Security and compliance were the design constraint, not an afterthought.
Every layer was built to be audited: access is controlled and logged, models and data carry signed, tamper-evident records, and controls map to the frameworks regulated buyers answer to. The platform behaves the way the documentation says it does — because the people who wrote the documentation built it, to production-grade correctness, before anyone was asked to rely on it.
The market’s model-provider solution, built for security and compliance.
STEAV gives regulated organizations both halves of the problem — the AI models they need and the platform to deploy them — with security and compliance built into every layer, not bolted on afterward. Fine-grained access control, a tamper-evident audit log, and layered adversarial defenses secure the platform; control mappings to the frameworks you answer to — HIPAA, GDPR, the EU AI Act, SOC 2 on the roadmap — keep it compliant. Every property is provable on the record, so what you tell an auditor is what the system enforces.
Meet the people that built it.
The platform’s discipline is the company’s discipline.
Talk to the people who built it.
Bring the question you most need answered about verifiable AI — the founders take the call.


