
Andreas Stuhlmüller is the cofounder and CEO of Elicit, an AI research assistant that automates evidence synthesis for scientists and analysts. A cognitive scientist by training (PhD, MIT), he built probabilistic programming languages before turning to a single question: can AI help people reason well about hard problems? His answer is process supervision, the idea that you get trustworthy machines by watching how they think, not just grading what they produce. Elicit, which spun out of his nonprofit Ought, raised a $22M Series A in 2025 and serves hundreds of thousands of researchers.
Elicit is an Oakland-based AI research platform that automates the slow, manual parts of scientific literature review - searching, screening, and extracting data from papers. Spun out of the nonprofit research lab Ought in 2023, it lets researchers query a corpus of over 125 million papers, run systematic reviews that are traceable and auditable, and extract data from tables and figures with accuracy that rivals expert reviewers. More than two million researchers across academia, biotech, and pharma use it to get evidence-based answers in hours instead of months.