Building the execution layer for enterprise AI

Dezifi was built to solve the gap between AI demos and production AI execution.

Enterprises do not just need smarter models. They need systems that can safely connect AI to business workflows, enforce boundaries, provide observability, and make agent behavior accountable.

We're a founder-led team building Dezifi as the execution and governance layer for that future — focused on the practical problems engineering, operations, and platform teams face when moving AI agents from prototypes into production.

The result is a single control plane for the whole agent lifecycle: a visual builder for designing agents, workflow orchestration for composing them, policy-as-code and runtime guardrails for governing them, and execution monitoring, evaluation, and analytics for operating them — connected to 140+ enterprise systems teams already run on.

We work with product and platform teams who want AI agents embedded in their own products and workflows — multi-tenant from the first session, auditable from the first run. If that's the problem you're solving, start with the platform tour or the documentation.