Discovery leads the data.
Anyone can build a dashboard. A defensible valuation number requires the opposite order of work: agree what the metrics mean, model the data to enforce those meanings, prove the pipeline is trustworthy, and only then put a chart on it. Our method runs in six movements.
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Readiness compounds. Start the clock early.
Data readiness pays twice: sharper decisions during the hold, and a credible, controlled process at exit. The later the work starts, the more it costs: in fees, in management attention, and in price.
Time to fix the data and act on what it reveals: at-risk accounts saved, pricing optimised, cross-sell landed. By the time the process launches, the equity story is a track record, not a claim.
Enough runway to agree definitions, rebuild multi-year history, and reconcile the ARR bridge, entering the process with verified data and control over timing.
A reactive clean-up under diligence pressure: cost, management distraction, extended timelines, buyer frustration, and discounts on every number that cannot be verified.
Audit-grade by construction, not by cleanup.
Diligence teams don't just ask what the numbers are — they ask how you know. Every layer of the platform is built to answer that question without a war room.
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We hand over a capability, not a dependency.
Every engagement ends with structured knowledge transfer: model documentation, KPI glossaries, user guides per dashboard, and recorded onboarding for business users. Finance can self-serve governed data straight into Excel; analysts inherit documented, version-controlled models, not a black box.
Book a demoWe enable the exit. We don't run it.
A valuation event is run by specialists: the diligence providers, auditors, and valuation teams your investors and advisors appoint. Their work is only as fast and as strong as the data they're given. Our job is that layer: the governed KPIs and auditable datasets they can take at face value, so their questions get answered in days rather than war rooms. The earlier that layer exists (ideally 12 to 24 months before a process launches), the more control you keep over timing, valuation, and outcome.
Management owns the KPIs day to day: board packs, forecasts, and commercial decisions all come off the same governed platform.
Definitions agreed once, models auditable to source, multi-year history reconciled, delivered as a capability your team runs, and a dataset others can trust.
Diligence providers, auditors, valuation and QofE teams ingest the datasets directly: for the request list, the data room, and the models behind the price.
Six movements. One defensible number.
See the method applied to a real diligence request list.
Data, Analytics & AI. We make PE-backed B2B recurring-revenue businesses exit-ready.