Investors
Building the proof layer for verifiable AI governance.
Proveria starts with model release governance — the point where claims, evidence, evaluations, approvals, and customer assurance converge — and expands into broader AI evidence verification workflows.
The thesis.
- AI systems are moving into higher-stakes decisions.
- Customers, auditors, and governance teams are asking harder questions about how models were built and released.
- Current governance evidence is scattered across tools, documents, tickets, and approval systems.
- The market needs a proof layer that makes AI governance claims independently checkable.
- Proveria starts with model release governance and expands into broader AI evidence verification workflows.
The wedge: trust, but verify model governance.
Proveria starts where the pain is becoming urgent: model release evidence, dataset claims, restricted-source checks, evaluations, approvals, and customer-facing verification.
The product object: a proof package.
A proof package connects a claim to the evidence, policy, signer, timestamp, and receipt behind it. It gives internal teams, customers, and auditors something they can independently check.
model-governance-proof
verified- Claim
- Release requirements satisfied
- Evidence
- Datasets, evals, approvals
- Policy
- Model release policy
- Receipt
- Signed, timestamped, checkable
Expansion path.
What we are looking for.
Teams with active model governance proof problems
Investors interested in AI infrastructure, governance, compliance, and trust
Technical advisors with ML platform, security, cryptography, or regulated-market experience
Want to talk about Proveria?
We are talking with teams, investors, and advisors who see model governance moving toward independently checkable proof.