Infrastructure Layer
AI agents execute actions at machine speed — but today they do it without identity verification, budget enforcement, or tamper-proof audit trails. HardrailsAI is the deterministic guardrails layer that sits between your agents and the world.
Why Now
Agent frameworks shipped fast. Controls are 12–18 months behind. Every enterprise deploying agents right now is accumulating unaudited, uncontrolled automated actions — a compliance and security debt that will need to be repaid. Whoever owns the control plane layer owns the trust layer of the agentic stack.
Target Partners
LangChain, Anthropic, OpenAI — embed guardrails natively so developers get control out of the box.
Salesforce, ServiceNow, Palantir — meet compliance requirements before enterprise procurement blocks deployment.
Nvidia, Microsoft, Google DeepMind — add a control plane layer to the agentic compute stack.
The Problem
Every AI platform — LangChain, Salesforce, ServiceNow, your own stack — is deploying autonomous agents. Those agents make API calls, spend budget, touch production systems.
There is no standard for agent identity. No one can tell you which agent took which action with whose authority.
There is no spend enforcement. An agent can burn through your entire API budget in minutes, and you won't know until the invoice arrives.
There is no audit trail. When something goes wrong — and it will — there is no structured, tamper-proof record of what happened or why.
We're looking for platform partners and early enterprise design customers to shape the spec.
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