Built for the age of intelligence.
38 Labs started in Europe in late 2024. A consultant tired of seeing mediocre software marketed as superintelligence set out to build something fundamentally different: systems grounded in scientific thinking and engineering rigor, designed to turn intelligence into real capability.
The world doesn't need more software pretending to be intelligent. It needs systems that are. 38 Labs brings scientific thinking and engineering rigor to a new frontier: building systems that don't just assist human intelligence, but turn it into action. Less spectacle. Less imitation. More capability.
Three years, one log.
Born in Europe
38 Labs began with a consultant's frustration with an industry selling conventional software as superintelligence. The ambition was to build something fundamentally different.
First commercial traction
Early customer relationships brought the vision into the world of life sciences, where complex problems demand more than superficial AI.
Across the Atlantic
38 Labs expanded its presence to the United States, positioning itself closer to the companies and technologies shaping the next generation of AI.
Building for complex industries
The company expanded its work across life sciences and other demanding, highly regulated environments.
Three rules we still follow.
Build for reality
A successful demo proves possibility. A production system proves engineering. We design, validate, and deploy AI against real workflows, real data, and real-world constraints.
Evidence over hype
We question assumptions, test what works, and measure what matters. We choose the right approach for the problem—not the trendiest model or the most impressive demo.
Capability over activity
The goal isn't more AI, more code, or more experiments. It's better outcomes: complex work made simpler, decisions better informed, and systems that deliver value in production.
The people on call.
Dr. Yasir Khan
Dr. Younes Khadraoui
Sam Somashekhar
Paul C. Rowe
Built together, for pushing intelligence further
Put your data to work.
Tell us about your most challenging problem and we'll help you identify the opportunity.