Sana
Enterprise AI knowledge assistant and agents

AI-powered enterprise knowledge that surfaces answers where you work.
Guru is a mature, well-regarded knowledge platform, and its verification model (owners plus expiration dates on cards) is a genuine strength for teams that struggle with stale docs. The main caution is cost structure: it is priced per seat with a 10-seat minimum on the self-serve plan, and because everyone who reads knowledge needs a license, the bill scales with your whole company rather than a handful of authors. Buyers should also note that the Enterprise tier moves to custom, usage-based pricing, so total cost is hard to estimate without a sales conversation.
Guru is an enterprise knowledge management platform that unifies a wiki, an intranet, and AI-powered search so employees can get verified, cited answers without leaving Slack, Teams, or their browser. Its standout feature is trust: knowledge cards have assigned owners and verification cycles, so the AI surfaces content that is meant to be current rather than outdated. It is best suited to mid-market and enterprise teams in support, sales, HR, and IT that need one authoritative source of truth, and it is priced per seat, which makes it powerful but potentially expensive at scale.
Guru positions itself as a single source of truth for internal knowledge, combining a wiki-style editor, an enterprise search layer, and an AI assistant that answers employee questions in natural language. Its differentiator is verification: cards of knowledge have designated owners and expiration dates, so answers surfaced by the AI are meant to be trustworthy rather than stale. Guru meets employees inside Slack, Microsoft Teams, and the browser, so people can get answers without leaving their workflow. The platform is most commonly adopted by support, sales, HR, and IT teams that field repetitive questions and need consistent, up-to-date documentation. Guru's AI search indexes both its own cards and connected third-party sources, then generates cited answers, which reduces the ramp for new hires and cuts down on interruptions to subject-matter experts. Guru is a paid, per-seat product, and because it is an internal read-and-search tool, every employee who needs access typically needs a license. That model makes it powerful for standardizing knowledge but means costs scale with headcount, which is the main consideration buyers weigh against lighter-weight wikis or general-purpose search.
Guru is an enterprise knowledge management platform that unifies a wiki, intranet, and AI-powered search. Its signature feature is verification: knowledge cards have owners and expiration cycles so AI answers stay trustworthy. It meets employees inside Slack, Teams, and the browser, and is aimed at mid-market and enterprise support, sales, HR, and IT teams. Pricing is per seat with a 10-seat self-serve minimum, so costs scale with headcount. Enterprise moves to custom usage-based pricing.
Guru is a Philadelphia-based software company founded in 2013 that builds a company-wide knowledge platform combining wiki, intranet, and enterprise AI search.
The company has raised roughly $70.7 million in disclosed funding across multiple rounds, most notably a $30 million Series C led by Accel in 2020. It remains a private, venture-backed company and serves a broad base of mid-market and enterprise customers.
At its core Guru offers verified knowledge cards, an AI assistant that answers questions in natural language with citations, and enterprise search across both native and connected sources. It surfaces knowledge where employees work through a browser extension and deep Slack and Microsoft Teams integrations.
Administrative features include content ownership, verification schedules, analytics on knowledge gaps and usage, and an API for custom workflows. The platform is designed for teams that need a single, current source of truth rather than scattered documents.
Mid-market and enterprise organizations, especially support, sales, HR, and IT teams that field repetitive questions and need consistent, up-to-date internal documentation.
Support agents, sales reps, HR staff, and IT/help-desk employees who search for and consume verified answers in their daily workflow.
Knowledge management leaders, heads of support or enablement, and IT decision-makers responsible for internal tooling budgets.
Subject-matter experts and content owners who author and verify knowledge, plus operations and enablement teams.
A mid-market or enterprise company with distributed teams, high volumes of repetitive internal questions, and a mandate to standardize and modernize internal knowledge.
Guru has raised approximately $70.7 million in disclosed funding, most recently a $30 million Series C led by Accel in 2020. No newer round has been publicly disclosed.
Yes. Guru offers a free tier for small teams, though the AI-heavy and administrative capabilities are concentrated in the paid plans, and the self-serve paid plan carries a 10-seat minimum.
Guru is priced per user. As of August 2026 the self-serve plan is roughly $25 per seat per month billed annually with a 10-seat minimum, and Enterprise pricing is custom and usage-based. Verify current figures with Guru.
Guru layers verification and AI search on top of wiki content: every knowledge card has an owner and a re-verification schedule, and its AI answers questions with citations, meeting employees inside Slack, Teams, and the browser.
Guru integrates with Slack, Microsoft Teams, Google Workspace, Salesforce, Zendesk, Confluence, and offers a Chrome extension, plus an API for custom connections.
Yes. Support is one of Guru's core use cases; agents can surface verified, cited answers directly inside their help desk to answer tickets faster and more consistently.
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