Sold by: Guru
Deployed on AWS
Guru is the governed knowledge layer for enterprise AI. When company knowledge is fragmented, outdated, or ungoverned, AI produces unreliable answers, creates compliance risk, and erodes trust. Guru solves this at the foundation - structuring and strengthening scattered knowledge, enforcing centralized policy and permissions across every AI consumer, and delivering cited, permission-aware answers to every person and AI system in your stack. Unlike platforms that connect and retrieve, Guru governs and improves: verification workflows and AI-driven maintenance keep knowledge accurate automatically, and every correction propagates instantly across every surface and MCP-connected tool. The result is a knowledge layer that gets more accurate the longer it runs, with full audit logs, lineage, and compliance controls built in.
Overview
Enterprise AI Is Only as Good as the Knowledge Behind It
When company knowledge is fragmented across dozens of tools, duplicated, outdated, or ungoverned, AI produces unreliable answers, creates compliance risk, and erodes trust. The problem isn't the model, it's the knowledge. And connecting more sources to a retrieval layer doesn't fix it. It just retrieves the same messy, conflicting content at scale.
Guru solves this at the foundation. Guru is the self-improving, governed knowledge layer that powers enterprise AI.
How Guru Works
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Structure & Strengthen
Knowledge Agents ingest content from 100+ enterprise sources, inheriting original access controls, and actively transform it. They deduplicate, reconcile conflicts, surface gaps, and create structured documentation where none existed. Knowledge gets stronger the moment it enters the system.
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Govern & Continuously Improve
Guru enforces centralized policy, permissions, citations, and audit trails across all knowledge and all AI consumers. Verification workflows, usage-based signals, and AI-driven maintenance surface what's stale, what's missing, and what needs expert review, handling up to 80-90% of verification automatically. When an expert corrects something once, that improvement becomes the new truth everywhere, instantly.
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Power Every AI & Human Workflow
Guru surfaces trusted knowledge wherever work happens: Slack, Teams, the browser, and the Guru web app. Through MCP, your AI tools and agents pull from the same governed knowledge layer without rebuilding RAG, permissions, or governance per tool. Guru is the layer underneath your existing stack, not a destination competing with it.
The Result
A knowledge layer that gets more accurate over time, not less, with full lineage, audit logs, and policy alignment across every answer it powers.
Proven Outcomes
- Improved knowledge trust scores from 60% to 100%
- Reduced manual verification time from six hours per week to under one hour
- Reduced support ticket volume by 48% through fully autonomous Knowledge Agent resolution
Built for Enterprise AI Programs
Guru is built for mid-market and enterprise organizations deploying AI at scale with the governance depth, auditability, and integration fit that IT, compliance, and security teams require:
- SOC 2 Type II
- HIPAA support
- GxP support
- DLP masking
- SSO/SAML
- SCIM
- Role-based access controls
- Data encryption at rest
- Data encryption in transit
Highlights
- Self-improving knowledge, not static retrieval. Guru's verification workflows and AI-driven maintenance keep knowledge accurate automatically. Experts correct once; updates propagate across every surface and every MCP-connected AI tool.
- Centralized governance for every AI consumer. One policy model enforces least-privilege permissions, citations, audit logs, and compliance controls across humans and AI systems - whether answers are delivered by Guru, Copilot, ChatGPT, or any agent in your stack.
- Enterprise-ready out of the box. SOC 2 Type II, HIPAA, SCIM, DLP masking, SSO (SAML), and 100+ source connectors. Inherit existing permissions at ingestion. No custom RAG pipeline or months-long build required.
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Guru Enterprise AI Platform | Guru is the governed knowledge layer for enterprise AI. When company knowledge is fragmented, outdated, or ungoverned, AI produces unreliable answers, creates compliance risk, and erodes trust. Guru solves this at the foundation - structuring and strengthening scattered knowledge, enforcing centralized policy and permissions across every AI consumer, and delivering cited, permission-aware answers to every person and AI system in your stack. Unlike platforms that connect and retrieve, Guru governs and improves: verification workflows and AI-driven maintenance keep knowledge accurate automatically, and every correction propagates instantly across every surface and MCP-connected tool. The result is a knowledge layer that gets more accurate the longer it runs - with full audit logs, lineage, and compliance controls built in. | $50,000,000.00 |
Dimensions summary
This listing has one pricing dimension, billed per user under a contract. You pay based on the number of people who access the governed knowledge platform. Pricing is not usage-based or split into instance sizes or add-ons. Instead, it scales with your user count over the committed term. Your contract includes platform access, knowledge governance, and delivery of cited, permission-aware answers to both people and connected AI systems. To set the right user count and term for your organization, you work with the vendor to scope the engagement.
Top-of-mind questions for buyers
A user is any person who accesses the governed knowledge platform. Each individual account counts as one user. AI systems that pull knowledge through MCP connections are not billed as users. Instead, they consume the same governed knowledge layer your people access, under the same permissions.
Your contract covers the knowledge platform plus a solution engineering team. That team helps design your knowledge architecture, configure AI agents, set up integrations, and run ongoing optimization reviews. You also get governance controls like centralized permissions, audit logs, and DLP masking. Your team keeps day-to-day control of the environment.
Cost scales with your user count, not with the number of connected tools. The platform connects to over 100 enterprise apps and delivers knowledge to AI tools through MCP. Adding these connections lets your existing AI tools pull from the same governed knowledge without rebuilding permissions per tool.
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Support
Vendor support
We have live support present inside our application or you can write an email to our support team at support@getguru.com
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