Training Day focuses on optimizing GPU workloads, CUDA kernels, and agent loops—across the inference stack.
We bring systems optimization and disciplined agent evaluation into the same effort: finding useful changes, testing them carefully, and making the outcome understandable. The value is in the work between an idea and a result you can trust.
Our foundation is local evaluation with results you choose to share. We’re developing it for teams whose next constraint is performance, cost, or confidence in what their agents produce.
Explore the CPU evaluation workbench