# Axiom

> Every target now has an AI narrative. Almost none of them have been diligenced. We score the AI a company actually runs — how it operates, what it sells, and whether its market survives — across eight weighted domains, and convert every finding into a deal term: a number, a verdict, a decision.

Axiom treats AI as a diligence scope area of its own: it scores the AI a company
actually runs across eight weighted domains and converts each finding into a deal
term — a number, a verdict, a decision.

Every page below is available as markdown by appending `.md` to its URL
(e.g. https://axiomdiligence.com/lenders.md). The full site as a single document: https://axiomdiligence.com/llms-full.txt

## By deal role

- [The platform](https://axiomdiligence.com/platform): Every target now has an AI narrative. Almost none of them have been diligenced. We score the AI a company actually runs
- [PE buy-side](https://axiomdiligence.com/buy-side): The target has an AI story. Your model has a number. Nobody in the process has checked whether they match.
- [sell-side](https://axiomdiligence.com/sell-side): Every serious buyer is about to diligence your AI — and an unanswered AI question becomes a price chip in their hands.
- [lenders & credit](https://axiomdiligence.com/lenders): Increasingly, the answer is a model — one the borrower may not own, may not control, and may not be able to replace.
- [portfolio & value creation](https://axiomdiligence.com/portfolio): Diligence ends at close. The AI risk doesn't. We score the AI across every holding, re-score it every quarter

## By industry

- [Industry coverage](https://axiomdiligence.com/industries): We read every target twice. Once against the failure modes that actually turn up in its industry
- [Healthcare services](https://axiomdiligence.com/healthcare): Ambient scribes, coding automation, prior-auth bots, triage tools. In healthcare services the AI sits inside the revenue cycle and the clinical…
- [Software / SaaS](https://axiomdiligence.com/software): In software the AI question is a margin question and a moat question . An “AI-native” product built on someone else's model has someone else's cost…
- [Insurance & financial services](https://axiomdiligence.com/insurance): Underwriting, pricing, claims, fraud, credit decisioning — in financial services the AI is the operating model
- [Industrials & distribution](https://axiomdiligence.com/industrials): Forecasting, pricing, routing, predictive maintenance, vision inspection. In industrials the AI is wired into physical operations
- [Business & professional services](https://axiomdiligence.com/services): Staffing, accounting, agencies, engineering, BPO. Here AI doesn't threaten a system — it threatens the delivery model itself .
- [AI infrastructure & specialty industrials](https://axiomdiligence.com/infrastructure): Cooling, power, thermal management, electrical, data-center fit-out. These businesses now command the richest valuations in the market
- [Payments & fintech](https://axiomdiligence.com/payments): Fraud scoring, credit decisioning, KYC and AML, dispute automation. In payments the AI sits directly on the money

## Notes

- Interactive product demos on the site are rendered client-side and contain
  illustrative sample data only; they are not factual claims about any company.