AI Tools

Top 50 AI Companies: 2026 Edition

The 50 leading AI companies of 2026, ranked by published revenue or run-rate, then by announced valuation, from chips and clouds to model labs and agents.

An AI company, as used in this ranking, is a business whose core product is artificial intelligence: the chips and computing capacity used to train and run models, the foundation models themselves, the data and tooling that feed them, or applications and agents built on them. In 2026 the industry's revenue is concentrated at the bottom of that stack. NVIDIA reported US$215.9 billion of revenue for the fiscal year ended 25 January 2026, US$193.7 billion of it from data-center products, while CoreWeave, the largest listed specialist GPU cloud, reported US$5.13 billion for calendar 2025.

Model developers have grown faster from a smaller base. Anthropic's registration statement shows revenue rising from US$386 million in 2024 to US$4.6 billion in 2025 and a run-rate of about US$81 billion by 31 October 2026; OpenAI's chief financial officer said revenue exceeded US$20 billion in 2025. Two of the largest independent labs have moved toward public markets or into larger groups: xAI became part of SpaceX on 2 February 2026, and Anthropic launched its IPO roadshow on 10 November 2026.

Private capital remains the main source of funding for the application and infrastructure layers. Databricks raised US$5 billion at a US$190 billion valuation in August 2026, Cognition reached US$48 billion in September 2026 and Crusoe US$30.9 billion the same month. This list ranks 50 such companies on figures they or their regulators have published, separating companies that disclose revenue from those that disclose only a valuation.

Contents
  1. The AI value chain in 2026
  2. Market structure and capital
  3. How the ranking was built
  4. Methodology
  5. The list
  6. Full ranking table
  7. By layer
  8. By country
  9. Notable developments in 2026
  10. What to watch in 2027
  11. Frequently asked questions
  12. See also

At a glance

  1. NVIDIA — GPU systems, networking and software for AI training and inference
  2. Anthropic — Enterprise and developer use of frontier language models and coding agents
  3. OpenAI — Consumer and enterprise assistants, APIs and agents built on GPT models
  4. Databricks — Enterprises building AI on their own governed data
  5. CoreWeave — Large reserved GPU clusters for training and inference
  6. Palantir Technologies — Government and industrial deployments of AI on operational data
  7. xAI (SpaceX AI segment) — Grok assistant and models distributed through X
  8. UiPath — Enterprises combining software robots with AI agents in back-office processes
  9. Tempus AI — Oncology testing and real-world clinical data for drug developers
  10. Upstart — Banks and credit unions sourcing AI-underwritten personal loans
  11. Cognition — Engineering teams delegating coding tasks to agents
  12. SenseTime — Chinese enterprises and governments buying models and AI infrastructure
  13. Nebius Group — GPU cloud and managed inference outside the largest US hyperscalers
  14. Cerebras Systems — Low-latency inference at large scale
  15. ElevenLabs — Text-to-speech, dubbing and voice agents for media and customer service
  16. Sierra — Large consumer brands automating customer conversations
  17. Glean — Workplace search and agents over internal knowledge
  18. Innodata — Training-data creation, model evaluation and red-teaming
  19. C3.ai — Packaged AI applications for industry, defence and government
  20. Heartflow — Cardiology departments assessing coronary artery disease
  21. SoundHound AI — Voice assistants embedded in vehicles, TVs and ordering systems
  22. BigBear.ai — National-security analytics and AI
  23. Zhipu AI (Knowledge Atlas Technology) — Chinese enterprise and government model deployments
  24. Skild AI — Robot makers and operators seeking a shared control model
  25. Lovable — Non-engineers and small teams building web apps by prompt
  26. WeRide — Autonomous public-transport and robotaxi deployments
  27. Veritone — Media archives, public-safety evidence and licensed training data
  28. Pony AI — Robotaxi and autonomous trucking in Chinese cities
  29. WhiteFiber — Mid-sized GPU cloud and colocation capacity
  30. MiniMax — Multimodal models and consumer AI apps with an international user base
  31. Recursion Pharmaceuticals — AI-led drug discovery partnerships
  32. Rezolve AI — Retailers adding conversational product discovery and checkout
  33. Nscale — European GPU capacity for hyperscalers and model developers
  34. Kodiak AI — Autonomous freight and off-road haulage
  35. Aurora Innovation — Driverless long-haul trucking
  36. Figure AI — General-purpose humanoid robots for industrial and home tasks
  37. Crusoe — Gigawatt-scale AI campuses and managed inference
  38. Scale AI — Human-generated training data, evaluation and government AI programmes
  39. Mistral AI — European organisations wanting sovereign or self-hosted models
  40. Mercor — Expert human data for post-training and evaluation
  41. Harvey — Legal research, drafting and document review
  42. Applied Intuition — Automotive, trucking and defence autonomy software
  43. Replit — Building and hosting applications from prompts in the browser
  44. Cohere — Private, on-premises model deployments for regulated organisations
  45. Suno — Generating songs from text prompts
  46. Decagon — Customer-support automation for consumer and fintech brands
  47. Synthesia — Producing training and internal videos with AI avatars
  48. Hippocratic AI — Health systems automating patient outreach and follow-up
  49. Together AI — Developers serving open-weight models through an API
  50. Sakana AI — Japanese enterprises and financial institutions

The AI value chain in 2026

The AI industry is usually described as a stack of layers, each buying from the one below. Margins, capital needs and the number of competitors differ sharply between layers.

Chips and compute

Accelerators, the specialised processors that perform the matrix arithmetic of neural networks, are the largest single cost of building and running AI. NVIDIA dominates with its GPU platforms and is moving from Blackwell to the Rubin platform, which it expects to ship in the second half of its fiscal 2027. Alternatives include Cerebras's wafer-scale processors, whose 2025 revenue was US$510.0 million, and inference-specific designs such as Groq's, which NVIDIA licensed on a non-exclusive basis in December 2025. Model developers increasingly spread work across several chip families: Anthropic reports using AWS Trainium, Google TPUs, NVIDIA GPUs and AMD GPUs.

Cloud and infrastructure

This layer turns chips into rentable capacity. Besides the hyperscalers (Amazon Web Services, Microsoft Azure and Google Cloud, which are excluded here because AI is not their core business), a group of specialist GPU clouds, or neoclouds, has grown up. CoreWeave, Nebius, Crusoe, Nscale, WhiteFiber and Together AI sell capacity measured in gigawatts of contracted power: Nebius reports more than 2 GW and Crusoe more than 6 GW of gross contracted capacity. Revenue is concentrated in a few buyers; Microsoft supplied about 67% of CoreWeave's 2025 revenue.

Foundation-model labs

Foundation models are large neural networks trained on broad data and adapted to many tasks. The labs that train frontier models (the most capable at a given time) include Anthropic, OpenAI and xAI in the United States, Mistral AI in Europe, and Zhipu, MiniMax and SenseTime in China. Their revenue comes from API usage, subscriptions and enterprise contracts, and their largest cost is compute: OpenAI's capacity reached about 1.9 GW in 2025. Physical-AI labs such as Figure AI and Skild AI train models that control robots rather than generate text.

Data and tooling

Model quality depends on training data, evaluation and the platforms that connect models to enterprise data. Scale AI, Mercor and Innodata supply human-generated training and evaluation data; Innodata states that five of the so-called Magnificent Seven technology companies are clients. Databricks provides the data platform on which many enterprises build their own AI.

Applications and agents

Applications package models for a specific job. An AI agent is software that uses a model to plan and carry out multi-step tasks, calling other tools along the way. Coding agents (Cognition, Replit, Lovable), customer-service agents (Sierra, Decagon), legal (Harvey), voice (ElevenLabs, SoundHound AI), healthcare (Tempus AI, Heartflow, Hippocratic AI) and autonomous driving (WeRide, Pony AI, Aurora, Kodiak) are the largest categories in this list. Several have reached revenue run-rates of hundreds of millions of dollars within two or three years, for example Sierra at more than US$400 million and Cognition at more than US$1 billion.

Market structure and capital

Three kinds of disclosure describe the market's size in 2026: audited revenue from listed companies, run-rates announced by private companies, and valuations set in funding rounds. They measure different things and are not interchangeable.

Largest disclosed funding rounds and valuations, 2025–2026

CompanyDateAmountValuationLead investor(s)
Databricks13 Aug 2026US$5bnUS$190bnCoatue
Cognition8 Sep 2026Over US$2bnUS$48bnAndreessen Horowitz, Accel
Figure AI16 Sep 2025Over US$1bnUS$39bnParkway Venture Capital
Crusoe17 Sep 2026US$3.9bnUS$30.9bnAtreides, Mubadala Capital, Valor
Scale AI12 Jun 2025Not disclosedOver US$29bnMeta Platforms
Mistral AI8 Sep 2026€3bnOver €21bnSamsung Electronics
ElevenLabs30 Sep 2026US$300m (tender)US$22bnWellington, T. Rowe Price
Mercor10 Nov 2026US$750mUS$20bnNot specified
Nscale9 Mar 2026US$2bnUS$14.6bnAker ASA, 8090 Industries
Skild AI14 Jan 2026US$1.4bnOver US$14bnSoftBank

Disclosed revenue run-rates

A run-rate annualises a recent period, usually the latest month or quarter, and so overstates trailing revenue for fast-growing companies. The largest disclosed in 2026 were Anthropic's (about US$81 billion at 31 October), Databricks's (more than US$7 billion in August) and Cognition's (more than US$1 billion in September). ElevenLabs reported more than US$500 million, Sierra more than US$400 million, Glean more than US$300 million and Skild AI more than US$100 million.

Compute agreements

Model developers have signed multi-year capacity contracts that are large relative to their revenue. Cerebras disclosed an OpenAI agreement valued at more than US$20 billion for 750 megawatts of inference compute; CoreWeave disclosed an OpenAI commitment of up to about US$6.5 billion through May 2031; and Nscale plans to deploy more than 66,000 NVIDIA Vera Rubin NVL72 GPUs for Microsoft in Portugal from late 2027. Lambda, a GPU cloud not ranked here because it has published neither revenue nor a valuation, announced on 4 November 2026 an investment of more than US$33 billion in a new Alabama data centre.

How the ranking was built

Inclusion. A company is included if its core business is AI: it either describes its principal product as AI in its latest annual report, prospectus or own announcements, or sells AI-specific compute as its main business. Diversified technology groups whose AI revenue is not reported as their core business, including Microsoft, Alphabet, Amazon, Meta, Oracle, AMD and the large IT-services firms, are excluded, as are general-purpose server makers. NVIDIA is included because data-center products, sold mainly for AI, made up about 90% of its fiscal 2026 revenue (US$193.7 billion of US$215.9 billion){r(2)}. xAI is included as a reported segment of SpaceX because SpaceX publishes its revenue separately{r(9)}. Companies acquired during 2026, such as Cursor (by SpaceX){r(59)} and World Labs (agreed to join AMD){r(60)}, are excluded.

Ordering. Tier A ranks companies by the most recent revenue figure they have published, whether audited fiscal-year revenue in an annual report or prospectus, or an annualised run-rate or annual recurring revenue (ARR) stated by the company. Where a company has published both, the more recent is used; this is why Anthropic is ranked on its October 2026 run-rate rather than its 2025 revenue. A figure stated as "more than" is ranked at the stated floor. Tier B ranks companies that have published no revenue figure by their latest valuation announced by the company or its lead investor, including tender offers. Every Tier A company ranks above every Tier B company, because revenue is a measured outcome and a valuation is a negotiated price.

Currency. Figures in renminbi, euro and yen are converted to US dollars at European Central Bank reference cross rates on the last day of the reported period (31 December 2025 for 2025 revenue: 7.0010 renminbi per dollar) or on the announcement date for valuations (8 September 2026: 1.1614 dollars per euro; 17 November 2025: 154.90 yen per dollar).

Limits. Run-rates and audited annual revenue measure different periods, so adjacent ranks across those two bases are approximate. Companies that have published neither revenue nor a priced valuation, including DeepSeek, Safe Superintelligence, Thinking Machines Lab, Perplexity and Physical Intelligence, could not be ranked. No estimate by the compiler or by third-party trackers is used.

Methodology

The list covers 50 companies whose core business is artificial intelligence, drawn from all five layers of the AI value chain. Tier A (ranks 1–35) is ordered strictly by each company's latest published revenue figure: fiscal-year revenue from audited filings (SEC Forms 10-K, 20-F and S-1, Hong Kong Stock Exchange results announcements) or, where more recent, an annualised run-rate or ARR stated by the company itself. Tier B (ranks 36–50) contains companies that publish no revenue and is ordered strictly by the latest valuation announced by the company or its lead investor.

Non-dollar figures are converted at European Central Bank reference cross rates for the period-end or announcement date. Each figure was read from the primary source in November 2026 and carries the date of that source. No third-party revenue estimates, analyst models or media-reported valuations are used, and companies whose figures could not be verified on a primary source were left out.

The list

1

NVIDIA

Best for: GPU systems, networking and software for AI training and inference

NVIDIA designs graphics processing units (GPUs), networking and systems software, and sells them as complete data-center platforms. Revenue for fiscal 2026, which ended on 25 January 2026, was US$215.9 billion, of which the Data Center segment contributed US$193.7 billion. The company describes its Blackwell generation as "data-center-scale" products in which chips, networking, systems and software are co-designed so that hundreds of thousands of GPUs can operate as one computer. During fiscal 2026 it unveiled the Rubin platform, which it expects to begin production shipments in the second half of fiscal 2027 and which it says reduces cost per token by up to ten times compared with Blackwell. NVIDIA had about 42,000 employees in 38 countries at the end of the fiscal year. Its chips are also a supply input for many other companies on this list. The principal limitation is concentration: the data-center business depends on a small number of very large cloud and AI buyers, and on export-control rules that restrict sales to some countries.

Products

  • Blackwell data-center systems
  • Rubin platform (announced FY2026)
  • Networking and AI software stack

Recent milestones

  • 25 Feb 2026: fiscal 2026 revenue of US$215.9bn reported
  • 24 Dec 2025: non-exclusive inference technology licensing agreement with Groq announced by Groq
Revenue / run-rate (date)
US$215.9bn revenue, FY to 25 Jan 2026 [2]
Data Center revenue (FY2026)
US$193.7bn [2]
Headquarters
Santa Clara, California, US [1]
Employees
About 42,000 (end FY2026) [1]
Flagship models/products
Blackwell and Rubin data-center platforms
Listed on
Nasdaq (NVDA)
2

Anthropic

Best for: Enterprise and developer use of frontier language models and coding agents

Anthropic, a public benefit corporation founded in 2021 and headquartered in San Francisco, develops the Claude family of large language models (LLMs), which are neural networks trained to generate and reason over text, code and images. Its S-1 registration statement reports revenue of US$41 million in 2023, US$386 million in 2024 and US$4.6 billion in 2025, then US$33.2 billion in the nine months to 30 September 2026; run-rate revenue (a recent period's revenue annualised) was about US$81 billion at 31 October 2026. Claude is sold through an API, through applications such as Claude Code and Claude Cowork, and through Amazon Web Services, Google Cloud and Microsoft Azure. The company trains and serves models on AWS Trainium, Google TPUs, NVIDIA GPUs and AMD GPUs. On 10 November 2026 it launched the roadshow for an initial public offering of 825 million Class A shares at US$70 to US$78 each, to trade on Nasdaq as ANT. The filing lists customer concentration in large accounts and very high compute commitments among its risks.

Products

  • Claude model classes: Mythos (including Fable), Opus, Sonnet, Haiku
  • Claude Platform API
  • Claude Code and Claude Cowork applications

Recent milestones

  • Apr 2026: Claude Mythos Preview made available through Project Glasswing
  • Jun 2026: Fable 5 generally available
  • Sep 2026: Mythos 5.1 and Fable 5.1 released
  • 26 Oct 2026: S-1 filed with the SEC
  • 10 Nov 2026: IPO roadshow launched
Revenue / run-rate (date)
About US$81bn run-rate, 31 Oct 2026; US$4.6bn revenue in 2025 [3]
Latest valuation (round, date)
IPO price range US$70–78 per share (10 Nov 2026) [4]
Headquarters
San Francisco, California, US [3]
Founded
2021 [3]
Employees
About 5,300 (30 Sep 2026) [3]
Flagship models/products
Claude (Mythos/Fable, Opus, Sonnet, Haiku), Claude Code, Claude Cowork [3]
Key backers
Google (ownership capped at 14.99% under a 2026 agreement) [3]
3

OpenAI

Best for: Consumer and enterprise assistants, APIs and agents built on GPT models

OpenAI develops the GPT series of models and the ChatGPT assistant, which it distributes to consumers through subscriptions, to businesses through enterprise plans and to developers through an API. In a January 2026 blog post, chief financial officer Sarah Friar stated that revenue more than tripled in 2025 to over US$20 billion, from US$6 billion in 2024, and attributed the growth mainly to compute capacity, which rose from 0.2 gigawatts (GW) in 2023 to 0.6 GW in 2024 and about 1.9 GW in 2025. Its compute arrangements appear in suppliers' filings: CoreWeave reports an order form under which OpenAI committed to pay up to about US$6.5 billion through May 2031, and Cerebras reports a multi-year agreement valued at more than US$20 billion covering 750 megawatts of inference capacity. OpenAI does not publish audited accounts, so its figures cannot be compared line by line with those of listed companies. Its main limitation is the scale of the compute obligations it has signed relative to its current revenue.

Products

  • ChatGPT (consumer and enterprise)
  • GPT model API
  • Agent and coding tools

Recent milestones

  • Jan 2026: CFO reports 2025 revenue above US$20bn
  • Jan 2026: Cerebras agreement for 750 MW of inference compute, valued above US$20bn [17]
Revenue / run-rate (date)
More than US$20bn in 2025 (CFO statement, Jan 2026) [5]
Compute capacity
About 1.9 GW (2025) [5]
Flagship models/products
ChatGPT, GPT models, API
Key compute suppliers
CoreWeave, Cerebras [7][17]
4

Databricks

Best for: Enterprises building AI on their own governed data

Databricks sells a cloud data platform that combines data engineering, analytics and model development, and positions it as the base on which companies build AI applications and agents. On 13 August 2026 it reported a revenue run-rate above US$7 billion and year-on-year growth above 80% in its second quarter, together with a US$5 billion strategic funding round at a US$190 billion valuation led by Coatue. The release states that more than 20,000 organisations use the platform and gives the headquarters as San Francisco. Databricks sits in the data and tooling layer: it does not train frontier models for sale, but it hosts customers' models and connects them to governed enterprise data. Revenue is consumption-based, rising with customers' compute usage, which makes it sensitive to customers' budgets for data and AI projects. The company remains private and publishes no audited accounts.

Products

  • Data Intelligence Platform (lakehouse)
  • Model serving and agent tooling
  • Data governance tools

Recent milestones

  • 13 Aug 2026: US$5bn round at US$190bn valuation; run-rate above US$7bn
Revenue / run-rate (date)
More than US$7bn run-rate (13 Aug 2026) [6]
Latest valuation (round, date)
US$190bn (US$5bn strategic round, 13 Aug 2026) [6]
Headquarters
San Francisco, California, US [6]
Customers
More than 20,000 organisations [6]
Key backers
Coatue (lead, Aug 2026) [6]
5

CoreWeave

Best for: Large reserved GPU clusters for training and inference

CoreWeave rents GPU capacity built for AI workloads, a model often called a "neocloud" to distinguish it from general-purpose hyperscale clouds. Revenue in 2025 was US$5.13 billion. Its 10-K states that about 67% of 2025 revenue came from a single customer, Microsoft, and that OpenAI signed an order form in September 2025 committing to pay up to about US$6.5 billion through 31 May 2031. The company has bought software businesses to move up the stack, naming Weights & Biases, OpenPipe, Marimo and Monolith AI among its acquisitions. It is headquartered in Livingston, New Jersey, and had 2,189 employees at the end of 2025. Customer concentration is the clearest risk the company itself discloses: the loss or reduction of one or two contracts would materially change its revenue.

Products

  • GPU cloud instances and clusters
  • Weights & Biases model-development tools

Recent milestones

  • Sep 2025: OpenAI order form for up to about US$6.5bn through May 2031
  • 2 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$5.13bn, FY2025 [7]
Headquarters
Livingston, New Jersey, US [7]
Employees
2,189 (31 Dec 2025) [7]
Largest customer
Microsoft, about 67% of 2025 revenue [7]
Listed on
Nasdaq (CRWV)
6

Palantir Technologies

Best for: Government and industrial deployments of AI on operational data

Palantir sells four software platforms: Gotham, Foundry, Apollo and its Artificial Intelligence Platform (AIP), which it describes as its generative AI platform. Revenue in 2025 was US$4.48 billion, made up of US$2.40 billion from government customers and US$2.07 billion from commercial customers. Foundry supplies the data layer, the Palantir Ontology, which maps an organisation's data, logic and actions; AIP lets customers connect large language models to that layer so that models act on operational data rather than on documents alone. Palantir was founded in 2003 and began by building software for the US intelligence community. Its 10-K lists principal executive offices in Aventura, Florida, and 4,429 full-time employees at the end of 2025. The company depends heavily on public-sector contracts, which are subject to budget cycles and political scrutiny.

Products

  • Artificial Intelligence Platform (AIP)
  • Foundry and the Palantir Ontology
  • Gotham
  • Apollo

Recent milestones

  • 17 Feb 2026: 2025 annual report filed; government revenue US$2.40bn, commercial US$2.07bn
Revenue / run-rate (date)
US$4.48bn, FY2025 [8]
Headquarters
Aventura, Florida, US [8]
Founded
2003 [8]
Employees
4,429 full-time (31 Dec 2025) [8]
Flagship models/products
AIP, Foundry, Gotham, Apollo [8]
Listed on
Nasdaq (PLTR)
7

xAI (SpaceX AI segment)

Best for: Grok assistant and models distributed through X

xAI develops the Grok models and assistant. SpaceX acquired X.AI Holdings Corp. effective 2 February 2026, and xAI had itself acquired X Holdings, owner of the X social network, effective 28 March 2025. SpaceX now reports an AI segment comprising AI compute, Grok and X; in 2025 that segment generated revenue of US$3.20 billion and an operating loss of US$6.36 billion, and in the first quarter of 2026 revenue of US$818 million. Capital expenditure attributed to the AI segment was US$12.7 billion in 2025. SpaceX reports about 550 million monthly active AI users across Grok and X as of March 2026. In 2023 and 2024 nearly all AI-segment revenue came from X advertising, subscriptions and data licensing, so the segment figure is not a measure of model revenue alone. SpaceX also acquired Cursor, the AI coding editor, in August 2026.

Products

  • Grok models and assistant
  • X social network
  • AI training clusters

Recent milestones

  • 2 Feb 2026: merger into SpaceX effective
  • 2026: SpaceX files S-1 to list on Nasdaq as SPCX
  • 14 Aug 2026: SpaceX completes acquisition of Cursor [59]
Revenue / run-rate (date)
US$3.20bn AI segment revenue, FY2025 (includes X) [9]
Parent
Space Exploration Technologies Corp. (since 2 Feb 2026) [9]
Flagship models/products
Grok, X [9]
Users
About 550m monthly active AI users across Grok and X (Mar 2026) [9]
8

UiPath

Best for: Enterprises combining software robots with AI agents in back-office processes

UiPath sells an automation platform that began with robotic process automation (software that repeats rule-based tasks in user interfaces) and is now marketed as agentic automation, in which AI agents plan and carry out multi-step work under human controls. Revenue for the fiscal year ended 31 January 2026 was US$1.61 billion. The company was established in Bucharest, Romania, in 2005, incorporated in Delaware in 2015, and has its principal executive offices in New York; it had 3,981 full-time employees at fiscal year-end. Its customers are mostly large enterprises and public bodies that already run UiPath robots, which gives it an installed base into which agent products can be sold. The limitation is competitive: the same agent capabilities are offered by model developers and by large software vendors that sell to the same buyers.

Products

  • UiPath Platform for agentic automation
  • Software robots (RPA)
  • Process and document understanding tools

Recent milestones

  • 25 Mar 2026: fiscal 2026 annual report filed
Revenue / run-rate (date)
US$1.61bn, FY to 31 Jan 2026 [10]
Headquarters
New York, US [10]
Founded
2005, Bucharest [10]
Employees
3,981 full-time (31 Jan 2026) [10]
Listed on
NYSE (PATH)
9

Tempus AI

Best for: Oncology testing and real-world clinical data for drug developers

Tempus AI sells genomic and diagnostic tests to clinicians and licenses de-identified clinical and molecular data to pharmaceutical companies, using machine-learning models to match patients to therapies and trials. Revenue in 2025 was US$1.27 billion. The company was founded in 2015, renamed Tempus Labs in 2016 and Tempus AI in 2023, and reincorporated from Delaware to Nevada on 7 August 2025; its principal executive offices are in Chicago. Its revenue therefore comes mostly from laboratory testing and data licensing rather than from software subscriptions, which places it at the applied end of the AI industry. The 10-K highlights its limited operating history and rapid growth as factors that make its prospects difficult to evaluate.

Products

  • Genomic sequencing and diagnostic tests
  • Clinical and molecular data licensing
  • AI tools for trial matching

Recent milestones

  • 7 Aug 2025: reincorporated in Nevada
  • 24 Feb 2026: 2025 annual report filed
Revenue / run-rate (date)
US$1.27bn, FY2025 [11]
Headquarters
Chicago, Illinois, US [11]
Founded
2015 [11]
Listed on
Nasdaq (TEM)
10

Upstart

Best for: Banks and credit unions sourcing AI-underwritten personal loans

Upstart operates what its annual report calls an AI lending marketplace: its models assess borrowers' credit risk and route loans to partner banks, credit unions and capital-markets buyers. Revenue in 2025 was US$1.04 billion. The company's principal executive offices are in San Mateo, California, and it had 1,405 full-time employees at the end of 2025. Upstart is included here because its product is the output of proprietary machine-learning models; it is a lending business, not a model developer. Its 10-K lists the ability to keep improving the AI models, to increase loan volume through the marketplace and to maintain diversified loan funding among the factors that drive results. Its revenue depends on credit conditions and on the willingness of funding partners to buy loans.

Products

  • AI lending marketplace
  • Underwriting models for bank and credit-union partners

Recent milestones

  • 10 Feb 2026: 2025 annual report filed
Revenue / run-rate (date)
US$1.04bn, FY2025 [12]
Headquarters
San Mateo, California, US [12]
Employees
1,405 full-time (31 Dec 2025) [12]
Listed on
Nasdaq (UPST)
11

Cognition

Best for: Engineering teams delegating coding tasks to agents

Cognition builds Devin, a software agent that plans and writes code, runs tests and opens pull requests with limited human input. On 25 September 2026 the company announced that it had passed US$1 billion in annualised revenue run-rate, less than two years after Devin became generally available, naming GE Aerospace and Rivian among customers. Its valuation rose quickly: US$10.2 billion in September 2025, US$26 billion in a round of over US$1 billion led by Lux Capital, General Catalyst and 8VC on 27 May 2026, and US$48 billion in a Series E of over US$2 billion led by Andreessen Horowitz and Accel on 8 September 2026. It signed an agreement to acquire the Windsurf coding editor in July 2025 and has since added teams including The Interaction Company and Corridor. Coding agents are the most contested application category, with model developers selling competing tools directly.

Products

  • Devin autonomous coding agent
  • Windsurf agentic editor
  • Devin Security

Recent milestones

  • 14 Jul 2025: agreement to acquire Windsurf
  • 27 May 2026: US$26bn valuation
  • 8 Sep 2026: US$48bn valuation
  • 25 Sep 2026: run-rate above US$1bn
  • 28 Oct 2026: Corridor joins
Revenue / run-rate (date)
More than US$1bn run-rate (25 Sep 2026) [13]
Latest valuation (round, date)
US$48bn (Series E, 8 Sep 2026) [14]
Flagship models/products
Devin, Windsurf [14]
Key backers
Andreessen Horowitz, Accel, Founders Fund, Lux Capital [14]
12

SenseTime

Best for: Chinese enterprises and governments buying models and AI infrastructure

SenseTime began as a computer-vision company and now sells generative AI models, AI infrastructure and vision applications, mainly in mainland China. Revenue for 2025 rose 32.9% to RMB5.01 billion, its fastest growth in three years; the loss for the year narrowed 58.6% to RMB1.78 billion. At the European Central Bank cross rate on 31 December 2025 the revenue equals about US$716 million. Gross margin was 41.0% of revenue. The company reports that second-half 2025 EBITDA (earnings before interest, tax, depreciation and amortisation) turned positive, although full-year EBITDA was still negative. Like other Chinese developers, it operates under US export controls on advanced AI chips, which constrain the compute it can deploy.

Products

  • Generative AI models and services
  • AI infrastructure (computing capacity)
  • Computer-vision applications

Recent milestones

  • 24 Mar 2026: 2025 annual results; revenue up 32.9%
Revenue / run-rate (date)
RMB5,014.6m (about US$716m), FY2025 [15]
Loss for the year
RMB1,782.0m (2025) [15]
Listed on
Hong Kong Stock Exchange (0020)
13

Nebius Group

Best for: GPU cloud and managed inference outside the largest US hyperscalers

Nebius Group, incorporated in the Netherlands with principal offices at Schiphol, operates a full-stack AI cloud: GPU clusters, storage and software for training and inference. Revenue in 2025 was US$530 million. The company released Nebius Token Factory, a managed inference service for deploying and fine-tuning open-source and custom models, in November 2025. Its 20-F states that new sites in the United States, France, the United Kingdom and Israel bring total contracted power to more than 2 GW, most of it in data centres the company owns and designs. Nebius had about 1,500 employees at the end of 2025, most of them engineers. The scale of planned capacity relative to current revenue means results depend on signing large, long-term customer contracts.

Products

  • GPU cloud clusters
  • Nebius Token Factory managed inference (Nov 2025)

Recent milestones

  • Nov 2025: Token Factory released
  • 30 Apr 2026: 2025 annual report filed
Revenue / run-rate (date)
US$530m, FY2025 [16]
Headquarters
Schiphol, the Netherlands [16]
Employees
About 1,500 (31 Dec 2025) [16]
Contracted power
More than 2 GW [16]
Listed on
Nasdaq (NBIS)
14

Cerebras Systems

Best for: Low-latency inference at large scale

Cerebras designs wafer-scale processors, chips the size of a full silicon wafer, and sells them as hardware systems and as a cloud inference service. Revenue in 2025 was US$510.0 million, up from US$290.3 million in 2024; hardware contributed US$358.4 million and cloud and other services US$151.6 million. Founded in 2016 and based in Sunnyvale, California, it had 708 staff at the end of 2025. In January 2026 it announced a multi-year agreement with OpenAI valued at more than US$20 billion for 750 megawatts of inference compute, and in March 2026 it began a partnership with AWS. Its registration statement set a price range of US$150 to US$160 per share for a Nasdaq listing as CBRS. The filing discloses that a significant majority of 2025 revenue came from customers headquartered in the United Arab Emirates, notably G42 and MBZUAI.

Products

  • Wafer-scale processors and systems
  • Cerebras inference cloud

Recent milestones

  • Jan 2026: OpenAI agreement for 750 MW, valued above US$20bn
  • Mar 2026: AWS partnership
  • Apr–May 2026: S-1 and amendments filed
Revenue / run-rate (date)
US$510.0m, FY2025 [17]
Headquarters
Sunnyvale, California, US [17]
Founded
2016 [17]
Employees
708 (31 Dec 2025) [17]
Key customers
OpenAI, G42, MBZUAI, AWS [17]
Listed on
Nasdaq (CBRS)
15

ElevenLabs

Best for: Text-to-speech, dubbing and voice agents for media and customer service

ElevenLabs develops speech-synthesis, transcription and voice-cloning models and sells them through an API, a creator product and ElevenAgents, a platform for conversational voice agents. The company reported annual recurring revenue (ARR) of US$350 million at the end of 2025 and more than US$500 million within the first four months of 2026. It raised US$500 million in a Series D at an US$11 billion valuation on 4 February 2026, and on 30 September 2026 announced a US$300 million employee tender offer, led by Wellington and T. Rowe Price, at a US$22 billion valuation. Investors named in May 2026 include BlackRock, NVIDIA's NVentures and Deutsche Telekom's T.Capital. Enterprise customers account for 55% of revenue and the company has more than 800 staff. Voice cloning carries misuse risk, and competing speech models are offered by the largest labs.

Products

  • Text-to-speech and voice models
  • ElevenAgents conversational platform
  • Dubbing and transcription

Recent milestones

  • 4 Feb 2026: US$500m Series D at US$11bn
  • 5 May 2026: ARR above US$500m
  • 30 Sep 2026: tender at US$22bn
Revenue / run-rate (date)
More than US$500m ARR (first four months of 2026) [18]
Latest valuation (round, date)
US$22bn (employee tender, 30 Sep 2026) [19]
Employees
More than 800 (Sep 2026) [19]
Flagship models/products
Speech models, ElevenAgents
Key backers
Andreessen Horowitz, ICONIQ, Wellington, BlackRock, NVIDIA [18][19]
16

Sierra

Best for: Large consumer brands automating customer conversations

Sierra builds AI agents that handle customer-service conversations for large companies and charges on an outcome basis, so that customers pay for resolved conversations rather than for model usage. On 30 October 2026 the company reported more than US$400 million in ARR, having added more than US$150 million in the third quarter alone; ARR grew from US$100 million to US$200 million in six months and from US$200 million to US$400 million in five. It says it works with almost half of the Fortune 50. A May 2026 post referenced by the company described a US$950 million raise at a valuation above US$15 billion. On 5 November 2026 it announced the acquisition of Anon. Sierra competes with contact-centre software vendors that are adding similar agents to existing contracts.

Products

  • Customer-experience AI agents
  • Agent development and evaluation tooling

Recent milestones

  • 6 Feb 2026: ARR above US$150m
  • 4 May 2026: US$950m raise above US$15bn
  • 30 Oct 2026: ARR above US$400m
  • 5 Nov 2026: Anon acquisition
Revenue / run-rate (date)
More than US$400m ARR (30 Oct 2026) [20]
Latest valuation (round, date)
Above US$15bn (US$950m raise, May 2026) [20]
Flagship models/products
Sierra agent platform
17

Glean

Best for: Workplace search and agents over internal knowledge

Glean indexes a company's documents, tickets, messages and applications and lets employees query them through search, an assistant and agents, with access controls carried over from source systems. The company announced on 28 May 2026 that it had surpassed US$300 million in ARR. Its most recent priced round on its own site is a US$150 million Series F at a US$7.2 billion valuation, led by Wellington Management and announced on 10 June 2025, when ARR had passed US$100 million. Glean belongs to a group of application companies that rely on third-party models and differentiate on data connectors and permissions. Its limitation is that cloud-suite vendors bundle comparable assistants into existing licences.

Products

  • Enterprise search
  • AI assistant
  • Agent builder

Recent milestones

  • 10 Jun 2025: Series F at US$7.2bn
  • 28 May 2026: ARR above US$300m
Revenue / run-rate (date)
More than US$300m ARR (28 May 2026) [21]
Latest valuation (round, date)
US$7.2bn (Series F, 10 Jun 2025) [22]
Key backers
Wellington Management (Series F lead) [22]
Flagship models/products
Enterprise search, assistant and agents
18

Innodata

Best for: Training-data creation, model evaluation and red-teaming

Innodata describes itself as a data-engineering and AI-systems services company supporting the development, training, post-training, evaluation and deployment of AI systems. Revenue in 2025 was US$251.7 million. Its 10-K states that leading AI laboratories and large technology companies, including five of the so-called Magnificent Seven, engage it for training and post-training data, alignment and preference optimisation, and capability and safety evaluations. Founded in 1988 and based in Ridgefield Park, New Jersey, it employed 10,107 people at the end of 2025, most of them full-time. Innodata's revenue depends on a small number of very large technology customers, so changes in one lab's data programme can move results sharply.

Products

  • Training and post-training data
  • Model evaluation and safety testing
  • Enterprise AI data services

Recent milestones

  • 26 Feb 2026: 2025 annual report filed
Revenue / run-rate (date)
US$251.7m, FY2025 [23]
Headquarters
Ridgefield Park, New Jersey, US [23]
Founded
1988 [23]
Employees
10,107 (31 Dec 2025) [23]
Listed on
Nasdaq (INOD)
19

C3.ai

Best for: Packaged AI applications for industry, defence and government

C3.ai sells the C3 Agentic AI Platform, a library of C3 AI Applications for uses such as predictive maintenance and supply-chain optimisation, and C3 Generative AI. Revenue for the fiscal year ended 30 April 2026 was US$250.3 million. The company is based in Redwood City, California, and had 764 full-time employees at fiscal year-end, 582 of them in the United States. C3.ai was one of the first companies to list on a US exchange as an "enterprise AI" vendor, and it sells through direct sales and alliances with cloud providers. Its annual report identifies achieving and sustaining profitability as an open question and notes pending litigation among its risks.

Products

  • C3 Agentic AI Platform
  • C3 AI Applications
  • C3 Generative AI

Recent milestones

  • 24 Jun 2026: fiscal 2026 annual report filed
Revenue / run-rate (date)
US$250.3m, FY to 30 Apr 2026 [24]
Headquarters
Redwood City, California, US [24]
Employees
764 full-time (30 Apr 2026) [24]
Flagship models/products
C3 Agentic AI Platform, C3 AI Applications [24]
Listed on
NYSE (AI)
20

Heartflow

Best for: Cardiology departments assessing coronary artery disease

Heartflow provides software and AI that analyse coronary CT angiography scans to assess coronary artery disease without an invasive procedure. Revenue in 2025 was US$176.0 million. The company states that its platform has been used to assess more than 600,000 patients, including 219,000 in 2025 alone. It is based in Mountain View, California, and had 843 full-time employees at the end of 2025. Heartflow is an example of AI sold as a regulated medical product, priced per analysis and paid for largely by health insurers. Its 10-K names healthcare reimbursement policy as a risk to its ability to grow revenue.

Products

  • Heartflow Platform for coronary CT analysis

Recent milestones

  • 18 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$176.0m, FY2025 [25]
Headquarters
Mountain View, California, US [25]
Employees
843 full-time (31 Dec 2025) [25]
Patients assessed
More than 600,000 cumulative [25]
Listed on
Nasdaq (HTFL)
21

SoundHound AI

Best for: Voice assistants embedded in vehicles, TVs and ordering systems

SoundHound AI licenses voice-recognition and conversational AI to manufacturers of cars, televisions and connected devices, and sells customer-service products such as Smart Answering, Smart Ordering and Employee Assist. Revenue in 2025 was US$168.9 million. Developers can access its technology through Houndify, an open-access platform with more than 100 content domains. The company is based in Santa Clara, California, and had about 954 full-time employees at the end of 2025, 56% of them in the United States. SoundHound's products overlap with voice features that large model developers and device makers can build themselves, which limits pricing power with the largest customers.

Products

  • Houndify developer platform
  • SoundHound Chat AI
  • Smart Answering and Smart Ordering

Recent milestones

  • 2026: 2025 annual report filed
Revenue / run-rate (date)
US$168.9m, FY2025 [26]
Headquarters
Santa Clara, California, US [26]
Employees
About 954 full-time (31 Dec 2025) [26]
Flagship models/products
Houndify, SoundHound Chat AI [26]
Listed on
Nasdaq (SOUN)
22

BigBear.ai

Best for: National-security analytics and AI

BigBear.ai sells AI and analytics software and services to US defence, intelligence and homeland-security customers. Revenue in 2025 was US$127.7 million. The company is based in McLean, Virginia, and had 579 employees at the end of 2025, the large majority in the United States and holding security clearances; about 67% of its workforce are software engineers, data scientists and related specialists. Its 10-K describes a balance-sheet change after year-end that substantially reduced debt, which it says lets it invest from a stronger position. Revenue depends on government contract awards and their timing, and the company competes with Palantir and large defence contractors for the same programmes.

Products

  • Decision-intelligence analytics
  • Defence AI services

Recent milestones

  • 2 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$127.7m, FY2025 [27]
Headquarters
McLean, Virginia, US [27]
Employees
579 (31 Dec 2025) [27]
Listed on
NYSE (BBAI)
23

Zhipu AI (Knowledge Atlas Technology)

Best for: Chinese enterprise and government model deployments

Zhipu, whose listed entity is Knowledge Atlas Technology Joint Stock Company, develops the GLM family of large language models and sells them through cloud APIs and on-premises deployments to enterprises, developers and end users. Revenue in 2025 rose 131.9% to RMB724.3 million, about US$103 million at the ECB cross rate for 31 December 2025. The loss for the year widened 59.5% to RMB4.72 billion, driven by research and development expenses of RMB3.18 billion. Gross profit was RMB296.7 million. Zhipu trades on the Hong Kong Stock Exchange under code 2513. Its main constraint is the gap between research spending and revenue, together with US export controls that limit access to the most advanced accelerators.

Products

  • GLM large language models
  • Model API and on-premises deployment
  • Agent products

Recent milestones

  • 31 Mar 2026: first annual results as a listed company; revenue up 131.9%
Revenue / run-rate (date)
RMB724.3m (about US$103m), FY2025 [28]
Loss for the year
RMB4,718.2m (2025) [28]
Flagship models/products
GLM models
Listed on
Hong Kong Stock Exchange (2513) [28]
24

Skild AI

Best for: Robot makers and operators seeking a shared control model

Skild AI develops a foundation model for robotics, a single model intended to control many types of robot body across tasks. On 14 January 2026 it announced a US$1.4 billion Series C led by SoftBank at a valuation of more than US$14 billion. On 10 September 2026 it reported passing US$100 million in ARR about ten months after its first commercial deployment. Its earlier US$300 million Series A in July 2024 was backed by Lightspeed, Coatue, SoftBank and Jeff Bezos. Skild belongs to the physical-AI segment, where models must work in uncontrolled real-world settings and where data collection is slower and more expensive than for text models.

Products

  • Robotics foundation model

Recent milestones

  • 14 Jan 2026: US$1.4bn Series C
  • 10 Sep 2026: ARR above US$100m
Revenue / run-rate (date)
More than US$100m ARR (10 Sep 2026) [29]
Latest valuation (round, date)
More than US$14bn (Series C, 14 Jan 2026) [29]
Key backers
SoftBank, Lightspeed, Coatue [29]
25

Lovable

Best for: Non-engineers and small teams building web apps by prompt

Lovable lets users describe an application in plain language and generates the code, database and hosting, a practice often called "vibe coding". The company announced US$100 million in ARR on 23 July 2025, its most recent company-stated revenue figure. On 12 August 2026 it raised a US$400 million Series C at a US$13.3 billion valuation, led by Menlo Ventures and co-led by the Scaleup Europe Fund managed by EQT; it says users have created more than 60 million projects and that Lovable-built apps receive over 900 million visits a month. It keeps its "centre of gravity" in Stockholm and plans to grow to about 450 staff in 2026. It has acquired Molnett (November 2025) and Sutro (September 2026). Its dependence on third-party models exposes margins to model pricing.

Products

  • Lovable app builder
  • Lovable Agent
  • Hosting and backend services

Recent milestones

  • 23 Jul 2025: ARR of US$100m
  • 18 Dec 2025: US$330m Series B
  • 12 Aug 2026: US$400m Series C at US$13.3bn
  • 18 Sep 2026: Sutro acquired
Revenue / run-rate (date)
US$100m ARR (23 Jul 2025) [30]
Latest valuation (round, date)
US$13.3bn (Series C, 12 Aug 2026) [30]
Headquarters
Stockholm, Sweden [30]
Key backers
Menlo Ventures, EQT Scaleup Europe Fund, Accel, CapitalG [30]
26

WeRide

Best for: Autonomous public-transport and robotaxi deployments

WeRide develops level-4 autonomous driving systems (vehicles that drive themselves within a defined area without a human driver) and sells autonomous vehicles and services, including robotaxis, robobuses, robosweepers and robovans. Revenue in 2025 was RMB684.6 million, up from RMB361.1 million in 2024, about US$98 million at the ECB cross rate for 31 December 2025. Product sales were 52.6% of 2025 revenue and services 47.4%. The company commenced operations in 2017, launched paid robotaxi services in China in 2019, and had 3,801 employees at the end of 2025. It is listed in the United States and Hong Kong. Commercial scale depends on regulatory permits city by city.

Products

  • Robotaxi
  • Robobus
  • Robovan and robosweeper
  • ADAS solutions

Recent milestones

  • 23 Apr 2026: 2025 annual report filed
Revenue / run-rate (date)
RMB684.6m (about US$98m), FY2025 [31]
Headquarters
Guangzhou, China [31]
Employees
3,801 (31 Dec 2025) [31]
Listed on
Nasdaq (WRD); Hong Kong Stock Exchange
27

Veritone

Best for: Media archives, public-safety evidence and licensed training data

Veritone describes itself as a provider of AI computing solutions and as the creator of one of the first AI operating systems, aiWARE, which orchestrates multiple AI models over audio, video and text. Revenue in 2025 was US$92.2 million. The company is based in Irvine, California, and had 446 employees at the end of 2025, 437 of them full-time, with staff in the United States, Israel and other countries. It sells to media and entertainment companies, public-sector agencies and AI developers that license its data. Veritone is a small, loss-making company whose scale limits its ability to compete with larger AI platform vendors.

Products

  • aiWARE AI operating system
  • Media and entertainment AI
  • Public-sector redaction and evidence tools

Recent milestones

  • 15 Apr 2026: 2025 annual report filed
Revenue / run-rate (date)
US$92.2m, FY2025 [32]
Headquarters
Irvine, California, US [32]
Employees
446 (31 Dec 2025) [32]
Flagship models/products
aiWARE
Listed on
Nasdaq (VERI)
28

Pony AI

Best for: Robotaxi and autonomous trucking in Chinese cities

Pony AI develops autonomous-driving software and operates robotaxi and robotruck services, mainly in China. Revenue in 2025 was US$90.0 million. Its principal executive offices are in the Nansha district of Guangzhou, and it had 1,669 employees at the end of 2025, a substantial majority in China and the rest in Fremont, California. The company lists the timeline and results of large-scale commercialisation of its robotaxi and robotruck services among the main uncertainties in its forward-looking statements. Like WeRide, it depends on municipal permits and on the cost of vehicle hardware falling as fleets grow.

Products

  • Robotaxi services
  • Robotruck services
  • Autonomous-driving software licensing

Recent milestones

  • 22 Apr 2026: 2025 annual report filed
Revenue / run-rate (date)
US$90.0m, FY2025 [33]
Headquarters
Guangzhou, China [33]
Employees
1,669 (31 Dec 2025) [33]
Listed on
Nasdaq (PONY)
29

WhiteFiber

Best for: Mid-sized GPU cloud and colocation capacity

WhiteFiber describes itself as a provider of AI infrastructure solutions: it owns high-performance computing data centres, provides cloud GPU services for AI application and machine-learning developers, and offers hosting and colocation in Tier-3 facilities. Revenue in 2025 was US$79.2 million. The company has principal executive offices in New York and employed 83 full-time staff at the end of 2025. It is one of several smaller neoclouds that compete with CoreWeave, Nebius and Crusoe for GPU leases, usually with fewer and smaller customers. Its cloud services support generative-AI training and inference, and its data centres also host other companies' equipment under colocation contracts. Small scale and customer concentration are its main limitations.

Products

  • GPU cloud services
  • HPC data-centre colocation

Recent milestones

  • 26 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$79.2m, FY2025 [34]
Headquarters
New York, US [34]
Employees
83 full-time (31 Dec 2025) [34]
Listed on
Nasdaq (WYFI)
30

MiniMax

Best for: Multimodal models and consumer AI apps with an international user base

MiniMax develops foundation models across text, video, image, speech and music and sells them through an open platform for developers and through consumer applications. Its interim results announcement states that total revenue for 2025 was US$79.0 million. In the six months to 30 June 2026, revenue rose 283.1% to US$116.6 million, already above the full-year 2025 figure, and revenue from the Open Platform and other AI-based enterprise services rose from US$9.2 million to US$73.9 million, or 63.4% of the total. The loss for the half-year was US$358.0 million. MiniMax trades in Hong Kong under stock code 0100. Its model releases in 2026 include MiniMax M3 for text and H3 for video and images. Losses remain several times revenue.

Products

  • MiniMax M3 language models
  • H3 video and image models
  • Speech and music models
  • Open Platform API

Recent milestones

  • 26 Aug 2026: H1 2026 revenue up 283.1%
Revenue / run-rate (date)
US$79.0m, FY2025; US$116.6m, H1 2026 [35]
Flagship models/products
MiniMax M3, H3, Speech 2.8, Music 3.0
Listed on
Hong Kong Stock Exchange (0100) [35]
31

Recursion Pharmaceuticals

Best for: AI-led drug discovery partnerships

Recursion uses automated laboratories and machine-learning models to identify drug candidates, and earns revenue mainly from discovery partnerships with large pharmaceutical companies. Revenue in 2025 was US$74.7 million. The company is based in Salt Lake City, Utah. It combined with Exscientia, another AI drug-discovery company, in November 2024, and its 2025 filing reflects the integration and disposals of some Exscientia assets. Recursion's value rests mainly on its clinical pipeline rather than on current revenue, so results depend on trial outcomes that are uncertain and slow to arrive. The Exscientia combination joined two of the earliest AI-first drug-discovery companies in one listed entity.

Products

  • Clinical-stage drug pipeline
  • Pharma discovery partnerships

Recent milestones

  • 20 Nov 2024: Exscientia combination
  • 25 Feb 2026: 2025 annual report filed
Revenue / run-rate (date)
US$74.7m, FY2025 [36]
Headquarters
Salt Lake City, Utah, US [36]
Listed on
Nasdaq (RXRX)
32

Rezolve AI

Best for: Retailers adding conversational product discovery and checkout

Rezolve AI states that it operates a global, AI-driven commerce platform that combines product discovery, conversation, checkout, payments and fulfilment for merchants, built on proprietary AI and machine-learning models. Revenue in 2025 was US$46.8 million. Its principal executive offices are at 21 Sackville Street, London, and it had 573 employees and 230 contractors at the end of 2025. Part of its growth has come from acquisitions of established software businesses, including Crownpeak, a digital-experience management platform founded in 2001. Rezolve is incorporated in the United Kingdom and files annual reports with the SEC as a foreign private issuer. Acquisition-led growth makes underlying organic growth harder to measure.

Products

  • Conversational commerce platform
  • Crownpeak digital experience platform

Recent milestones

  • 30 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$46.8m, FY2025 [37]
Headquarters
London, UK [37]
Employees
573 plus 230 contractors (31 Dec 2025) [37]
Listed on
Nasdaq (RZLV)
33

Nscale

Best for: European GPU capacity for hyperscalers and model developers

Nscale, incorporated in May 2024, builds and operates data centres and an AI cloud in low-cost power markets including Norway, Portugal, Iceland and the United States. Revenue was US$33.0 million in 2025 and US$19.1 million in 2024, then US$140.6 million in the first half of 2026. A Portuguese campus will support an expanded collaboration with Microsoft through more than 66,000 NVIDIA Vera Rubin NVL72 GPUs from late 2027. On 9 March 2026 it raised a US$2 billion Series C at a US$14.6 billion valuation, led by Aker ASA and 8090 Industries. It agreed on 28 July 2026 to acquire Anyscale, the company behind the Ray distributed-computing framework, and filed in September 2026 to list on the NYSE as NSCL. Its very short operating history is the principal risk.

Products

  • Nscale Cloud GPU services
  • Owned data centres in Norway, Portugal, Iceland and US

Recent milestones

  • 9 Mar 2026: US$2bn Series C
  • 28 Jul 2026: Anyscale acquisition agreed
  • 18 Sep 2026: S-1 filed (NYSE: NSCL)
Revenue / run-rate (date)
US$33.0m, FY2025; US$140.6m, H1 2026 [38]
Latest valuation (round, date)
US$14.6bn (Series C, 9 Mar 2026) [39]
Headquarters
London, UK [39]
Founded
Incorporated May 2024 [38]
Key backers
Aker ASA, 8090 Industries, NVIDIA [39]
34

Kodiak AI

Best for: Autonomous freight and off-road haulage

Kodiak AI describes itself as a provider of physical AI focused on AI-powered autonomous-vehicle technology for trucking. Revenue in 2025 was US$3.8 million. Legacy Kodiak was founded in 2018 and began driverless commercial operations in December 2024. Its first driverless deployments have been in off-road and industrial settings, where routes are controlled, ahead of broader highway operation. Physical AI is the industry term for AI systems that perceive and act in the physical world, such as vehicles and robots. The company argues that driverless trucks can improve road safety and truck utilisation while reducing costs. Revenue is still very small relative to costs, and the 10-K highlights its limited operating history.

Products

  • Driverless trucking system for highway and off-road haulage

Recent milestones

  • Dec 2024: driverless commercial operations began
  • 11 Mar 2026: 2025 annual report filed
Revenue / run-rate (date)
US$3.8m, FY2025 [40]
Founded
2018 [40]
Listed on
Nasdaq (KDK)
35

Aurora Innovation

Best for: Driverless long-haul trucking

Aurora develops self-driving technology, with commercial driverless trucking as its first product. Revenue in 2025 was US$3.0 million. The company was founded in 2017 by Chris Urmson, Sterling Anderson and Drew Bagnell, is based in Pittsburgh, Pennsylvania, and had about 1,900 employees at the end of 2025. Its annual report sets out the expected benefits of driverless trucks, including lower fuel use through eco-driving and off-peak deployment. Aurora's revenue is at an early stage relative to its research spending, so it ranks near the bottom of the revenue tier despite its scale of operations.

Products

  • Self-driving system for heavy trucks

Recent milestones

  • 11 Feb 2026: 2025 annual report filed
Revenue / run-rate (date)
US$3.0m, FY2025 [41]
Headquarters
Pittsburgh, Pennsylvania, US [41]
Founded
2017 [41]
Employees
About 1,900 (31 Dec 2025) [41]
Listed on
Nasdaq (AUR)
36

Figure AI

Best for: General-purpose humanoid robots for industrial and home tasks

Figure AI builds humanoid robots and the Helix vision-language-action models that control them. On 16 September 2025 it announced more than US$1 billion in committed Series C capital at a US$39 billion post-money valuation, led by Parkway Venture Capital with Brookfield Asset Management, NVIDIA, Intel Capital, Qualcomm Ventures and others. Figure 03, its third-generation robot, was introduced on 9 October 2025; Helix 02, described as full-body autonomy, followed on 27 January 2026, and Helix 2.5, which the company says generalises zero-shot across 30 homes, on 17 September 2026. It reported ramping Figure 03 production in April 2026 and delivering F.03 robots to BMW in June 2026. Figure has disclosed no revenue, and humanoid robots remain unproven at commercial scale.

Products

  • Figure 03 humanoid robot
  • Helix vision-language-action models

Recent milestones

  • 16 Sep 2025: Series C at US$39bn
  • 9 Oct 2025: Figure 03 introduced
  • 27 Jan 2026: Helix 02
  • 30 Jun 2026: F.03 at BMW
  • 17 Sep 2026: Helix 2.5
Latest valuation (round, date)
US$39bn post-money (Series C, 16 Sep 2025) [42]
Flagship models/products
Figure 03, Helix 02, Helix 2.5 [42]
Key backers
Parkway Venture Capital, Brookfield, NVIDIA, Intel Capital [42]
37

Crusoe

Best for: Gigawatt-scale AI campuses and managed inference

Crusoe develops power and data-centre campuses (which it calls AI factories) and runs Crusoe Cloud on them. On 17 September 2026 it announced the initial closing of a US$3.9 billion Series F at a US$30.9 billion post-money valuation, co-led by Atreides Management, Mubadala Capital and Valor Equity Partners, with Founders Fund, GIC and NVIDIA participating. The company reports more than US$140 billion of total contracted value, more than 6 GW of gross contracted capacity with 1 GW delivered and operational, and more than US$100 million in ARR for its Crusoe Managed Inference service. It has no company-wide revenue figure on its own pages, so it is ranked by valuation. The release is datelined Denver. Building at this scale requires very large debt financing and long-term power contracts.

Products

  • Crusoe Cloud
  • Crusoe Managed Inference
  • Crusoe Spark modular AI factories

Recent milestones

  • 17 Sep 2026: US$3.9bn Series F
  • 21 Oct 2026: Crusoe Spark Liquid introduced
  • 22 Oct 2026: US$700m power-infrastructure facility
Latest valuation (round, date)
US$30.9bn post-money (Series F, 17 Sep 2026) [43]
Contracted capacity
More than 6 GW gross; 1 GW operational [43]
Key backers
Atreides, Mubadala Capital, Valor, Founders Fund, NVIDIA [43]
38

Scale AI

Best for: Human-generated training data, evaluation and government AI programmes

Scale AI supplies labelled and expert-generated data for training and evaluating AI models, and builds AI applications for governments. On 12 June 2025 it announced a significant new investment from Meta Platforms that values the company at more than US$29 billion; founder Alexandr Wang joined Meta to work on its AI efforts while remaining on Scale's board, and chief strategy officer Jason Droege became interim chief executive. Recent company posts cover AI-literacy programmes and evaluation benchmarks such as a legal-reasoning benchmark with Singapore's IMDA. Scale has not published revenue. Meta's stake creates a commercial risk with other model developers that may not want a competitor-linked supplier handling their data.

Products

  • Data Engine (training data)
  • Model evaluation
  • Public-sector AI programmes

Recent milestones

  • 12 Jun 2025: Meta investment; Alexandr Wang joins Meta
Latest valuation (round, date)
More than US$29bn (Meta investment, 12 Jun 2025) [44]
Key backers
Meta Platforms [44]
Leadership
Jason Droege, interim CEO from Jun 2025 [44]
39

Mistral AI

Best for: European organisations wanting sovereign or self-hosted models

Mistral AI develops open-weight models (whose trained parameters are published for others to run) alongside commercial models and a compute service. On 8 September 2026 it raised €3 billion in a Series D at a post-money valuation of more than €21 billion, which it called the largest equity round completed by a European technology company; Samsung Electronics led, with the EQT-managed Scaleup Europe Fund and PSG Equity as co-leads. At the ECB reference rate for that day, €21 billion equals about US$24.4 billion. Its previous round, €1.7 billion in September 2025, was led by ASML. The company operates in 20 countries and has announced partnerships with NVIDIA in March and October 2026 and an in-region inference and compute offering in August 2026. Mistral has disclosed no revenue and competes against labs with far larger compute budgets.

Products

  • Open-weight language models
  • Commercial models
  • Mistral Compute (announced Jun 2025)

Recent milestones

  • 9 Sep 2025: €1.7bn round led by ASML
  • 16 Mar 2026: NVIDIA partnership
  • 23 May 2026: Emmi joins
  • 8 Sep 2026: €3bn Series D
Latest valuation (round, date)
More than €21bn post-money (Series D, 8 Sep 2026) [45]
Key backers
Samsung Electronics, EQT Scaleup Europe Fund, PSG Equity, ASML [45]
Flagship models/products
Open-weight and commercial models, Mistral Compute
40

Mercor

Best for: Expert human data for post-training and evaluation

Mercor recruits domain experts, such as lawyers, doctors and engineers, to produce training data and evaluations for AI developers, and is expanding into evaluation and enterprise agent infrastructure. On 10 November 2026 it announced a US$750 million Series D at a US$20 billion valuation, with participation from Benchmark, Felicis, NVIDIA, Salesforce and General Catalyst; the company says it spends three times as much on inference as on employee salaries. Its earlier Series C valued it at US$10 billion. The company lists San Francisco in its site footer and has opened offices in New York and London. Mercor has not published revenue. Its business depends on a small number of model developers whose data needs can change quickly.

Products

  • Expert human-data marketplace
  • AI evaluation services
  • Enterprise agent infrastructure

Recent milestones

  • 10 Nov 2026: US$750m Series D at US$20bn
Latest valuation (round, date)
US$20bn (Series D, 10 Nov 2026) [46]
Headquarters
San Francisco, California, US [46]
Key backers
Benchmark, Felicis, NVIDIA, Salesforce, General Catalyst [46]
41

Harvey

Best for: Legal research, drafting and document review

Harvey builds AI tools for legal work, including research, drafting, due diligence and workflow agents, sold on enterprise subscriptions to law firms and in-house legal departments. On 9 September 2026 it announced a US$550 million round at a US$15.5 billion valuation, co-led by Diffusion and Lightspeed Venture Partners. The company states that 80% of Am Law 100 firms use Harvey and that five of the Fortune 10 are in-house clients, and it planned offices in Tokyo and Boston. In November 2026 it added Danish legislation through a partnership with Djøf Forlag. Harvey has not published revenue. Its main risks are professional liability for incorrect outputs and competition from legal publishers that own primary-law databases.

Products

  • Legal research and drafting assistant
  • Document review
  • Legal workflow agents

Recent milestones

  • 9 Sep 2026: US$550m at US$15.5bn
  • 11 Nov 2026: Djøf Forlag partnership
Latest valuation (round, date)
US$15.5bn (US$550m round, 9 Sep 2026) [47]
Key backers
Diffusion, Lightspeed Venture Partners [47]
Customers
80% of Am Law 100 firms [47]
42

Applied Intuition

Best for: Automotive, trucking and defence autonomy software

Applied Intuition sells simulation, vehicle operating-system and autonomy software to car manufacturers, trucking fleets, mining and construction operators and defence organisations. On 17 June 2025 it announced a Series F, led by BlackRock and Kleiner Perkins with Fidelity Management & Research and Lux Capital, that valued it at US$15 billion, more than double its valuation a little over a year earlier. In 2026 it announced selection by the US Department of War for an enterprise autonomy pipeline (14 May), the launch of Dana, an agentic platform (21 July), and selection by the US Navy for field AI perception (22 October). The company has not disclosed revenue or the size of its Series F. Defence work subjects it to procurement timing and export rules.

Products

  • Vehicle simulation and validation tools
  • Autonomy stacks for defence and industry
  • Dana agentic platform

Recent milestones

  • 17 Jun 2025: Series F at US$15bn
  • 14 May 2026: Department of War selection
  • 21 Jul 2026: Dana launched
  • 22 Oct 2026: US Navy selection
Latest valuation (round, date)
US$15bn (Series F, 17 Jun 2025) [48]
Key backers
BlackRock, Kleiner Perkins, Fidelity, Lux Capital [48]
43

Replit

Best for: Building and hosting applications from prompts in the browser

Replit offers a cloud development environment in which its Agent writes, runs and deploys applications from natural-language instructions. In March 2026 it raised US$400 million in a Series D at a US$9 billion valuation, led by Georgian with Andreessen Horowitz, Coatue and the Qatar Investment Authority, up from US$3 billion about six months earlier. The company, based in Foster City, California, reports millions of users and more than 500,000 professional users; it did not disclose revenue but said it was on track for US$1 billion in ARR by the end of 2026. Because that is a target rather than a reported figure, Replit is ranked by valuation. It shares the margin exposure of other app builders that pay third-party model providers for each request.

Products

  • Replit Agent
  • Cloud IDE
  • Hosting and deployment

Recent milestones

  • Sep 2025: US$250m Series C at US$3bn
  • Mar 2026: US$400m Series D at US$9bn
Latest valuation (round, date)
US$9bn (Series D, Mar 2026) [49]
Headquarters
Foster City, California, US [49]
Key backers
Georgian, Andreessen Horowitz, Coatue, QIA [49]
44

Cohere

Best for: Private, on-premises model deployments for regulated organisations

Cohere develops language and retrieval models for enterprises and governments, emphasising private deployment in customers' own clouds or data centres. Its most recent priced round on its own site is US$500 million at a US$6.8 billion valuation, announced on 14 August 2025. In 2026 it signed an agreement with Germany's Aleph Alpha (16 September), signed a letter of intent to acquire AISLE for cyber-resilient sovereign AI (15 October) and advanced a C$4 billion commitment to Canadian AI capacity and workforce expansion (30 October). Cohere has not published revenue on its newsroom. Its focus on sovereign deployments narrows its market to buyers that will pay for control over data and infrastructure.

Products

  • Enterprise language models
  • Retrieval models
  • Enterprise agent platform

Recent milestones

  • 14 Aug 2025: US$500m at US$6.8bn
  • 16 Sep 2026: Aleph Alpha agreement
  • 15 Oct 2026: AISLE letter of intent
  • 30 Oct 2026: C$4bn Canada commitment
Latest valuation (round, date)
US$6.8bn (US$500m round, 14 Aug 2025) [50]
Flagship models/products
Enterprise and sovereign language models
45

Suno

Best for: Generating songs from text prompts

Suno develops models and an app that generate songs, including vocals, from text prompts. On 3 June 2026 it announced more than US$400 million in Series D funding at a US$5.4 billion post-money valuation, led by Bond Capital with IVP, Forerunner, Union Square Ventures and others. Its blog lists a partnership with Warner Music Group (25 November 2025), a global partnership with BMG (12 August 2026) and one with Believe and TuneCore (8 September 2026), as well as the acquisition of WavTool in June 2025. Suno has not disclosed revenue. Licensing terms with rights holders determine both its cost base and which music its models can learn from.

Products

  • Suno song-generation app and models
  • WavTool browser audio workstation

Recent milestones

  • 30 Jun 2025: WavTool acquired
  • 25 Nov 2025: Warner Music Group partnership
  • 3 Jun 2026: Series D
  • 12 Aug 2026: BMG partnership
Latest valuation (round, date)
US$5.4bn post-money (Series D, 3 Jun 2026) [51]
Key backers
Bond Capital, IVP, Lightspeed, Menlo Ventures [51]
46

Decagon

Best for: Customer-support automation for consumer and fintech brands

Decagon builds AI agents that handle customer-support conversations across chat, email and voice. On 27 January 2026 it announced a US$250 million Series D at a US$4.5 billion valuation, roughly triple its valuation six months earlier, led by new investors Coatue Management and Index Ventures. Returning investors include Andreessen Horowitz, Accel, Bain Capital Ventures and Ribbit Capital. The company reported more than 100 new enterprise customers in its past fiscal year, naming Avis Budget Group, Block and Deutsche Telekom, along with Oura Health, Affirm and Chime. Decagon competes directly with Sierra and with established customer-service software vendors, and has not disclosed revenue.

Products

  • AI customer-support agents (chat, email, voice)

Recent milestones

  • 27 Jan 2026: US$250m Series D
Latest valuation (round, date)
US$4.5bn (Series D, 27 Jan 2026) [52]
Key backers
Coatue, Index Ventures, Andreessen Horowitz, Accel [52]
47

Synthesia

Best for: Producing training and internal videos with AI avatars

Synthesia lets companies produce videos with AI-generated presenters (avatars) and voices from a script, and is used mainly for training and internal communications. On 26 January 2026 it raised US$200 million in a Series E at a US$4 billion valuation, led by GV (Google Ventures) with Evantic and Hedosophia. The company, headquartered in London, says it is used by more than 90% of the Fortune 100 and has more than 2 million users. Synthesia has not disclosed revenue. Its use of digital likenesses of real people requires consent and moderation controls, which limit what customers can produce. General-purpose video models from large labs are a competitive threat to its avatar-based product.

Products

  • AI avatar video creation
  • Video localisation and translation

Recent milestones

  • 26 Jan 2026: US$200m Series E
Latest valuation (round, date)
US$4bn (Series E, 26 Jan 2026) [53]
Headquarters
London, UK [53]
Key backers
GV, Evantic, Hedosophia [53]
48

Hippocratic AI

Best for: Health systems automating patient outreach and follow-up

Hippocratic AI builds AI agents for patient-facing healthcare tasks such as pre-operative calls, follow-up and chronic-care check-ins, limited to non-diagnostic work. On 3 November 2025 it announced a US$126 million Series C at a US$3.5 billion valuation, led by Avenir Growth. That followed a US$141 million Series B led by Kleiner Perkins at a US$1.64 billion valuation on 9 January 2025, and a US$17 million investment from NVIDIA's NVentures in September 2024. Its investors therefore include both NVIDIA's venture arm and the two firms that led successive rounds, Kleiner Perkins and Avenir Growth. The company has not disclosed revenue. Clinical-safety validation and health-system procurement cycles slow its deployments.

Products

  • Patient-facing healthcare AI agents
  • Agent app store for clinicians

Recent milestones

  • 9 Jan 2025: Series B at US$1.64bn
  • 3 Nov 2025: Series C at US$3.5bn
Latest valuation (round, date)
US$3.5bn (Series C, 3 Nov 2025) [54]
Key backers
Avenir Growth, Kleiner Perkins, NVentures [54]
49

Together AI

Best for: Developers serving open-weight models through an API

Together AI operates a cloud for inference, fine-tuning and training of open-source models, sold through an API and dedicated GPU clusters. On 20 February 2025 it announced a US$305 million Series B led by General Catalyst and co-led by Prosperity7, at a valuation of US$3.3 billion. In October 2026 it expanded its enterprise inference capacity with a dedicated B300 cluster with IBM Cloud and NVIDIA, and it has partnered with Y Combinator on a GPU cluster for YC companies. Together has not published revenue. Its valuation is the oldest in this tier, and it competes on price with hyperscalers and with model developers that host their own open models.

Products

  • Inference API for open models
  • Fine-tuning
  • GPU clusters

Recent milestones

  • 20 Feb 2025: US$305m Series B
  • 6 Oct 2026: IBM Cloud and NVIDIA inference capacity
Latest valuation (round, date)
US$3.3bn (Series B, 20 Feb 2025) [55]
Key backers
General Catalyst, Prosperity7 [55]
50

Sakana AI

Best for: Japanese enterprises and financial institutions

Sakana AI is a Tokyo-based research company developing AI models using methods inspired by natural evolution and collective intelligence, with a commercial focus on Japanese enterprises, finance and government. On 17 November 2025 it announced a Series B of about ¥32 billion at a post-money valuation of about ¥432 billion, with investors including MUFG, Khosla Ventures, Factorial, Macquarie Capital, Mitsubishi Electric, Google and In-Q-Tel. At the ECB cross rate for that day, ¥432 billion equals about US$2.8 billion. In early 2026 it announced a partnership with Google (23 January) and strategic investments from Salesforce Ventures (19 February) and Citi (24 February). Sakana has not published revenue, and its scale is small compared with US and Chinese labs.

Products

  • Research models and AI agents
  • Enterprise AI for finance and government

Recent milestones

  • 17 Nov 2025: Series B
  • 23 Jan 2026: Google partnership
  • 24 Feb 2026: Citi strategic investment
Latest valuation (round, date)
About ¥432bn post-money (Series B, 17 Nov 2025) [56]
Headquarters
Tokyo, Japan [56]
Key backers
MUFG, Khosla Ventures, Google, Citi, Salesforce Ventures [56]

Full ranking table

Tier A (ranks 1–35) is ordered by the latest revenue figure each company has published; Tier B (ranks 36–50) by the latest valuation announced by the company. Non-US-dollar figures are converted at European Central Bank reference cross rates.

RankCompanyHQ countryLayerTierRanking figureBasis and date
1NVIDIAUnited StatesChips and computeRevenue / run-rateUS$215.9bnRevenue, FY ended 25 Jan 2026
2AnthropicUnited StatesFoundation-model labsRevenue / run-rateAbout US$81bnRun-rate revenue, 31 Oct 2026
3OpenAIUnited StatesFoundation-model labsRevenue / run-rateMore than US$20bnRevenue for 2025, as stated by the CFO (Jan 2026)
4DatabricksUnited StatesData and toolingRevenue / run-rateMore than US$7bnRevenue run-rate, Aug 2026
5CoreWeaveUnited StatesCloud and infrastructureRevenue / run-rateUS$5.13bnRevenue, FY2025
6Palantir TechnologiesUnited StatesApplications and agentsRevenue / run-rateUS$4.48bnRevenue, FY2025
7xAI (SpaceX AI segment)United StatesFoundation-model labsRevenue / run-rateUS$3.20bnAI segment revenue, FY2025
8UiPathUnited StatesApplications and agentsRevenue / run-rateUS$1.61bnRevenue, FY ended 31 Jan 2026
9Tempus AIUnited StatesApplications and agentsRevenue / run-rateUS$1.27bnRevenue, FY2025
10UpstartUnited StatesApplications and agentsRevenue / run-rateUS$1.04bnRevenue, FY2025
11CognitionUnited StatesApplications and agentsRevenue / run-rateMore than US$1bnAnnualised revenue run-rate, Sep 2026
12SenseTimeChinaFoundation-model labsRevenue / run-rateUS$716m (RMB5.01bn)Revenue, FY2025
13Nebius GroupNetherlandsCloud and infrastructureRevenue / run-rateUS$530mRevenue, FY2025
14Cerebras SystemsUnited StatesChips and computeRevenue / run-rateUS$510mRevenue, FY2025
15ElevenLabsNot stated in sourcesApplications and agentsRevenue / run-rateMore than US$500mARR, first four months of 2026
16SierraNot stated in sourcesApplications and agentsRevenue / run-rateMore than US$400mARR, Oct 2026
17GleanNot stated in sourcesApplications and agentsRevenue / run-rateMore than US$300mARR, May 2026
18InnodataUnited StatesData and toolingRevenue / run-rateUS$252mRevenue, FY2025
19C3.aiUnited StatesApplications and agentsRevenue / run-rateUS$250mRevenue, FY ended 30 Apr 2026
20HeartflowUnited StatesApplications and agentsRevenue / run-rateUS$176mRevenue, FY2025
21SoundHound AIUnited StatesApplications and agentsRevenue / run-rateUS$169mRevenue, FY2025
22BigBear.aiUnited StatesApplications and agentsRevenue / run-rateUS$128mRevenue, FY2025
23Zhipu AI (Knowledge Atlas Technology)ChinaFoundation-model labsRevenue / run-rateUS$103m (RMB724m)Revenue, FY2025
24Skild AINot stated in sourcesFoundation-model labsRevenue / run-rateMore than US$100mARR, Sep 2026
25LovableSwedenApplications and agentsRevenue / run-rateUS$100mARR, Jul 2025 (latest company-stated)
26WeRideChinaApplications and agentsRevenue / run-rateUS$98m (RMB685m)Revenue, FY2025
27VeritoneUnited StatesData and toolingRevenue / run-rateUS$92mRevenue, FY2025
28Pony AIChinaApplications and agentsRevenue / run-rateUS$90mRevenue, FY2025
29WhiteFiberUnited StatesCloud and infrastructureRevenue / run-rateUS$79mRevenue, FY2025
30MiniMaxChinaFoundation-model labsRevenue / run-rateUS$79mRevenue, FY2025
31Recursion PharmaceuticalsUnited StatesApplications and agentsRevenue / run-rateUS$75mRevenue, FY2025
32Rezolve AIUnited KingdomApplications and agentsRevenue / run-rateUS$47mRevenue, FY2025
33NscaleUnited KingdomCloud and infrastructureRevenue / run-rateUS$33mRevenue, FY2025
34Kodiak AIUnited StatesApplications and agentsRevenue / run-rateUS$3.8mRevenue, FY2025
35Aurora InnovationUnited StatesApplications and agentsRevenue / run-rateUS$3.0mRevenue, FY2025
36Figure AINot stated in sourcesFoundation-model labsValuationUS$39bnPost-money valuation, Series C, Sep 2025
37CrusoeUnited StatesCloud and infrastructureValuationUS$30.9bnPost-money valuation, Series F, Sep 2026
38Scale AIUnited StatesData and toolingValuationMore than US$29bnValuation implied by Meta investment, Jun 2025
39Mistral AIFranceFoundation-model labsValuationAbout US$24.4bn (more than €21bn)Post-money valuation, Series D, Sep 2026
40MercorUnited StatesData and toolingValuationUS$20bnValuation, Series D, Nov 2026
41HarveyNot stated in sourcesApplications and agentsValuationUS$15.5bnValuation, Sep 2026
42Applied IntuitionNot stated in sourcesApplications and agentsValuationUS$15bnValuation, Series F, Jun 2025
43ReplitUnited StatesApplications and agentsValuationUS$9bnValuation, Series D, Mar 2026
44CohereCanadaFoundation-model labsValuationUS$6.8bnValuation, Aug 2025
45SunoNot stated in sourcesApplications and agentsValuationUS$5.4bnPost-money valuation, Series D, Jun 2026
46DecagonNot stated in sourcesApplications and agentsValuationUS$4.5bnValuation, Series D, Jan 2026
47SynthesiaUnited KingdomApplications and agentsValuationUS$4bnValuation, Series E, Jan 2026
48Hippocratic AINot stated in sourcesApplications and agentsValuationUS$3.5bnValuation, Series C, Nov 2025
49Together AINot stated in sourcesCloud and infrastructureValuationUS$3.3bnValuation, Series B, Feb 2025
50Sakana AIJapanFoundation-model labsValuationAbout US$2.8bn (¥432bn)Post-money valuation, Series B, Nov 2025

By layer

Each company is assigned to the layer that produces most of its revenue or, for pre-revenue companies, its main product. Several span more than one layer: xAI operates its own training clusters, and Databricks hosts models as well as data.

LayerCompaniesMembers (by rank)
Chips and compute2NVIDIA, Cerebras Systems
Cloud and infrastructure6CoreWeave, Nebius Group, WhiteFiber, Nscale, Crusoe, Together AI
Foundation-model labs11Anthropic, OpenAI, xAI (SpaceX AI segment), SenseTime, Zhipu AI (Knowledge Atlas Technology), Skild AI, MiniMax, Figure AI, Mistral AI, Cohere, Sakana AI
Data and tooling5Databricks, Innodata, Veritone, Scale AI, Mercor
Applications and agents26Palantir Technologies, UiPath, Tempus AI, Upstart, Cognition, ElevenLabs, Sierra, Glean, C3.ai, Heartflow, SoundHound AI, BigBear.ai, Lovable, WeRide, Pony AI, Recursion Pharmaceuticals, Rezolve AI, Kodiak AI, Aurora Innovation, Harvey, Applied Intuition, Replit, Suno, Decagon, Synthesia, Hippocratic AI

By country

Country is the headquarters country stated in filings and announcements where available. Companies marked "Not stated in sources" are those for which no headquarters appeared in the documents consulted.

CountryCompaniesMembers
United States26NVIDIA, Anthropic, OpenAI, Databricks, CoreWeave, Palantir Technologies, xAI (SpaceX AI segment), UiPath, Tempus AI, Upstart, Cognition, Cerebras Systems, Innodata, C3.ai, Heartflow, SoundHound AI, BigBear.ai, Veritone, WhiteFiber, Recursion Pharmaceuticals, Kodiak AI, Aurora Innovation, Crusoe, Scale AI, Mercor, Replit
China5SenseTime, Zhipu AI (Knowledge Atlas Technology), WeRide, Pony AI, MiniMax
United Kingdom3Rezolve AI, Nscale, Synthesia
Netherlands1Nebius Group
Sweden1Lovable
France1Mistral AI
Canada1Cohere
Japan1Sakana AI
Not stated in sources11ElevenLabs, Sierra, Glean, Skild AI, Figure AI, Harvey, Applied Intuition, Suno, Decagon, Hippocratic AI, Together AI

Notable developments in 2026

  • 2 February 2026: SpaceX's acquisition of xAI becomes effective; xAI's Grok and X form SpaceX's AI segment.
  • January 2026: Cerebras announces a multi-year OpenAI agreement valued at more than US$20 billion for 750 MW of inference capacity.
  • 14 January 2026: Skild AI raises US$1.4 billion at more than US$14 billion.
  • 4 February 2026: ElevenLabs raises US$500 million at US$11 billion; on 30 September a tender values it at US$22 billion.
  • 25 February 2026: NVIDIA reports fiscal 2026 revenue of US$215.9 billion.
  • 9 March 2026: Nscale raises US$2 billion at US$14.6 billion; it files to list on the NYSE on 18 September.
  • March 2026: Zhipu (31 March) and SenseTime (24 March) publish 2025 results in Hong Kong.
  • April–May 2026: Cerebras files its S-1 and amendments for a Nasdaq listing as CBRS; SpaceX files to list as SPCX.
  • 27 May 2026: Cognition raises over US$1 billion at US$26 billion, then over US$2 billion at US$48 billion on 8 September.
  • 27 July 2026: The EU AI Omnibus enters into force, moving deadlines for high-risk systems; most of the AI Act applies from 2 August 2026.
  • 13 August 2026: Databricks raises US$5 billion at US$190 billion.
  • 14 August 2026: SpaceX completes the acquisition of Cursor.
  • 8 September 2026: Mistral AI raises €3 billion at more than €21 billion.
  • 28 September 2026: World Labs signs a definitive agreement to join AMD.
  • 26 October 2026: Anthropic files its S-1; on 10 November it launches the roadshow at US$70–78 per share.
  • 10 November 2026: Mercor raises US$750 million at US$20 billion.

What to watch in 2027

The items below have been announced by the companies or regulators concerned; none is a forecast by this list.

  • Anthropic and Nscale listings. Anthropic's offering of 825 million Class A shares on Nasdaq and Nscale's planned NYSE listing were pending at the time of review.
  • NVIDIA Rubin. NVIDIA expects Rubin production shipments in the second half of fiscal 2027, which ends in January 2027.
  • Microsoft capacity in Portugal. Nscale's deployment of more than 66,000 Vera Rubin NVL72 GPUs is scheduled to begin in late 2027.
  • EU AI Act. A new prohibition on nudification apps and child sexual abuse material takes effect in December 2026; obligations for high-risk Annex III systems apply from 2 December 2027 and for Annex I product-embedded systems from 2 August 2028.
  • Pending acquisitions. World Labs' move to AMD is expected to close by the end of 2026 subject to approvals; Cohere's acquisition of AISLE was at letter-of-intent stage in October 2026; Nscale agreed to acquire Anyscale on 28 July 2026.

Frequently asked questions

Which AI company has the highest revenue?

NVIDIA, with revenue of US$215.9 billion for the fiscal year ended 25 January 2026, of which US$193.7 billion came from data-center products. Among model developers, Anthropic reported a run-rate of about US$81 billion at 31 October 2026 and 2025 revenue of US$4.6 billion; OpenAI's CFO said 2025 revenue exceeded US$20 billion.

What are the largest AI startups by valuation?

Among private companies with valuations announced in 2025–2026, Databricks leads at US$190 billion (August 2026), followed by Cognition at US$48 billion, Figure AI at US$39 billion, Crusoe at US$30.9 billion, Scale AI at more than US$29 billion, Mistral AI at more than €21 billion and ElevenLabs at US$22 billion. Anthropic was in the process of listing on Nasdaq in November 2026.

Is Anthropic or OpenAI bigger?

On the latest figures each has published, Anthropic reported a run-rate of about US$81 billion at 31 October 2026 in its SEC filing, while OpenAI's most recent company-stated figure is revenue above US$20 billion for 2025. The figures cover different periods and OpenAI publishes no audited accounts, so the comparison is approximate.

What are the top AI companies in Europe?

In this ranking the European companies are Nebius Group (Netherlands, US$530 million revenue in 2025), Lovable (Sweden, US$100 million ARR and a US$13.3 billion valuation), Rezolve AI and Nscale (United Kingdom), Synthesia (United Kingdom, US$4 billion valuation) and Mistral AI (France, valued at more than €21 billion in September 2026).

What are the top AI companies in China?

Five Chinese companies qualify on published figures: SenseTime (RMB5.01 billion revenue in 2025), Zhipu (RMB724.3 million), WeRide (RMB684.6 million), Pony AI (US$90.0 million) and MiniMax (US$79.0 million in 2025, rising to US$116.6 million in the first half of 2026). DeepSeek publishes no revenue and is not ranked.

Is NVIDIA an AI company?

For this ranking, yes. NVIDIA sells chips and systems used across computing, but its Data Center segment, which sells mainly AI training and inference platforms, produced US$193.7 billion of its US$215.9 billion fiscal 2026 revenue. Hyperscalers such as Microsoft and Alphabet are excluded because AI is not reported as their core business.

What happened to xAI?

xAI, the developer of Grok, was acquired by SpaceX effective 2 February 2026. SpaceX reports it within an AI segment that also includes the X social network and AI compute; that segment had revenue of US$3.20 billion and an operating loss of US$6.36 billion in 2025. SpaceX also acquired the coding editor Cursor in August 2026.

Which AI companies are publicly traded?

Listed companies in this ranking include NVIDIA, CoreWeave, Palantir, UiPath, Tempus AI, Upstart, Nebius, C3.ai, SoundHound AI, BigBear.ai, Innodata, Heartflow, Veritone, WhiteFiber, Recursion, Rezolve AI, Aurora, Kodiak AI, WeRide and Pony AI in the US, and SenseTime, Zhipu and MiniMax in Hong Kong. Cerebras and SpaceX have filed for US listings and Anthropic began its IPO roadshow in November 2026.

See also

Categories: AI Tools All lists

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