Guru

What is Guru?

Guru is an AI knowledge platform that merges three things companies usually buy separately: an internal wiki, enterprise search, and an intranet. It connects to 100+ enterprise sources — Slack, Microsoft Teams, Salesforce, Zendesk, Confluence, SharePoint, Google Drive, file systems — and builds a single retrieval index where each document keeps the access controls it had in its original system. Employees then ask questions wherever they already work: a Slack or Teams message, a Chrome or Edge extension overlaid on whatever app is open, or the Guru web app. Every AI answer carries enforced citations and an audit trail back to the source.

What separates Guru from a pure search layer is that it tries to improve the knowledge rather than just find it. Knowledge Agents verify and unverify content on schedules driven by usage signals, content age, and policy rules — Guru says this handles roughly 80–90% of verification automatically, escalating to human experts only when needed. The platform also detects gaps, drafts documentation from meetings and support tickets for subject-matter-expert approval, deduplicates conflicting content, and auto-archives stale material. A correction made once propagates everywhere, including out through Guru’s MCP server to external AI clients. Commercially, Guru changed shape in early 2026: through March its pricing page advertised a self-serve plan at $25 per seat per month billed annually ($30 monthly) with a ten-seat minimum and AI credits bundled into the seat. By mid-April both the prices and the free signup link were gone, replaced by a contact-sales “platform plus expertise” package that bundles solution engineers, knowledge-architecture design, and agent tuning alongside the software.

Who is it for?

Guru now targets mid-market and enterprise organizations that have knowledge scattered across many SaaS tools and need it governed, verified, and pushed into the places employees actually work. With the self-serve plan withdrawn there is no free tier, no public trial, and no way to sign up without talking to sales, so it is no longer a realistic option for small teams or individual evaluation. Its strongest fit is an organization that already tried a wiki, watched it rot, and wants maintenance automated rather than assigned to someone as a side duty.

• Customer support and success teams that need verified, cited answers surfaced inside Zendesk or Salesforce while an agent is on a live ticket.
• HR, IT, and operations teams looking to deflect repetitive internal questions by making existing policy and process documentation findable and provably current.
• Regulated organizations in healthcare, finance, and pharma that require permission inheritance, answer lineage, centralized audit logs, and SOC 2 Type II, HIPAA, or GxP alignment.
• Platform teams standardizing enterprise AI that want one governed knowledge layer feeding tools like Claude, Microsoft Copilot, and ChatGPT over MCP instead of rebuilding permissions per tool.
• Companies comparing enterprise AI search vendors who are already evaluating Glean and want a knowledge-maintenance angle rather than pure retrieval.