Not another agent builder. A new way to evolve optimal programs from the computational primordial soup.
discover(task) → optimal_program
Every team faces the same fundamental problems when trying to build reliable AI systems at scale.
Teams spend months tweaking prompts, chasing marginal improvements that rarely translate to production success.
Complex chains of reasoning that work in demos but break unpredictably when faced with real-world edge cases.
As systems grow, the interaction space explodes. Manual testing becomes impossible, and reliability plummets.
Haldane automatically discovers optimal program structures through massive parallel exploration of the solution space.
Specify what success looks like for your AI system - accuracy, latency, cost, or any custom metric.
Our system generates and tests millions of program variations, learning from each iteration.
Get production-ready code that's been battle-tested across your entire problem space.
We believe the future of AI development isn't about crafting perfect prompts or designing elegant architectures by hand.
It's about discovery.
Just as life emerged from the primordial soup through countless iterations and selection, optimal AI programs can emerge from computational exploration at unprecedented scale.
This isn't incremental improvement. It's a fundamental shift in how we build intelligent systems.
Teams using Haldane are shipping AI features faster and more reliably than ever before.
Discovered a novel multi-stage architecture that outperformed hand-crafted solutions by a wide margin.
What used to take a team of engineers over a month now happens automatically in under 72 hours.
Optimized program uses 95% fewer API calls while maintaining accuracy standards.
Join the waitlist for early access to Haldane.