KnowledgeOps Platform
AI accelerates knowledge creation, your experts stay in control through review and approval — and approved knowledge is published automatically for people, software and AI systems.
Not a chatbot. Not another RAG tool. A production system for the full lifecycle of expert knowledge.
Every AI-drafted change is a proposal. Nothing enters your knowledge base without expert approval.
People, software and AI agents all consume the same governed, versioned knowledge.
Every change is versioned and traceable. When knowledge is superseded, the old version stays on record.
The knowledge lifecycle
Upload documents, spreadsheets and notes — AI drafts structured, linked knowledge from them.
Every AI proposal is reviewed and approved by your domain experts before it becomes truth.
New information that contradicts the old updates it — version bumped, history kept, fully traceable.
Approved knowledge flows to your team, your systems and your AI agents — with grounded, cited answers.
Model-agnostic
Silkyware is not tied to any AI vendor. It runs on OpenAI and Anthropic models today, and support for open-weight models running on your own infrastructure is on the way — so sensitive knowledge never has to leave your environment. Switch models without losing your knowledge or rebuilding your workflows.
DevOps did it for code. MLOps did it for models.
KnowledgeOps does it for what your experts know.
Structured creation, review, approval, versioning and publication — the missing operational discipline for organizational knowledge.
Deployed end-to-end in the cloud with enterprise sign-in — not a slide deck.
Version history and audit trails on every change, built for organizations that answer to auditors.
Your knowledge stays yours, with per-organization access control.
Design partners
We are onboarding early design partners. Partners get early access, a direct line to the founders, and real influence over what gets built.