Structured data deserves modern AI.
Structured Data --> LLMs. No black boxes. No AI team needed.
Why it matters
Most AI systems don't understand your data.
Foundation models are built for text, not tables. But your critical data lives in structured formats: CSVs, EMRs, claims files, and spreadsheets. Intelligible makes that data interpretable, explainable, and ready for AI.
Intelligible is grounded in years of research in AI, machine learning, and healthcare. Below are select publications by our team, including work from MIT, the University of Wisconsin–Madison, and leading collaborators. These papers form the foundation of our approach to interpretable AI and predictive modeling in healthcare.
How it works
We bridge the gap between your data and AI.
Most foundation models can’t reason over structured data. Intelligible can — because we build the bridge.Intelligible Connect transforms raw files—CSVs, EMRs, claims—into interpretable components.
Intelligible Core runs insight engines like SurpriseFinder, producing clear, traceable outputs. No black boxes. No prompt engineering. Just answers.
What Intelligible Delivers
An AI system you can trust, from raw data to real decisions.
Structured-data AI, ready to deploy: Transform CSVs, EMRs, and claims into interpretable AI agents — securely and on-prem if needed.
Insight engines that explain themselves: Generate clear, traceable outputs—no black boxes, no fine-tuning.
Integration with AI systems: Already have an LLM strategy? Intelligible Connect can stand alone to connect your data to your AI.
Real results, fast: Early partners use SurpriseFinder and ReAdmit Insights to uncover ways to improve patient outcomes.
You're in the loop. Let's build together.