
FinFindr
FinFindr builds AI-powered financial solutions and automation for modern businesses. When AI handles financial workflows, every action an agent takes touches regulated, high-stakes data, so proving what an agent did, and that the record cannot be altered, becomes essential.
AI agents acting on financial data need a verifiable boundary: what each agent is allowed to do, and an audit trail a customer, auditor, or regulator can trust without taking the platform's word for it.
Scoped agent identity
Each agent gets its own cryptographic identity and least-privilege permissions, so an agent can only touch what its role allows.
Offline-verifiable audit
Every agent action is signed at the source, producing a record a counterparty can verify independently, without Vorim in the trust path.
Runtime control
High-stakes actions can be gated, modified, or escalated for human approval before they happen.
Kent AI
Kent AI builds and deploys AI products. As agents move from prototypes into production, the unglamorous layer — who is this agent, what can it touch, and what did it actually do — becomes the difference between a demo and a system a team can stand behind.
Shipping agentic AI into production means being able to answer for it: a clear permission boundary per agent, and a tamper-evident record of every action for debugging, incidents, and trust.
Identity for every agent
A first-class cryptographic identity per agent, so actions are always attributable to a specific, verifiable actor.
Fine-grained permissions
Time-bounded, scoped grants checked in under five milliseconds, enforced before an agent acts.
Signed audit trail
A tamper-evident record of every action, so an incident review or a customer question is answered with proof, not "trust our logs".
Build trust into your agents
Give every AI agent a verifiable identity, scoped permissions, and a signed audit trail anyone can verify. Try the live demo, no signup required.
