production-ready through
Independent evaluation and training for the AI agent ecosystem. Real-world complexity through simulation environments where agents face multi-hour tasks.
Talk to FounderLarge-scale RL datasets with tuned difficulty distributions. Cheat-proof reward functions. Teach skills scarce in public data (e.g. dependency hell, distributed system debugging).
Measure quality and uncover blind spots. Pick optimal models, tune prompts in a fast-changing world. Benchmark against competitors. Win deals and deliver on performance promises.
Independent verification of what actually works. Design processes based on real capabilities, not marketing hype. ROI-driven deployment decisions. Move from FOMO to measurable P&L impact.
Explore our research on AI agents, benchmarking, and evaluation
We had a great team, $2.5M, and a validated problem. A year later, we sold our IP for parts. Hereโs what we learned about urgency and co-foundership.
Local LLMs prioritize privacy over security. Our research reveals a 95% backdoor injection success rate.
AI excels at clean algorithms but fails at messy, real-world codebases. The solution lies not in Go-like intelligence, but StarCraft-like complexity.
The Quesma database gateway IP has been acquired by Hydrolix to ensure continued support.
Read the announcement.