Due diligence that runs itself

AI agents that read data rooms, extract financials, flag risks, and produce investor-ready DD reports. What takes analysts weeks now takes minutes.

$ dd-agent analyze --dataroom ./acme-corp/
Ingested 847 documents (2.3 GB)
Extracted financials from 23 statements
! Flag: Customer concentration risk (top 3 = 72%)
! Flag: Non-standard revenue recognition in Q3
DD report generated: ./reports/acme-dd.pdf
$ _
90%
of DD is still done manually
$8B+
due diligence market by 2027
40hr
average time saved per deal

How it works

01

Upload the data room

Drop in contracts, financials, legal docs, compliance records. Any format. The agent handles the rest.

02

Agents extract and analyze

Specialized AI agents parse every document, extract key data points, cross-reference figures, and flag anomalies.

03

Get your DD report

A structured, investor-ready report with risk flags, financial summaries, and source citations. Review, approve, ship.

Built for the way deals actually work

Not another document viewer with a chatbot bolted on. These are purpose-built agents that understand due diligence.

Risk detection that doesn't sleep

Agents proactively scan for customer concentration, margin erosion, unusual accounting, problematic clauses, and regulatory gaps. Every flag links back to its source document.

Risk Analysis
WARN Customer concentration: 72%
WARN Rev recognition: non-standard
PASS IP ownership: clean
PASS Employee agreements: standard
WARN Lease terms: above market
PASS Regulatory compliance: OK
📄

Financial extraction

Pull revenue, margins, EBITDA, working capital, and debt schedules from messy PDFs and spreadsheets. Auto-reconcile across periods.

🌐

Multi-language support

Korean, English, Japanese, Chinese. Analyze data rooms in any language and produce reports in yours.

The last analyst standing will be an agent

Due diligence hasn't changed in 30 years. Spreadsheets, checklists, junior analysts pulling all-nighters. We think that's broken, and we're fixing it from Seoul.