Scellis
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§ Founders

The people building Scellis

A platform that asks you to trust it with your data and your results is only as credible as the people who built it. Ours are a machine-learning engineer who wrote the engine himself, and one of Europe's most cited scientists in the field.

§ The founders

An engineer, and a scientist

Portrait of Kemal İnecik

Founder · CEO

Kemal İnecik

Machine-learning PhD researcher at Helmholtz Munich and the Technical University of Munich, building deep generative models in one of the world's leading AI-for-science labs. Author of more than ten machine-learning papers — in Nature, Cell, ICML, and NeurIPS among others. He designed and built Scellis end to end: the training compiler, the automatic-differentiation and GPU-kernel libraries, the correctness regime that holds them to a reference implementation, and the platform around them.

  • ML PhD researcher — Helmholtz Munich & TUM
  • 10+ papers — Nature, Cell, ICML, NeurIPS
  • Designed & built the engine end to end
Portrait of Fabian J. Theis

Co-founder · Science

Fabian J. Theis

Professor at the Technical University of Munich and Director at Helmholtz Munich. A Leibniz Prize laureate — Germany's most prestigious research award — and an ERC Advanced Grant holder, he is one of Europe's most cited scientists in machine learning for the sciences. His group pioneered the application of foundation models to scientific data, the closest methodological precedent to what a general, reproducible compute platform makes routine.

  • Leibniz Prize laureate
  • ERC Advanced Grant
  • Among Europe's most cited ML scientists

§ The pairing

Why this team can build this

A platform that trains models on WebGPU, checks every piece of GPU code against a reference implementation, and makes results reproducible by URL is years of engineering — the kind most teams split across a dozen people. Scellis was designed and written by one engineer, which is why it is coherent all the way to its foundations rather than assembled from parts.

The scientific judgment behind it comes from a decades-long research program in machine learning for the sciences. That lineage — Helmholtz Munich and the Technical University of Munich — is why the platform's correctness and reproducibility claims carry error bars; you can read the full posture on honest limits, and the ownership and licensing that back it.

Scellis is built in Germany, inside one of Europe's leading environments for AI in science. If you want the longer story of what we are making and why, the about page tells it; if you are evaluating the company, the investor brief is the place to start; and if you just want to reach us, every channel is here.

The company