02PRODUCTS / ML HARNESS
Plan, sandbox, evaluate, and benchmark — locally.
A plug-in-place harness for machine learning work on your machine. It plans the run, builds sandboxes, generates and evaluates data, benchmarks results, and attaches the model you choose — so you get a full local ML loop without building the scaffolding yourself.
02.1STACK
ML Harness layers
Select a plane or legend row to inspect each layer.
02.2DEPTH
What ML Harness runs
Boxes in the loop: plan, sandbox, data, eval — then benchmark honestly.
01 / DEPTH
Plan before burn
Scope the experiment so cycles go to the claim, not the scaffolding.
02 / DEPTH
Eval in the local loops
Engineering and AI loops share isolated runs — verdicts you can replay when models or data shift.
03 / DEPTH
Attach any provider
Local weights or OpenAI-compatible APIs — swap without rebuilding the harness.
04 / DEPTH
Benchmark across setups
Keep the harness fixed while you compare models and configs.
- 01 / SPECSandbox runs with clear eval receipts
- 02 / SPECData generation + benchmarking in one loop
- 03 / SPECAttach local models or your API provider
Get notified when it ships.
Join the waitlist — we will reach out when ML Harness opens.