Open Source Decision
Support
Making institutional-grade decision support tools accessible to everyone.
We are building an open-source civic technology platform that combines structured analytical methods with conversational AI — bringing the tools of intelligence analysts and research institutions to individuals, nonprofits, and small organizations.
Closing the Decision Intelligence Gap
We are building an open-source civic technology platform that combines structured analytical methods with conversational AI. The platform uses evidence grading, probabilistic reasoning, and causal inference to help users navigate complex, high-stakes decisions with greater transparency and confidence.
Our goal is to close the gap between the sophisticated analytical tools available to large institutions and what is available to individuals, small organizations, and nonprofits.
Platform Capabilities
Institutional-grade analytical tools, redesigned for accessibility and transparency.
Evidence Grading
Systematic evaluation of evidence quality using structured analytical frameworks adapted from intelligence and medical research communities.
Probabilistic Reasoning
Bayesian and probabilistic tools that quantify uncertainty, helping users understand confidence levels and risk in complex decisions.
Causal Inference
Structured causal modeling to distinguish correlation from causation, enabling more rigorous analysis of interventions and outcomes.
Conversational AI
Natural language interface powered by LLMs that guides users through analytical frameworks without requiring technical expertise.
Early Development Stage
This project is in active early development. We are seeking volunteer contributors to help build the foundation of a more equitable decision-support ecosystem.
Join as Volunteer
Built in the Open,
For the Public Good
The Common Cloud is released under the MIT License — free to use, modify, and distribute. We believe that the tools for clear thinking should be a public resource, not a proprietary advantage.
Help Build the Future of Decision Support
We are actively seeking volunteer technical contributors. If you have experience in Python, LLM integration, React, or applied statistics, we want to hear from you.