Document Intelligence Platform
Turn your documents into structured intelligence. SILKLEARN reads across PDFs, docs, Notion pages, and code repos — extracts the knowledge, maps the relationships, and gives you a graph you can query, explore, and project.
What document intelligence means.
Document intelligence isn't about scanning or OCR. It's about making the knowledge inside your documents computable. Not searchable — computable.
Search finds documents. Document intelligence finds answers — structured, source-grounded, contradiction-aware. It reads across everything you have and builds a graph of how it all connects. Every claim traces to its source. Every relationship surfaces automatically. Every contradiction gets flagged.
This is the difference between a search engine and a knowledge platform.
What it does.
Ingest anything
PDF, DOCX, Markdown, Notion, Confluence, web links, code repos. Drop them in as-is.
Extract knowledge
Every document becomes a graph of claims — not chunks, not summaries. Structured knowledge units with provenance.
Surface connections
Dependencies, contradictions, relationships — surfaced automatically across all your sources.
Project however you need
Query for answers. Export paths. Feed context to AI. Share with your team. The graph is yours.
Onboarding
New engineers get a knowledge graph of your architecture docs, runbooks, and decision records. They explore instead of guess.
Research
Upload papers and reports. SILKLEARN surfaces dependencies and contradictions across sources — before you build on the wrong finding.
AI Context
Feed structured, source-grounded knowledge from your graph to any AI agent via MCP. No retrieval guesses. Just clean context.
Your documents. Structured. Queryable.
SILKLEARN turns passive files into active intelligence. Drop in your sources and start exploring.