One platform between your documents and your AI agents.
ENTUM sits where governance actually starts — at the document — and ends where it matters most: at the moment an AI agent touches your data.
Document chaos
ENTUM
- structure
- access
- agents
Insights
- growth
- reserves
- risk signals
01 · ingest
Any format in
Text, scans, PDFs, tables, images, media — ENTUM accepts documents the way your company actually stores them. No requirement to clean up first: ingestion is where the cleanup happens.
02 · organize
Structured, with access control
Extracted data is structured and stored with access control by team. Who can see what is defined once — and enforced everywhere, for people and agents alike.
03 · govern
Agents under control
AI agents connect only to the data they are allowed to see. Every access is logged and auditable — you can always answer which agent touched which data, and what it did with it.
04 · reveal
The data speaks
On top of governed data, ENTUM surfaces what it means: growth points, hidden reserves, early risk signals — instead of one more dashboard nobody opens.
Deployment
Cloud today. Local models in your perimeter — on the roadmap.
The platform currently runs in the cloud with LLMs accessed via API. Local deployment with local models on your infrastructure is in development.
How we work with early customers
- Pilot: 2–4 weeks
- Rollout: 2–3 months
Deliverables: API + documentation + team onboarding.
ENTUM is in early access. Parts of the platform are in active development — we build openly with design partners and say “in progress” when it is in progress.
Pricing is being finalized with design partners — ask us on a demo.
30 min · live product walkthrough · no sales pressure