An AI-native audit platform that enters through the auditor.
auditRAMP(AI) is building Luca — drop an evidence set, test the full population against an audit standard’s criteria, surface findings with their reasoning paths, and produce a portable, re-runnable report. The wedge is the auditor, not the audited company.
The auditor is the wedge.
Auditors today sample ~50 events out of millions and attest to the result. Every qualified opinion and failed audit begins with the 99% nobody looked at. Luca tests everything and lets the auditor verify the work — including the absence of findings.
The primary buyer is the auditor: a repeat buyer who runs engagements all year. The secondary buyer is the SaaS company, who buys a single audit-readiness engagement whose output is a portable Luca report — which their auditor then re-runs. That crossing is the moat: auditees pull auditors onto the platform, and auditors pull auditees.
Why now: the capability has existed, but it was never economically buildable by a traditional software team — too many judgment calls, too much unstructured evidence to normalize. AI is the activation energy that finally clears that hill at a justifiable cost.
Defensibility
Full population
Testing everything, not sampling, is the product’s reason to exist — and the thing incumbents priced on pre-AI human economics can’t profitably match.
No-integration distribution
Evidence drop, not ERP integration. The sales cycle is a demo, not a six-month procurement.
Zero-PII architecture
Aggregate-query LLM delegation — the model never touches raw evidence rows. Cheap to run and procurable across regulated verticals.
Standards-grounded reasoning
A defensible point of view (full population, traceable assurance) becomes the thing the industry argues from.
Two-sided referral loop
A readiness engagement on the auditee side produces a report the auditor re-runs to confirm — a warm introduction across the table. Adoption on either side seeds leads on the other, lowering acquisition cost as the installed base grows.
Built by a founder with 15 years adjacent to compliance verification.
Ray Karnes, Founder & CEO
Ray founded auditRAMP(AI) to build the compliance verification architecture he’d spent 15 years working adjacent to. Direct experience leading FedRAMP deployments and SOC 2 / ISO 27001 readiness across multiple roles, with standards-grounded ontology design spanning frameworks across cyber, finance, healthcare, industry, and government.
Advisory: direct advisory by a VP-level audit leader at a top-5 US bank.
Engineering graduate @ CU Boulder
Actively sourcing a GTM co-founder — B2B SaaS sales into security and compliance buyers. Colorado-based preferred, remote-acceptable.
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