Decision.AI
Decision.AI provides an open-source agentic data science platform built on PyMC, designed to deliver trustworthy, causally grounded analysis for high-stakes business decisions. The platform coordinates six integrated components—including a deep research agent, Bayesian media mix modeling, and a central agent OS—through a single interface, with outputs validated in a dedicated training and benchmarking environment. Unlike generic AI tools, Decision.AI emphasizes transparency and uncertainty quantification, giving organizations answers they can rely on for million-dollar decisions.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Generic AI tools often produce answers without rigorous causal reasoning or uncertainty quantification, making them unreliable for high-stakes business decisions. Organizations face a "trust gap" when using generic AI for complex data analysis, as they cannot verify the validity of the results or understand the confidence levels behind the recommendations.
Solution
Decision.AI provides an agentic data science platform that combines causal reasoning with uncertainty bounds to deliver trustworthy analytical results. Built on the open-source PyMC library, the platform coordinates six integrated components—including a Deep Research Agent, Bayesian Media Mix Modeling, a central Agent OS called Daimon, a CLI for agent skills, portable expertise modules, and a training environment called Decision Gym—all working through a single interface. The system uses a structured workflow where the Deep Research Agent leverages skills, Daimon orchestrates the process, and results are validated in the Decision Gym. This approach ensures that every analysis is transparent, inspectable, and free from black-box limitations, providing answers that can support significant business decisions.
Target Audience
Primary customers are data science teams, business intelligence professionals, and decision-makers at enterprises that require rigorous, causally validated analytics for high-stakes operational and strategic decisions.
Features
- Deep Research Agent for automated, agentic data science workflows
- Bayesian Media Mix Modeling (MMM Agent) for marketing analytics
- Daimon, a central Agent OS that orchestrates multi-agent coordination
- Decision-Hub, a CLI tool for managing agent skills
- Decision Gym for training and benchmarking agent performance
- Fully open-source architecture built on PyMC with no vendor lock-in