Teams deploy models seamlessly, and leadership oversees them centrally — one platform, total visibility instead of fragmented tools.
Every department's models governed from one platform — policy enforced at runtime, not by memo.
One substrate under ten verticals — each keeps its data in place with an attested record.
Data never leaves its perimeter — models move to the data, and only proven updates travel.
A signed execution record from your first governed pipeline within the first engagement cycle.
Wherever data can't move, or decisions must hold up — CID applies.
One substrate under ten regulated verticals — each keeps its data in place, and every model carries an attested record.
Education
Universities collaborate on models while student and research data stays inside each institution. Cross-institution federations with cryptographically proven contributions — and pipelines any reviewer can verify were run as described.
Use cases
Teams deploy. Leadership oversees, centrally.
One control plane over every department — models ship in place, policy is enforced by the platform, and every run leaves an attested record your board and regulators can read.
Every model. Every team. One enterprise infrastructure.
Stop stitching together per-department AI tooling. STEAV puts every model behind one governed control plane — immutable, verifiable execution records on every run, across every vertical you operate in.
First pipeline run in 4–6 weeks. First production federation in 8–12.
We map one department's workflow and stand up an environment in your cloud.
A signed execution record your leadership and auditors can read.
More departments onto the control plane — every run leaving evidence.