Solution
Enterprise knowledge
Make what your organisation already knows findable — with citations, respecting who is allowed to see what.

Organisational knowledge accumulates faster than it can be organised. Policies, procedures, past decisions, ticket history and tribal expertise end up spread across systems that do not talk to each other, and the practical index is whoever has been there longest.
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We build knowledge systems that answer questions from those sources with citations, so the answer can be verified rather than trusted. Retrieval quality is measured against a labelled question set, because retrieval — not the model — is where these systems usually fail.
Permissions follow the person asking. A knowledge assistant that surfaces documents the asker could not otherwise open is a data breach with a helpful tone of voice.
What you get
- Answers with verifiable sources
- Reduced dependence on a few individuals
- A visible backlog of missing documentation
What's included
Unified retrieval
Permission-aware answers
Cited responses
Knowledge agents
Gap reporting
Measured retrieval quality
Where this applies
- Experts constantly interrupted with questions already answered in writing
- Policies spread across years of documents and revisions
- Support agents searching several systems to answer one question
- Onboarding that takes months because nothing is findable
Technologies
- Pinecone
- Weaviate
- ChromaDB
- Milvus
- LangChain
- Hugging Face
- Python
Built from these AI capabilities
Ready to talk about Enterprise Knowledge?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853
