Coming soon · AI due diligence for private equity
Every number, interrogated.
We are building the tool that turns a chaotic data room into structured, investor-grade output — running the actual math, cutting the cohorts, and flagging what the seller buried. Early access opens to a small group of funds first.
Net revenue retention by cohort
Flagged in this run
What we are building
Pass sooner.
Commit with conviction.
Most tools summarise a CIM and call it intelligence. Sundooq is being built to do the work an associate would do at 2am — and to show every step of it.
Kill bad deals in an afternoon
Surface concentration risk, margin compression and cohort decay on day one of due diligence — before you've burned a single advisor hour.
Twice the deal flow, same team
Data cuts, normalization, anomaly detection, schedule building and formatting — automated end to end, in your firm's template.
Real math, not a language model guessing
Every figure is computed in a deterministic engine against source rows. No hallucinated totals, no confidently wrong bridges.
Every output traces to a cell
Click any number to land on the file, tab and row it came from. Excel-ready exports and a complete audit trail for IC.
Security posture
Your data room
stays yours.
Sundooq was built for institutions that cannot afford a maybe. Files are processed in an isolated tenant, never retained after a deal closes, and never used to train anything.
Request the security brief →Built by investors
We built the tool we kept wishing existed at 3am.
Sundooq started in a deal room, not a lab. The name is the Arabic word for the vault a fund is built on — and our founding team spent a combined nineteen years in middle-market buyout — rebuilding management's revenue bridge by hand, chasing a $600K variance across four versions of the same workbook, learning the hard way which add-backs never survive contact with the buyer.
That work is valuable. Doing it manually is not. So we encoded it: the cuts a good associate makes without being asked, the checks a good partner runs before IC, the traceability a good lender demands afterward. What comes out the other side isn't a summary — it's a schedule you can defend line by line.
The result is a platform that mirrors how your firm already works rather than asking you to work like software. No copilot theater. No confident nonsense. Just financial due diligence, done properly, at a speed that wins deals.
Talk to the founders →How it will work
Three steps from
data room to schedule.
No integration project, no IT ticket. Send files the way you already receive them.
Drop in the data room
Excel, PDF, scanned contracts, a zip from the banker's portal. We parse to row level and reconcile against the trial balance.
Real math runs
Cohorts, retention, margin bridges, add-back verification and working capital — recomputed in a deterministic engine, not estimated by a model.
Output you can take to IC
Flagged findings ranked by EV impact, an Excel-ready schedule, and every figure clickable back to its source cell.
Before you ask
The questions
every fund asks.
How is this different from an LLM summarising a CIM?
Summarisation is not due diligence. Sundooq recomputes figures from source rows in a deterministic engine, so a total is arithmetic rather than a prediction. Where a language model helps — reading contract clauses, classifying line items — its output is verified against the underlying data before it reaches you.
What happens to our data?
Files are processed in an isolated tenant and are not used to train any model. Retention is configurable per engagement, including delete-on-close. Ask us for the current security brief and subprocessor list before you send anything.
How long will a first run take?
Our target is a typical mid-market data room parsed in under an hour, with a full revenue-quality cut and flagged findings back the same day. Design partners will hold us to that.
Does it replace our QoE provider?
No. It removes the manual rebuild work your team and your advisors do before the judgement calls start, and it gives you a defensible position going into those conversations.
When can we actually use it?
We are opening access in stages to a small group of design-partner funds. Joining the waitlist puts you in that queue — we will come back to you with a date and, if you want, run a recently closed data room so you can judge the output against a deal you already know.
Early access · Opening in stages
We are opening to a small group of funds first.
Sundooq is not publicly available yet. Join the waitlist and we will come back to you with a date — and, if you want it, run a recently closed data room so you can judge the output against a deal you already know.