The Problem
Trust infrastructure for autonomous agents.
“Plaid solved bank-to-fintech trust. Stripe solved payment trust. Aver solves agent-to-business trust.”
Right now, if an AI agent attempts to transact on behalf of a human, the receiving business faces a wall of risk. There is no proof of authorization and no record that survives a dispute six months later. Aver provides the infrastructure to verify every agent-initiated action, allowing insurance carriers, lenders, and property managers to accept autonomous transactions at scale.
The Solution
The notary for AI agents.
Aver replaces blind faith with cryptographic proof. Every transaction routed through our infrastructure generates a tamper-proof delegation token that explicitly answers four questions:
Who
Verifiable proof of the human authorizing the action.
To Whom
The specific AI agent permitted to act on their behalf.
What
The exact scope, limitations, and allowed data for the task.
When
The strict timeline and expiration of the authorization.
Why Now
Built for the 2026 regulatory landscape.
AI agents are already live in insurance and financial services, handling millions of monthly requests. But as autonomy scales, trust is fracturing — dropping from 43% to 22% in the last year alone.
With regulatory deadlines like the EU AI Act and Colorado AI Act mandating strict audit trails by 2026, relying on unverified agent data is a compliance liability. Aver builds the plumbing required to meet these mandates today.
For Developer-Founders
Ship agents that businesses actually accept.
Integrate Aver's SDK to give your AI agents verifiable delegation tokens. Every action your agent takes is cryptographically signed, so the receiving business knows exactly who authorized what. No more rejection, no more manual workarounds.
View the developer docs →For Operations & Compliance
Accept agent transactions without the risk.
Aver gives your compliance team an immutable audit trail for every agent-initiated transaction. Verify authorization in real time, satisfy regulatory requirements, and confidently accept autonomous submissions at scale.
Talk to our team →