Sciloop
Expert STEM reasoning data for frontier AI labs.
Based based in San Francisco, CA, USA, Sciloop works in b2b.
Profile
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.
Its activity falls under b2b; the profile below is assembled from public directory data.
The business is associated with San Francisco, CA, USA.
The company is listed at the Fall 2025 stage of development.
Recorded headcount: 2 employees.
Directory analysis
Sciloop develops a library of expert‑level math and physics problems that current frontier AI models struggle to solve. These problems, crafted by IPhO and IMO medalists, are sold to AI labs as training and evaluation data to push the limits of AI reasoning. The company operates out of San Francisco and is in an early, pre‑seed stage.
Positioning: Sciloop occupies a niche at the intersection of advanced STEM problem generation and AI training, targeting high‑end research labs that require challenging datasets. Its focus on expert‑created content differentiates it from generic benchmark providers, but its market remains limited to specialized AI research organizations.
Note: Sciloop provides AI labs with continuously updated, expert‑level STEM problem sets for training and evaluation.
Auto-generated directory analysis from public data · updated 8 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Employees | 2 |
| Stage | Fall 2025 |
Website: sciloop.dev
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