Product memo
Analysts, engineers, and scientists use nao to build and deploy AI-powered data agents. It provides an IDE for writing, previewing, and deploying SQL, Python, or dbt workflows. The platform helps users manage agent context like a file system, integrating data from warehouses and dbt for reliable AI interactions.
For who
Analysts, engineers, and scientists
Solves what
AI-powered data IDE for writing, previewing, and deploying SQL, Python, or dbt workflows.
- AI-powered data IDE
- Context engineering
- SQL, Python, dbt workflows
In their own words
the Analytics Agent built for context engineering
Build your agent context like a file system.
Commercial cues
Model
subscription
Free tier
Yes
Trial
7d
Pricing Strategy
- • A free tier lowers adoption friction for self-hosted agent development.
- • 7-day trial lowers adoption risk.
Operator context
Operating setup
Founded
Nov 2025
Platform
Web app
Audience
Developers
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About nao Expand
Nao provides an AI-powered data IDE designed for analysts, engineers, and scientists. It helps users build and deploy analytics agents by focusing on "context engineering." This means users can manage agent context like a file system, integrating data from warehouses and dbt to ensure reliable AI interactions.
The platform supports SQL, Python, and dbt workflows, allowing teams to develop and deploy custom agents. Its positioning around explicit context management differentiates it from more generic AI coding tools, offering a specialized product for data professionals.