Why We Exist
The AI industry needs domain experts. Not more CS graduates—but scientists and engineers who can apply machine learning to problems that actually matter.
The Thesis
The AI industry has a talent bottleneck, but it’s not where most people think. There is no shortage of computer science graduates who can train a model on MNIST. The shortage is in people who understand real-world domains—materials science, biology, physics, chemistry, engineering—and can wield machine learning as a tool within those domains.
These people already exist. They graduated with strong mathematics, scientific rigour, and systems thinking. They don't need to abandon their discipline—they need to become AI-enabled within it. The path to AI fluency for a strong STEM graduate is short—but nobody is building it at the right scale or the right price point.
This programme is that bridge. Angel investing for human capital.
What Makes Us Different
No existing programme combines all five of our properties: STEM AI-enablement, micro-stipend, tiered commitment, global reach, and venture framing.