Diligence & Data Rooms
A data room that reads itself.
Point agents at the data room. They classify every document, extract the terms that matter, flag the risks and draft the diligence report, with every finding linked back to its source page.
Replaces: Manual document review, junior diligence hours
How it works
Diligence & Data Rooms, end to end.
01
Connect
Point agents at the data room. They read every document, not a reviewed sample.
02
The agents work
Agents extract the issues, obligations and red flags, each cited to the page it came from.
03
You stay in control
Your lawyers review the findings and form the view. The judgement stays with the firm.
Shipped, on real work
Proven on a top-tier firm diligence exercise.
Trust & governance
Run it under control.
Governed. Measured. And you can see exactly what it costs.
monō does the same work for a fraction of the spend. It only sends the AI what it actually needs to answer, not the whole history. So a typical task can use up to 70% fewer tokens than running an agent the standard way. Routine, high-volume work runs on cheaper models; the hard calls go to the best models available. And for the work you do most, we tune smaller, faster models built for the job.
You see the cost per agent, in plain numbers.
Governance
Every agent runs under policy. Every action logged, reproducible and reviewable.
Eval & monitoring
Every output scored against your standard before it ships. Drift caught early.
Cost & efficiency
Far fewer tokens than running an agent raw, and the right model for each job.
The pack your risk team will ask for.
Deployed in your cloud. Inference-only, your data is never training data. ISO 27001 certified. The controls map, data-flow diagrams and sub-processor list.
PDF · 4 pages
Diligence & Data Rooms, asked and answered.
Does it actually read every document?
Yes. Agents review the full data room, not a partial sample, and cite each finding to its source page, so nothing turns up late in the deal.
How fast is a first pass?
Hours, not weeks. Agents work the full room in parallel, so the issues list is ready while the team is still scoping.
Where does our data live, and can we use our own model accounts?
Inside your cloud or tenancy. monō is inference-only, your data never trains anyone's models and never leaves your control. Bring your own API keys: your accounts, your rates, zero markup.
One platform, two ways in
Where this runs.
Put Diligence & Data Rooms to work.
See it on your own data, or start with the Executive Intelligence collection.