Extract. Understand.
Act — with proof.
IntelliMento turns documents into structured data, connects the facts into a knowledge graph, answers in plain language with citations, and lets agents act on the result. One platform, every step traceable to the source.
Any document → structured data
Deterministic pre-processing plus LLMs turn PDFs, scans and Office files into typed fields — and the system gets more accurate as people correct it.
Define fields per project; get typed values with a confidence score on every one.
Only the relevant pages reach the model — keyword, embedding, classification and history signals cut tokens.
Scanned pages are OCR’d; Word and other formats are converted and parsed automatically.
Every accept/reject/correction feeds back; a deterministic tier learns to resolve fields without the LLM.
Low-confidence values are routed to human review instead of being trusted blindly.
Batch upload and a high-throughput pipeline — proven on a 20,000-document corpus.
Answers you can prove
Retrieval-augmented generation that always attributes to source passages — or says it doesn’t know. Hybrid retrieval and a knowledge graph back it.
Every answer carries citations (document · page · quote) and returns “not in your documents” rather than guessing.
Semantic + lexical + graph ranking over your corpus, scoped to the projects you choose.
Extracted entities and relationships, queryable and used to disambiguate extraction across documents.
Generated content is decomposed into claims, each scored for how well the sources support it.
Agents that do the work
The Tehnolog agent researches, drafts processes, and estimates — and any capability is callable as a tool by your own agents.
Process maps drawn automatically from extracted operations — editable, savable, explorable.
Ask in any language; it grounds in your documents + the knowledge graph and can synthesize a new process.
Turn a process into an hours/cost estimate in seconds, with a draft → approved → quote lifecycle.
Capabilities are agent-callable and composable — agent-to-agent and into flows.
A native MCP server + OAuth 2.0 so external apps and agents use your corpus as their brain.
Built for regulated data
Provenance, isolation and an audit trail on everything — the reason this is safe to put in front of regulated work.
Every mutation logged with entity diffs, user context and correlation IDs.
Each model ships a weight-free card: provenance, attestation and a bias/feature audit.
PostgreSQL row-level security plus application-level tenant scoping — defense in depth.
Designed for regulated industries; data residency and retention controls throughout.
See it on your own documents.
Upload a few files and ask a question — every answer comes back with its sources.
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