Illustrative deal · Middle-market buy-and-build
The best target on paper can be the worst one to own.
Which three add-ons fill the platform’s service gaps, and which top-ranked target should we not buy?
Bring one questionWhat surfaces
A sector watch on hiring, pricing and leadership changes surfaces 40 add-on candidates.
What we evaluate
Owners and an approach plan for each shortlisted target.
Shortlist 3 of 40. The financially strongest candidate is dropped on the ninth pass because employee-sentiment and integration-friction signals contradict its numbers.
How it moves forward
Add-on financing.
Potential capital: Unitranche lender · Co-invest LP.
Post-close integration outcomes write back against the prediction.
A verified result, not a starting point.
Most AI improves the memo. Strategy improves the bet. The system does not replace judgment; it gives judgment a structure you can inspect, question and update.
It watches. You decide.
Watches on markets, portfolios, competitors and regulation. When something changes, the system gathers evidence and writes a brief. A person approves it, and the approved context feeds the next decision.
86 engines.
Yours too.
Repeatable judgment, encoded as declarative engines. 1,100+ specialized agents run each stage with confidence gates, from hypothesis to structured strategy. Full strategy run: under an hour for common workflows.
Your method, captured once, run like any other engine.
Two lattices. One verdict.
Every material claim is read through many lenses and tested for what actually drives it. Dissent is kept, not averaged, and the decision file states what would change the call.
A better bet says what would change it.
The confidence graph
Know what supports the call.
Trace the decision to its evidence. Open the checks to see which inputs need a closer look.
Which three add-ons fill the platform’s service gaps, and which top-ranked target should we not buy?
Shortlist 3 of 40. The financially strongest candidate is dropped on the ninth pass because employee-sentiment and integration-friction signals contradict its numbers.
CONFIDENCE 90% · STRONG
See how confidence carries through
1 evidence gap affecting 3 tasks
- Map platform service gapsOwn 100Effective 100
- Screen 40 add-on candidatesOwn 100Effective 100
- Infer EBITDA for private targetsOwn 70Effective 70Evidence gap · Inferred EBITDA for private targets
- ↳ From Infer EBITDA for private targets · weak input carries forwardRank and dropOwn 100Effective 90Capped by upstream · Infer EBITDA for private targets (70)
- ↳ From Infer EBITDA for private targets · weak input carries forwardDraft the IC memoOwn 94Effective 90Capped by upstream · Infer EBITDA for private targets (70)
- ↳ From Infer EBITDA for private targets · weak input carries forwardSynthesize the decisionOwn 100Effective 90Capped by upstream · Infer EBITDA for private targets (70)
- Check employee sentiment and integration frictionOwn 92Effective 92
04 · Branch
Edit the output. Re-run what depends on it.
A TaskExecutor counterfactual starts inside a task’s deliverable. Change the output, then regenerate the dependent work.
Explore causal drivers
Move several assumptions together to prepare a different financial case.
Financial and Unit Economic Diligence Earnings assumption Evaluate the add-on using $8M of target EBITDA. Validate the earnings assumption in diligence. Operating assumptions Use 90% customer retention and a 12-month integration timeline in the financial case. Diligence conclusion Complete financial diligence before committing. Strong financials do not erase employee-sentiment or integration-friction signals.
From call to action.
The approved recommendation becomes a dependency-aware plan. Reviewers set sources, requirements and tools before it runs. Reads are free, writes are gated, and every action carries a receipt.
Delivered with gaps is not failed.
One loop. Three products.
Same reasoning stack, same evidence chain, same governance. Use one, or close the loop from the first signal to funded capital.
Start with one decision.
Bring a live decision your firm faces now. We run it, your team tests it, and you decide whether to expand or stop.