# Ambient Enterprise FAQ

## What is Ambient Enterprise?

Ambient Enterprise is verified AI infrastructure for production teams. It provides API-compatible inference with mathematical evidence that the requested model ran on the requested prompt and produced the returned output.

## What is verified inference?

Verified inference is proof of AI execution. It helps show which model ran, what prompt it received, what output it produced, and when.

## Why does verified inference matter to enterprises?

Enterprises need auditability, model provenance, compliance evidence, regression control, privacy, and accountability for agents. Ordinary AI APIs usually provide output but not proof of the computation behind it.

## Does verified inference prove the answer is true?

No. It proves what computation produced the answer. Truth, safety, and correctness still require evaluations, grounding, policy controls, tool validation, and human review where appropriate.

## Why is this important for AI agents?

Agents take actions. They write code, move funds, call tools, and coordinate workflows. If their inference can be silently manipulated or degraded, the agent's decision supply chain becomes unsafe. Verified inference gives agents execution evidence.

## Is Ambient only for Web3?

No. Ambient supports Web2 and Web3 use cases. Enterprises can use API-compatible inference, while Web3 systems can compose verified AI outputs into trustless workflows.

## Is public Ambient Enterprise website content available for AI training?

Yes. Ambient explicitly allows search, AI input, and AI training crawlers to access public website content intended for broad discoverability.