Guru
The Governed Knowledge Layer for Enterprise AI
By Guru Technologies, Inc. · HQ Philadelphia, US · 4.7/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprises that need one governed, permission-aware knowledge layer feeding every AI assistant and search tool
- Customer support, IT and HR teams answering the same questions at scale
- Organizations rolling out Microsoft Copilot, ChatGPT or Claude that need verified source content
- Compliance-heavy companies needing verification workflows, citations and audit trails on every answer
Ideal size: 51–1,000+ people · Mid-market to enterprise already running an AI or knowledge programme
Not for
- Small teams looking for a cheap, self-serve wiki
- Buyers who want published pricing and online checkout instead of a scoping call
- Teams unwilling to designate knowledge owners who verify and maintain content
- Companies that only need document storage rather than governance and verification
Value metrics scorecard
Time-to-Value
3–6 weeks with onboarding team
~30 days to first production value
Total Cost of Ownership
On request
Quote-based packages; no published list price. Packages bundle the AI knowledge platform, an AI/KM strategy team and enterprise governance.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
No per-seat tiers published; scoped by scale, knowledge complexity and AI maturity.
Add-on costs
- None
Company & support
Who is behind Guru, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Philadelphia, US
How you get support
We haven’t recorded support channels for Guru yet. Nothing here means unverified — not absent.
Market position
Where Guru sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Guru
- Wrike
- Jitterbit
- TalentLMS
- Docusign
- ManageEngine ServiceDesk Plus
Add or change companies
Up to 10 companies including Guru. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Guru ships in AI, and what it asks of your ecosystem.
AI features shipped
Knowledge Agents return cited, permission-aware answers; drafts are generated from Slack threads and updates propagated; governance gates non-compliant or unverified content, with DLP masking before storage or indexing.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Vendor's key
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Guru is an enterprise knowledge platform that structures, verifies and governs company content so people and AI tools get cited, permission-aware answers. It connects to 100+ systems including Slack, Teams, Salesforce and SharePoint, and serves that governed layer to ChatGPT, Claude, Copilot and Cursor through its own MCP server. Governance covers verification workflows, DLP masking, SSO/SCIM and centralized audit logs, with SOC 2 Type II and HIPAA via BAA. Pricing is quote-based packages that bundle the platform with an AI/KM strategy team.
Frequently asked questions
How is Guru priced?
Guru does not publish a list price. It sells quote-based packages that combine the AI knowledge platform, an AI & KM strategy team, and enterprise governance, scoped to your scale, knowledge complexity and AI maturity. Packages include knowledge architecture design, agent configuration and rollout support. Reduced pricing is available to eligible 501(c)(3) nonprofits through the Guru for Good programme.
What security and compliance standards does Guru meet?
Guru states it is audited annually for SOC 2 Type II, holds Microsoft 365 Certification and Google CASA certification for its Google Drive source, and is GDPR-ready with Data Privacy Framework participation. It will sign a Business Associate Agreement for HIPAA and has crosswalked standards to HECVAT and CAIQ. Data is encrypted in transit and at rest, with SSO, SCIM, IP whitelisting and DLP masking.
How does Guru connect to our existing stack?
Guru advertises 100+ out-of-the-box integrations including Slack, Microsoft Teams, Salesforce, Zendesk, Confluence, SharePoint, Google Drive, Jira and HubSpot, plus HRIS sync and SSO/SCIM providers. Guru's own MCP server lets ChatGPT, Claude, Microsoft Copilot and Cursor pull from the same governed knowledge layer, and Zapier, Workato, Prismatic and a public API cover anything not on the list.
Does Guru train AI models on our data?
No. Guru states on its pricing page that your data never trains its AI models, and its security page adds that content sent to third-party LLMs is removed after the output is returned under zero data retention, that only relevant document matches are submitted, and that the vendor does not use your content to train the LLM in any way.
Does Guru replace tools like Copilot or Glean?
Guru positions itself alongside them. Its stated difference is that other platforms retrieve data as-is, while Guru structures, verifies and continuously improves knowledge so corrections propagate everywhere and governance is centralized rather than configured per tool. Guru then powers existing AI tools through its MCP server instead of competing with them.
Do we need a dedicated knowledge team to run Guru?
Guru's package includes solution engineers who design the knowledge architecture, configure and tune AI agents, build the rollout playbook and run ongoing optimization reviews. The vendor says customers stay autonomous in day-to-day operations and that this expertise is a launchpad rather than an ongoing dependency, but someone internally still needs to own verification and content quality.