Knowledge Stack is the knowledge infrastructure developers use to build production-ready AI agents enterprises can trust Most agent stacks stop at embeddings and retrieval. They don’t track document versions, enforce permissions correctly, or explain where answers came from which makes them hard to deploy in real workflows. Knowledge Stack solves this by providing: End-to-end data lineage, sentence-, table-, figure-, and drawing-level traceability across PDFs, spreadsheets, audio/video, technical docs, and structured enterprise content — exposed through APIs developers can use directly. Every answer resolves back to exact document locations, even across multi-step reasoning pipelines and workflow execution. Version-aware knowledge retrieval - Agents operate on the *right version* of policies, specs, contracts, and SOPs and not just “latest embeddings.” Production-ready knowledge infrastructure - Built-in ingestion pipelines, RBAC enforcement, tenant isolation, and citation tracking so developers don’t have to build these layers from scratch. With 100+ industry-specific agent workflows spanning compliance validation, financial reconciliation, engineering audits, contract automation, and operations intelligence, Knowledge Stack lets teams move from prototype to **deployable agents in under 1 hour. You build the agent logic. Knowledge Stack runs the knowledge system behind it.
| Website | https://www.knowledgestack.ai |
| Employees | 4 (1 on RocketReach) |
| Founded | 2025 |
| Industry | Technology, Information and Internet |
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Frank Gu is the Founder of Knowledge Stack.
1 people are employed at Knowledge Stack.