Guru

AI knowledge platform used by sales and support teams for verified answers

Overview

Guru is made by Guru Technologies, Inc., based at Independence Mall in Philadelphia, Pennsylvania. Its about page names Rick Nucci (co-founder and chief executive) and Mitch Stewart (co-founder and chief technology officer), and lists Firstmark, Thrive Capital, MSD Capital, Slack, Emergence and Accel as investors[9]. Guru announced a US$30 million Series C round led by Accel in April 2020[10].

Guru began as a verified-knowledge tool for support and sales teams and now positions itself as an AI knowledge layer that sits across other company systems. Its product page describes answers with citations, permission-aware AI that respects user roles, content that is automatically verified as usage grows and Knowledge Agents that can verify and unverify information. Answers can be delivered inside Slack. Shopify, SeatGeek, Lemonade and TravelPerk are named in case studies, and the company lists SOC 2 Type 2 and HIPAA readiness[8].

Guru no longer publishes prices. Its pricing page describes a tailored investment covering platform access, solution engineers, knowledge architecture design and optimisation reviews, with governance features including SSO, SCIM, role-based access, audit logs and DLP masking; no free trial is listed[7]. That makes it a fit for mid-sized and large organisations with a defined knowledge-management programme, and a poor fit for small teams wanting to start on a card.

Guru features

  • Permission-aware AI answers with citations
  • Automatic and agent-driven content verification
  • Answers delivered in Slack
  • 100+ integrations with MCP delivery
  • SSO, SCIM, audit logs and DLP masking
  • SOC 2 Type 2; HIPAA-ready
  • Knowledge Agents with cited answers
  • Verification workflows

Guru pricing

Quote-based. Packages include full platform access, solution engineers, knowledge architecture design and ongoing optimisation reviews. No free trial is listed. Reduced pricing for eligible 501(c)(3) non-profits through Guru for Good.

Guru strengths and limitations

Strengths

  • Strong verification model for keeping content accurate
  • Permission-aware AI reduces exposure of restricted content
  • Enterprise governance features listed as standard
  • Named customers in retail, travel and insurance
  • Strong verification and governance
  • Compliance for regulated industries

Limitations

  • No published prices or free trial
  • Sales-led onboarding unsuited to small teams
  • Value depends on connecting many source systems
  • Less suited to public help centres
  • Not a full sales enablement suite
  • No published prices

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