Guru Enterprise AI Knowledge Platform

As described on AWS Marketplace.

<p><strong>Enterprise AI Is Only as Good as the Knowledge Behind It</strong></p> <p>When company knowledge is fragmented across dozens of tools, duplicated, outdated, or ungoverned, AI produces unreliable answers, creates compliance risk, and erodes trust.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.</p> <p>Guru solves this at the foundation. Guru is the self-improving, governed knowledge layer that powers enterprise AI.</p> <p><strong>How Guru Works</strong></p> <ol> <li> <p><strong>Structure &amp; Strengthen</strong></p> <p>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.</p> </li> <li> <p><strong>Govern &amp; Continuously Improve</strong></p> <p>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.</p> </li> <li> <p><strong>Power Every AI &amp; Human Workflow</strong></p> <p>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.</p> </li> </ol> <p><strong>The Result</strong></p> <p>A knowledge layer that gets more accurate over time, not less, with full lineage, audit logs, and policy alignment across every answer it powers.</p> <p><strong>Proven Outcomes</strong></p> <ul> <li>Improved knowledge trust scores from 60% to 100%</li> <li>Reduced manual verification time from six hours per week to under one hour</li> <li>Reduced support ticket volume by 48% through fully autonomous Knowledge Agent resolution</li> </ul> <p><strong>Built for Enterprise AI Programs</strong></p> <p>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:</p> <ul> <li>SOC 2 Type II</li> <li>HIPAA support</li> <li>GxP support</li> <li>DLP masking</li> <li>SSO/SAML</li> <li>SCIM</li> <li>Role-based access controls</li> <li>Data encryption at rest</li> <li>Data encryption in transit</li> </ul>

Highlighted by the publisher on AWS Marketplace.

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.

As stated by the publisher on AWS Marketplace.

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