AI is limited by cost, concentration, and energy. We build software-first systems to reduce that cost so researchers, startups, and labs can pursue the boldest questions.
AI’s greatest bottleneck isn’t creativity—it’s economics.
When only the richest can afford to innovate, progress slows and breakthroughs stay locked away.
The current model is unsustainable:
At the same time, advances in distributed computing, orchestration, and resource sharing create a once-in-a-decade chance to flip the economics.
We’re not another cloud or GPU vendor. Kudu Labs builds software-first systems that:
The result: compute that is cheaper, more efficient, and more accessible—without waiting for new hardware breakthroughs.
Making AI cheaper isn’t just about efficiency—it’s about freedom.
We believe intelligence should be a public good: accessible, affordable, and safe. The Kudu Labs manifesto outlines how software systems can change the economics of AI and unlock a new era of discovery.
Cost shapes research. Expensive compute narrows curiosity. We will change incentives by reducing the price of experimentation — freeing researchers to ask bolder questions.
We favor pragmatic, auditable systems: software that improves efficiency, transparency, and long-term safety. Build in public when it helps scrutiny; stay discreet where risks demand caution.
Read manifestoIf you care about research, equity, and long-term impact — join the waitlist or apply to the founding team.