Context Engine
From raw documents to structured, auditable intelligence. Not another RAG wrapper.
Extract typed claims, entities, and relations from any source — with full provenance. Built for developers whose AI applications need to prove where answers come from.
Bad chunks? Wrong retrieval? Hallucination? You can't tell.
Your AI gave an answer. Can you prove where it came from?
Same company, 10 different strings. No resolution.
Facts expire. Contradictions pile up. Nothing versioned.
Unstructured text. No types. No scores. No way to verify.
Typed claims with confidence scores. Full provenance trace.
Every claim traces to its source. A write-time invariant — not optional.
Structured claims with confidence scores. Queryable without LLM inference.
Aliases merged. One canonical truth per real-world thing.
Sources update. Downstream packs marked stale. Full reproducibility.
EU AI Act enforcement begins August 2026
AI systems must demonstrate provenance and traceability. Fines up to €35M or 7% of revenue. Orumilos gives you the audit trail from day one.
The more you query, the more the model pays for itself.
Extract decisions, action items, and commitments. Every item links to the exact speaker turn.
Process technical docs, legal briefs, or reports. Query structured claims instead of re-reading.
Every AI output traces to its source. Provenance-ready for regulatory requirements like the EU AI Act.
Standard RAG stores raw text chunks and retrieves by similarity. Orumilos extracts typed, scored primitives — claims, entities, relations — and traces every one back to its source. You get structured intelligence, not a bag of text.
Every extracted fact links to the exact passage it came from — artifact, chunk, and character offsets. You can verify any claim against the original document. No black-box answers.
A structured briefing assembled from your extracted intelligence, with inline citations. Unlike RAG retrieval, every statement in a pack is backed by a typed, confidence-scored claim.
PDF, DOCX, TXT files and web pages via URL. Transcript formats with speaker turns. More connectors coming.
The kernel (V1) is complete. API, auth, async jobs, and production adapters are built. We're onboarding early teams in closed beta.
Start extracting structured, traceable intelligence from your documents.