Model training for everyone
Train custom AI models from plain English.
RailCompute turns a simple description into a complete training run: data prep, model choice, compute setup, evals, delivery, and a plain-language report.
Private beta is being built
Still in build stage.
We are shaping the agent, training flow, and delivery experience with early users before opening access more widely.
How it works
Human intent in. Trained model out.
Describe
Tell RailCompute what the model should do and answer a few focused questions.
Approve
Review the training plan before compute starts.
Train
The agent prepares data, picks the model, runs training, and monitors progress.
Receive
Get the model, eval summary, and a usage guide written for non-technical teams.
Data preparation
Cleans, formats, labels, validates, and uploads the dataset before training begins.
Training decisions
Selects model family, hyperparameters, eval split, target metric, and compute.
Live reporting
Tracks loss, ETA, failures, checkpoints, and final quality in language humans understand.