Manifesto

One Model, Infinite Predictions

Structured data is the language of measurement and decision-making, yet AI still treats it as an afterthought.

At Prior Labs, we're building Multimodal Tabular Foundation Models (TFMs), starting with TabPFN, that understand tables natively - learning statistical reasoning directly from data.

Our vision: truly agentic AI systems capable of understanding high-level goals, fusing tables, language, and images to reason, integrate domain knowledge, infer causality, and adapt dynamically.

This isn't just better analytics - it's a new foundation for discovery across science, medicine, and the global economy.