# Deep research

> Gaia can support deep research workflows similar to consumer AI research tools, but with enterprise control over sources, access, and reasoning process.

## Positioning

Deliver research assistants with curated source control across public, private, and paid content.

- Hero label: Research with controlled sources, access, and reasoning boundaries

## Challenge

Research quality collapses when assistants cannot distinguish between approved private sources, restricted repositories, and lower-trust public material.

## Goals

- Constrain research to approved and auditable source collections.
- Blend private, paid, and internal content into a governed research flow.
- Make reasoning steps and evidence easier to inspect and improve.

## Core functionality

- Controlled retrieval across internal repositories, licensed sources, and external web content.
- Source selection policies based on permissions, confidence, or domain relevance.
- Research workflows that collect evidence, compare findings, and structure outputs for review.
- Governed source collections, runtime research policies, and review-ready explainability artifacts for sensitive conclusions.
- Configurable reasoning and agent orchestration informed by proprietary documentation.

## Typical industries

- Strategy and consulting
- Market intelligence
- Legal and compliance research
- R&D organizations

## Benefits

- Higher trust in outputs because the source universe is explicit and controlled.
- Less time spent manually reconciling information from private and public sources.
- Improved reproducibility for research methods and outputs.

## Deployment modes

- Analyst-ready research assistant with curated repositories.
- Customized research environment with role-based access, approval steps, and source governance.

## Markdown access

- Canonical page: /applications/deep-research
- Markdown page: /applications/deep-research.md