platoseedplatoseed
Expert STEM reasoning data for frontier AI labs.
Sciloop creates expert-level math and physics problems that frontier AI models can't solve, then sells the data to AI labs for training and evaluation. Our problems are created by IPhO and IMO medalists — the top 0.01% of STEM talent globally. On our benchmark, models like GPT 5.4 Pro and Gemini 3.1 Pro score 0-5% on our hardest problems. We work with AI labs to supply continuous, fresh training data that pushes the frontier of mathematical and scientific reasoning. Founded by Bilal and Osman, International Physics Olympiad medalists from MIT with hands-on ML research experience at MIT CSAIL.
Co-founder of Sciloop (YC F25), On Leave From MIT International Physics Olympiad ’22 medalist.
CTO and co-founder of Sciloop (YC F25). CS student at MIT (on leave). Medalist and two-time highest national scorer at the 2022 International Physics Olympiad.
Come up with novel hypotheses, run experiments, analyze results, and write the paper — all automatically.
Sciloop builds a platform that automates the full scientific research loop—from hypothesis generation to experiment design, execution, analysis, iteration, and drafting of real research papers—for ML researchers, labs, and teams. It automates research workflows on managed cloud compute and provides metrics, recommendations, and a drafted paper to accelerate discovery.
API for parsing multimodal unstructured data
Data and RL environments to automate knowledge work
