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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 question
  1. What surfaces

    A sector watch on hiring, pricing and leadership changes surfaces 40 add-on candidates.

  2. 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.

  3. How it moves forward

    Add-on financing.

    Potential capital: Unitranche lender · Co-invest LP.

    Post-close integration outcomes write back against the prediction.

WHAT YOU GET

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.

01Evidence-backed judgmentEvery material claim opens to the source and transform path behind it.
02Assumptions stress-testedCausal links, model disagreement and weak spots scored before the call.
03Approved work generatedThe call becomes plans, tasks and tracked outcomes.
01 · LISTEN

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.

THE WATCHSources and triggers you set
THE BRIEFEvidence, confidence, urgency, recommended action
THE CONTEXTApproved briefs become inputs to strategy and execution
SIGNAL → BRIEF → APPROVALGoverned
Watch→Source run→Signal→Brief→Approval→Context
Nothing acts on its own. A human approves before anything moves, and the audit trail is kept.
02 · ANALYZE

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.

STRATEGY
Wardley MapsThree HorizonsTAM / SAM / SOMHypothesis Trees
INVESTMENT
Market ResearchCompetitive IntelM&A IntegrationUnderwriting Support
PRODUCT
Opportunity-Solution TreeKanoNorth StarDev Handoff
GO-TO-MARKET
Account StrategyPricing ArchitectRFP ResponseLaunch Orchestrator
CUSTOMER
Journey MappingRetention AnalysisWin/Loss Analysis+ more engines
+ Your methodology, as custom enginesCAPTURED ONCE, RUN LIKE ANY OTHER ENGINE

Your method, captured once, run like any other engine.

03 · REASON

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.

BELIEF LATTICE · HOW WILL IT LAND56,160lens combinations: 30 cultural × 12 epistemic × 12 domain × 13 frameworksBelief maps: where perspectives agree, where they fracture, which assumptions carry the call.
INTERPRETANALYZETRACE
CAUSAL LATTICE · WHAT DRIVES WHAT18causal models, from a single model to multi-model consensusCausal graphs: drivers, mechanisms, counterfactuals, statistically validated and tracked against outcomes.
DRIVERSFORKSCALIBRATE

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.

Confidence dependency graphIllustrative · product UI

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

  1. Map platform service gapsOwn 100Effective 100
  2. Screen 40 add-on candidatesOwn 100Effective 100
  3. Infer EBITDA for private targetsOwn 70Effective 70
    Evidence gap · Inferred EBITDA for private targets
    1. ↳ From Infer EBITDA for private targets · weak input carries forward
      Rank and dropOwn 100Effective 90
      Capped by upstream · Infer EBITDA for private targets (70)
    2. ↳ From Infer EBITDA for private targets · weak input carries forward
      Draft the IC memoOwn 94Effective 90
      Capped by upstream · Infer EBITDA for private targets (70)
    3. ↳ From Infer EBITDA for private targets · weak input carries forward
      Synthesize the decisionOwn 100Effective 90
      Capped by upstream · Infer EBITDA for private targets (70)
  4. 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.

$8M
12 months
90%
Illustrative · TaskExecutor · buy-and-build

Analyze financial and unit economics

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.
V1 · all task outputs completed
05 · ACT

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.

THE PLANRecommendation, broken into tasks
THE GATESReads free, writes approved
THE RECEIPTEvery action recorded
THE LOOPOutcomes feed the next run

Delivered with gaps is not failed.

05 · ACT · FLOW
1Recommendationfrom the decision file
2Plansteps, owners, dependencies
3Tasksscoped tools and sources
4Executioninside your systems
5Outcomewhat happened
6Feedbackback into the engine
GOVERNED ·READS FREEWRITES GATEDAPPROVALS SCOPED

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.

STRATEGYYOU ARE HEREShould we make the bet?Start with Strategy →
ORIGINATIONWhere can the bet land?Explore Origination →CAPITALWho should fund the bet?Explore 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.

Small to start. Proof before scale.
Bring one decisionSign in