Original Research
Pushing the boundaries of machine intelligence through original research and open collaboration.
Focus Areas
Foundation Model Optimization
We’re constantly finding better ways to train. Our research focuses on making fine-tuning and inference more efficient, so you can run powerful models on standard workstations or even edge devices.
Autonomous Swarm Engineering
We aren't just augmenting developers; we're rebuilding the lifecycle. Our massively parallel swarm system positions agents as the primary contributors. This agent-first approach drives down costs while strictly enforcing first-principle engineering standards for large-scale enterprise quality.
Cognitive Architecture
We're expanding beyond standard Transformers. By mixing different neural networks with custom MCPs, we're building systems that mimic human associative memory to overcome context limits. It's the intersection of psychology and computer science—learning from the human experience to build better AI.