# Gaia

> Gaia is the governed platform for building, operating, and scaling enterprise AI agents and AI applications. It gives platform and delivery teams one operating model for runtime control, evaluation, delivery control, and lifecycle evidence.

## More control for enterprise AI.

Gaia 3.2 will focus on performance and productivity.

## Gaia is the governed platform for building, operating, and scaling enterprise AI agents and AI applications.

Gaia turns agents into an operable enterprise capability by connecting solution design, runtime orchestration, shared document work, and operational governance.

## Six work surfaces make the platform concrete.

Gaia carries the work itself, not just the controls around it. These public entry points show where agent operations, drafting, evidence, evaluation, and delivery happen in practice.

## Governance is now a visible product surface, not an implied promise.

The user guide now documents the Governance workspace as a concrete operating module with linked controls, obligations, classifications, discovery, operations, and explainability workflows.

## Close the gap between design intent and production operations.

Gaia is designed to keep design intent, runtime control, and production evidence connected as teams move from pilots into long-lived enterprise operations.

## The three pillars

Governance, collaboration, and ModelOps-style operations are embedded by design.

## Core control layers

Shared lifecycle capabilities across design, execution, and evolution.

## A complete operating architecture for enterprise AI agents and AI applications.

Execution, knowledge, and governance layers work together so agents and AI applications behave as long-lived enterprise operational systems.

## Operational lifecycle built into the platform

Gaia embeds lifecycle checkpoints into the platform so teams can design, operate, evaluate, and evolve AI systems with the same control model.

## Markdown access

- Canonical page: /
- Markdown page: /index.md