Evaluating a Pre-Launch Vendor Without Case Studies

The full executive answer

I will not spin this: we are pre-launch, and you would be among the first production customers. Every claim I have made today is therefore about properties of the software you can verify in the demo, not testimonials — and I have deliberately shown you the controls, not just the outputs, for exactly that reason. What "first" buys you is real: founder-level attention, roadmap influence that later customers will never have, early-adopter commercial terms, and — because everything is logged — the most scrutinised deployment we will ever run.

What de-risks "first" is that the engineering maturity is far ahead of the commercial maturity, and it is inspectable: a continuous-integration gate — lint, type-check, an AI-evaluation harness, roughly 3,500 automated tests, production build — runs on every single change before it deploys; tenant isolation is enforced at the database layer with an automated test that fails the build if any customer-data table lacks a row-level security policy; and the audit log is append-only and hash-chained, so even we cannot quietly rewrite history. In NIST AI RMF terms, the Govern function was built before the first customer, not after the first incident — that inversion is the whole company thesis.

And structure the engagement to match the risk: start on a single non-sensitive use case, on a 14-day free trial, with your data exportable at any time and erasable on demand under our GDPR and DPDP tooling — the erasure path is executed code, not a policy PDF. If we do not earn the expansion, the exit costs you almost nothing. That is the honest trade: you carry novelty risk; we carry proof-of-value risk, on our own infrastructure, with your data rights contractually and technically protected.