House Science is building an AI-enabled operating layer for science — built by scientists, around a simple principle: scientists should direct the AI, retain control of their science, choose the tools they trust, and keep the value their work creates.
Too much of science still waits on infrastructure — time, money, and expertise spent before a question can even be asked. We are removing that dependency.
The details arrive with the platform. For now: you describe the science you want in plain English, and what happens next stays inspectable, reproducible, and yours.
AI doesn't train with scientists here. Scientists train AI — now and forever. We claim no ownership of your work, and we never use it to train models.
Building from Colorado. A member of NVIDIA Inception. Coming fall 2026.
— Leo R. Orozco, Nolan C. Kane, Roberto Arteaga, Daniel J. Klee, Ruben Ortiz, Noah Farris