Product overview

Build and govern AI applications across the full lifecycle.

Gaia connects project setup, data modeling, agent configuration, and delivery operations in one platform. Use the modules below as your blueprint from first prototype to production deployment.

What you get
Major Gaia modules aligned to the delivery path.

Project & access controls

Teams, roles, settings, and audit context.

Data and automation

Entities, pipelines, workflows, and ingestion.

Agents and quality controls

Configurations, evals, and operational telemetry.

Product modules

A complete stack of features to ship AI applications.

Each module maps to a key step in the Gaia user guide, helping teams move from foundation to operation without stitching tools together.

01
Project foundations
Stand up teams, roles, and settings before you build.
  • Teams & projects
  • Roles & permissions
  • Settings & audit history
02
Data model
Define entities, relationships, and source files that power your AI.
  • Entities & relationships
  • Structured schemas
  • Storage for files
03
Ingestion & automation
Move data in and keep it fresh with repeatable flows.
  • Pipelines & runs
  • Workflows & triggers
  • Ingestion webhook & schedules
04
Tools & skills
Package reusable capabilities for agents to call safely.
  • Tool registry
  • Skill registry
  • Governed tool access
05
Experience design
Design the user journey with layouts and data binding.
  • UI layouts & forms
  • Data binding to entities
  • Reusable UI patterns
06
Agents & configs
Configure prompts, tools, and handoffs for every agent.
  • Agent prompts
  • Configurations & handoffs
  • Platform Assistant guidance
07
Channels & branding
Publish the experience with channel routing and theming.
  • Channel routing
  • App slug & theming
  • Public entrypoints
08
Conversations & feedback
Validate responses with live conversations and timeline insight.
  • Conversation sessions
  • Timeline inspection
  • Feedback capture
09
Evaluation & quality
Measure quality with structured evals and human review.
  • Eval datasets
  • Design wizard & runs
  • Human review calibration
10
Operate & deliver
Run your AI application with dashboards, tasks, and audit trails.
  • Dashboard performance
  • Tasks & delivery management
  • Artifact templates & audit
Delivery lifecycle

An end-to-end path you can follow in every project.

Gaia aligns teams around a repeatable workflow, so every project moves with the same structure, governance, and clarity.

Follow the full walkthrough

Step 1

Prepare the foundation

Create projects, confirm access, and model the data that matters.

Step 2

Automate and enable

Ingest data, define tools, and design experiences for your users.

Step 3

Activate the agents

Configure agent behavior, channels, and live conversations.

Step 4

Evaluate and operate

Run evals, monitor delivery, and keep audit signals up to date.

Outcomes

Ship faster without sacrificing governance.

Gaia gives teams a single system of record for AI delivery, keeping collaboration and quality aligned as the application scales.

One platform for design, execution, and governance.

Reusable tools, skills, and data models across teams.

Operational confidence with evals, audit trails, and dashboards.

Clear path from prototype to production delivery.

Turn your roadmap into a Gaia build plan.

Align teams on the modules above and ship production-ready AI applications faster.