
Consumer & industrial products
Revenue verified across three order systems and reconciled to the bank; share-of-search showed the category shifting underneath. Earnings repriced before the LOI.
Diligence for private capital
Most firms buy them separately — two teams, two timelines, findings that never meet. We run them as one exercise.
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We partner with allocators whose returns hinge on credit judgment. Every engagement runs commercial and financial diligence as one team, inside the deal — not on the sidelines.
Direct lenders and private credit funds originating loans. We underwrite borrowers, structure protections, and monitor performance through the cycle.
Sponsors weighing acquisitions, add-ons, and refinancings. We pressure-test the structure, model the downside, and surface the risks that shape price — before the LOI.

Revenue verified across three order systems and reconciled to the bank; share-of-search showed the category shifting underneath. Earnings repriced before the LOI.

A lender re-underwriting recurring revenue. We rebuilt cohorts from source records, tested renewals against billing and the competitive set, and set covenants to the real risk.

We traced revenue and cost of goods per location, layered in local competition and foot traffic, and showed which sites earned their keep.
Evidence, not summaries.
In private capital, being wrong is expensive. Being slow is fatal.
Traditional diligence is rigorous but slow. AI tools are fast because they summarize — confident prose with nothing underneath.
We run commercial and financial diligence as one exercise, every number traced to its source. The financials say what happened; the commercial evidence — market, customers, channels, supply — says whether it holds. That is decision-grade.
AI does the compiling. Credit analysts own every judgment.
On every deal, we examine — financial and commercial
Revenue qualityFinancial
Traced to source systems and reconciled to the bank.
Unit economicsFinancial
Cohorts, retention, and margin rebuilt from primary data.
Capital structureFinancial
Leverage, covenants, and protections tested against the downside.
Cash conversionFinancial
Earnings tied to actual cash; working-capital drag exposed.
Marketing & SEOCommercial
Traffic, funnel, and search position tested against spend.
DigitalCommercial
Site conversion, app engagement, and channel economics from raw analytics.
BrandingCommercial
Brand strength, pricing power, and share of search against the category.
GEOCommercial
Visibility in AI answers and generative search — where discovery is moving.
Competitive & market researchCommercial
Share, pricing, and positioning tested against the field.
Supply chain & sourcingCommercial
Supplier concentration, lead times, and landed cost.
MerchandisingCommercial
Assortment productivity, sell-through, and markdown exposure.
Commercial and financial diligence in one pack. We verify revenue and cost against source records, test the market position behind them, and quantify the risks that move price and terms.
Borrower analysis, structuring, and credit memoranda. We build the cohort, retention, and cash conversion picture from primary data, then set covenants and protections to the risk the evidence actually supports.
Ongoing surveillance, covenant tracking, and early warning. We reconnect to the same data sources every week, so drift in revenue quality or unit economics surfaces while you still have options.
A three-day median from data access to delivered pack. Short enough to fit inside a live process, structured so nothing is taken on trust.
We frame the credit question with your team, then map the data and take read-only access to the source systems.
We reconcile transaction data to the financials, log every exception, and test the thesis against what the records show.
A clear recommendation, the findings behind it, and the source trail for every number — an artifact that stands up in committee.
Revenue pacingReconciled to the bank, not the dashboard
−1.8% wk/wkband ±6.0%
In bandDiscount penetrationShare of returning orders discounted
27% of orderstwo-sided 22–34%
In bandInventory coverPriority styles, size-curve weighted
4.7 wks coverfloor 6.0 wks
BreachDiagnosisRestock lands in 11 days. The rule already pulled the style’s four ad URLs — paid spend never points at a page that can’t convert.
Promo durationEvery live code vs. its registered cap
47 days livecap 21 days
BreachDiagnosisOne code has run 47 consecutive days against a 21-day cap. Escalated with a diagnosis and a recommended change — never a silent account edit.
Return rateMatured, by cohort — not the 30-day illusion
18.9% maturedbaseline 17.5%
WatchBrand share of searchDemand the auction can’t rent
66.5% impr. sharefloor 60%
In bandOne month of ad spend pointed at out-of-stock pages. The inventory monitor pulls those ads automatically — before the money is gone.
How much earlier the promo monitor flags a discount code left running — caught at its cap, not at the post-mortem.
Nine Mondays on the board, two incidents caught and cleared inside a week each. Nothing found by someone deciding to go look.
The monitor reads source systems directly and tests its registered threshold.
A breach gets a written diagnosis that week — what moved, on which basis.
A named owner signs off before anything changes.
Covenant talks, budget moves, fixes — with weeks of runway, not a quarter’s lag.
The thing that detects is never the thing that edits — and no threshold moves after the monitor goes live.
Wherever your deal is, there is a place we plug in — and the core of it fits inside the diligence window.