Autonomous AI agents discover and validate insights directly from data warehouses.
Product memo
DecisionBox provides autonomous AI discovery and validated insights from data warehouses. It differentiates by generating and executing its own SQL, removing the need for manual prompting. Organizations needing actionable insights without extensive data science teams use it to automate discovery from multiple warehouses, supporting both self-hosting and enterprise deployments.
For who
Organizations with data warehouses needing AI insights
Solves what
Autonomous AI discovery and validated insights from data warehouses
- Autonomous SQL generation
- Validated insights
- Self-hosting options
In their own words
Autonomous AI discovery
on your data warehouse
Connect DecisionBox to your data warehouse, run autonomous AI agents that write and execute SQL, and surface validated insights and actionable recommendations.
Commercial cues
Model
free only
Free tier
Yes
Trial
No
Pricing Strategy
DecisionBox offers a free Open Source tier, with Enterprise handled through custom pricing.
- • Open-source core lowers adoption barriers for developers and small teams.
- • No explicit enterprise pricing suggests a sales-led motion for larger deals.
- • Free Open Source tier lowers testing friction.
Operator context
Founded
Apr 2026
Platform
Web app
Audience
Developers
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Small Team
About DecisionBox for Amazon Redshift Expand
DecisionBox provides autonomous AI discovery and validated insights for organizations using data warehouses. It differentiates by allowing AI agents to write and execute SQL, surfacing actionable recommendations without requiring extensive manual configuration or dedicated data science teams.
The platform supports multiple data warehouses and large language models, offering both self-hosting and enterprise deployment options.