Evidence-first AI for Nordic mid-market M&A
Diligence you can trace, decision by decision.
oum reads the fragmented material behind a mandate — data rooms, contracts, spreadsheets, threads — and turns it into cited facts, open questions, and human-reviewed decisions your team can stand behind.
Built for Nordic mid-market advisors. Currently in hypothesis testing with a small group of practitioners.
Every answer carries its source
Extracted facts stay linked to the document, page, and passage they came from.
Senior judgement stays in the loop
Findings are routed for human review. oum does not issue advice on its own.
Built around confidentiality
Deal material is sensitive by default, and the workflow is designed to treat it that way.
The problem
Deal context is scattered across the tools it was created in.
Nordic mid-market advisors run diligence across email, spreadsheets, and data rooms at once. The material is there, but the reasoning that connects a clause to a decision is spread between people, threads, and file versions.
Our working hypothesis is simple: fragmented execution is what makes confident deal progress slow, not a shortage of analysis. Meanwhile AI adoption among Swedish practitioners keeps rising while confidentiality and accountability stay unresolved concerns.
A tool that cannot show its sources does not belong anywhere near a mandate.
Approach
An evidence-first copilot, not an answer machine.
oum is built so that every output can be checked in seconds. The work moves faster because the review is cheaper, not because the judgement was skipped.
Ingest the whole deal record
Data room exports, contracts, financial packs, email threads, and spreadsheets are read into one structured record instead of staying scattered across tools.
Extract facts, risks, and contradictions
oum surfaces what the material actually says, where two documents disagree, and which questions the record still leaves open, each with a citation.
Route findings into human review
Every finding lands in a reviewable workflow with an owner and a status, so the team works from one shared view of what is confirmed and what is not.
How it works
From raw material to a defensible decision.
- 01
Load the material
Point oum at the diligence set for a mandate. Nothing needs to be reorganised first.
- 02
Review the cited extract
Read facts, risks, contradictions, and gaps with the underlying passage one click away.
- 03
Decide as a team
Assign, confirm, or challenge each finding. Decisions are recorded against their evidence.
- 04
Report with the trail intact
Client updates and internal memos carry the same provenance the team worked from.
Benefits
More parallel mandates, without thinning the analysis.
Less re-reading
The record is read once and stays queryable, so the team stops re-opening the same PDF to recover context.
Faster client updates
Status comes from the live review state rather than from reconstructing a spreadsheet the night before a call.
An auditable trail
From source document to decision, the path is traceable when a counterparty, a committee, or a regulator asks.
The value hypothesis is time compression, not autonomous advice. For scale: one adjacent diligence implementation reports reducing a roughly 60-hour review to under 20 hours. That is a published result from another team’s deployment, not an oum benchmark — we are testing what holds true for Nordic mid-market advisory work.
Where oum fits
A narrow wedge, deliberately.
oum is not trying to become another broad deal platform. It is a provenance-first workflow for the advisors doing the reading, in the segment where the tooling is thinnest.
- Email and spreadsheets
- Flexible and universal, but decision context is scattered and provenance lives in someone's memory.
- Generic AI assistants
- Fast at summarising, weak at citation discipline and unsuited to confidential deal material as a system of record.
- Broad M&A platforms
- Established suites such as Midaxo cover the full pipeline; adoption cost is high for a mid-market advisory team.
Bring provenance to your next mandate.
We are working directly with a small number of Nordic mid-market advisory teams while we test this hypothesis in real deals. If that sounds like your desk, we would like to hear how you work today.
Introductions currently happen through direct conversation with the founding team.