prior-labs
priorlabs.aiPrior Labs builds pre-trained tabular foundation models designed to make predictions on structured data. The company serves enterprises across finance, healthcare, industrials, energy, and tech sectors, providing solutions for applications such as fraud detection, predictive maintenance, credit risk modeling, and clinical decision-making. Its flagship technology, TabPFN, is a tabular foundation model published in Nature, achieving fast inference and high accuracy on structured data tasks without requiring extensive tuning or traditional machine learning pipelines.
About prior-labs
Prior Labs builds pre-trained tabular foundation models designed to make predictions on structured data. The company serves enterprises across finance, healthcare, industrials, energy, and tech sectors, providing solutions for applications such as fraud detection, predictive maintenance, credit risk modeling, and clinical decision-making. Its flagship technology, TabPFN, is a tabular foundation model published in Nature, achieving fast inference and high accuracy on structured data tasks without requiring extensive tuning or traditional machine learning pipelines.
The team consists of over 40 members with backgrounds from organizations such as Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, and joined SAP as an independent frontier AI lab backed by substantial funding. Open roles indicate that the company is building specialized engineering and product teams to support its technology. For example, the open role listings include a Technical Product Manager for Integrations based in Berlin, focusing on deploying model releases across various partner platforms and enterprise channels.