Nothing runs without approval
You see the code, the plan, the estimated time and the cost before anything starts.
Describe the experiment you want to run. An AI agent writes the code and shows you the plan, time and cost before anything runs. You approve it, and the results land on your dashboard.
Fine-tune an 8B open model on our support-ticket dataset and compare it with the base model on held-out accuracy.
Here's the plan. The code is ready for review.
Fine-tuned model: 87.4% held-out accuracy, vs 71.2% for the base model. Charts, code and run logs are on your dashboard, ready to share with your team.
The problem
Environments, dependencies, cluster configs, data plumbing, job scripts. Research teams spend significant time on manual setup and configuration instead of research. Spawning Pool removes that overhead.
How it works
Describe what you want to run in plain language: the question, the data, the comparison.
An AI agent generates the code with an execution plan, estimated time and estimated cost for your approval.
Once you approve, the experiment runs in a secure sandbox in your own cloud. Nothing to set up on your side.
Results arrive on a dashboard, ready to share across teams.
Why it is built this way
You see the code, the plan, the estimated time and the cost before anything starts.
Every experiment runs in its own sandbox, isolated from your systems and from other runs.
Experiments run in your cloud account, under your control and on your bill.
Results arrive on a dashboard, ready to share across teams instead of stuck in one notebook.
Leading labs have built this capability internally. We make it available to every research team.
Early access
We're onboarding research teams in small batches. Tell us about yours and the experiments you run, and we'll be in touch.