PriorLabs is building breakthrough foundation models that understand spreadsheets and databases - the lifeblood of science and business. While foundation models have transformed text and images, tabular data has remained largely untouched. We're tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.
Our initial release TabPFN achieved state-of-the-art performance with significant traction (100K+ downloads, 1,200+ GitHub stars), and we're now building even more powerful models that combine the latest AI advances with specialized architectures for tabular data.
Led by Frank Hutter, the most cited researcher in AutoML, our team of world-class AI researchers and engineers has a track record of pioneering breakthroughs. With substantial backing from top-tier investors, we're rapidly moving toward commercialization. Want to help organizations worldwide unlock the true value of their most critical data assets? Join us in making it happen.
You'll be among the first scientists developing an entirely new class of AI models. Our latest breakthrough (TabPFN) outperforms all existing approaches by orders of magnitude - and we're just getting started. This is a rare opportunity to:
We're pushing the boundaries of what's possible with transformer architectures for structured data. Key challenges include: