Prior Labs has raised €9 million in pre-seed funding to accelerate the adoption of its AI model, TabPFN. This investment will help the company redefine how businesses analyze tabular data, making insights faster, more accurate, and accessible. The funding round, led by Balderton, also saw participation from XTX Ventures, SAP founder Hans Werner-Hector’s Hector Foundation, Atlantic Labs, and Galion.exe.
Notably, AI-focused angel investors like Peter Sarlin (Founder & CEO, Silo AI), Thomas Wolf (Founder & CSO, Hugging Face), and Guy Podjarny (Founder, Snyk & Tessl) contributed to the round. Other notable participants include Ed Grefenstette (Director, DeepMind), Robin Rombach (Founder & CEO, Black Forest Labs), Chris Lynch (Founding Investor, DataRobot & CEO, AtScale), and Ash Kulkarni (CEO, Elastic). Their backing underscores the strong belief in Prior Labs' potential to revolutionize tabular data analysis.
Tabular data plays a vital role across industries, from finance and healthcare to environmental monitoring and manufacturing. Despite this, it has largely remained untouched by AI advancements that have revolutionized text and images.
Prior Labs' breakthrough with TabPFN marks a turning point, offering a universal machine learning solution for tabular data. The model is trained on 130 million synthetic datasets, allowing it to detect patterns instantly without requiring additional training. This eliminates the need for expensive, custom-built models, making AI-powered insights widely available.
"Most of the world’s critical decisions rely on tabular data, yet the tools available today are outdated. We’re delivering a quantum leap in predictive accuracy, making tabular data analysis as seamless as AI-powered text or image processing." - Frank Hutter, Co-founder & CEO of Prior Labs.
The fresh capital will be used to enhance Prior Labs' API, making it easier for businesses to integrate TabPFN into their workflows. Key areas of investment include:
Looking ahead, Prior Labs aims to develop new AI-driven features, including support for text-based data and fine-tuning capabilities for proprietary datasets. The company also plans to enhance time-series forecasting, where TabPFN currently ranks #1 on the industry-standard GIFT-Eval benchmark, outperforming Amazon's Chronos model.
Founded in late 2024 within the ELLIS ecosystem, Prior Labs is led by:
The company also benefits from Bernhard Schölkopf (Director at ELLIS & Max Planck Institute Tübingen) and Alex Diehl (Co-founder of Architizer, KKLD*, and BMW iVentures) as advisors. Their expertise ensures Prior Labs remains at the cutting edge of AI innovation.
What sets Prior Labs apart is its commitment to making AI-powered data analysis widely accessible. Traditional machine learning models require extensive training, but TabPFN eliminates this hurdle, allowing businesses to unlock insights instantly with just a few lines of code.
Prior Labs’ funding comes from a diverse set of AI and deep-tech investors. Balderton, one of Europe's leading venture capital firms, has a track record of backing high-growth startups. XTX Ventures and Atlantic Labs are also known for their investments in AI and machine learning-driven innovation.
Other participating investors, including leaders from Hugging Face, DeepMind, and Silo AI, bring extensive industry knowledge and expertise to Prior Labs' journey.
This latest round builds on Prior Labs' momentum as it transitions from academic research to real-world impact, setting the stage for further innovation and adoption of AI-powered tabular data analysis.
