v2.4 · auto-tune · multimodal · on-prem ready

Build something Trainable.

Describe a prediction problem. Attach data. Trainable writes the model, tunes it, validates it — and ships an API, in minutes.

ready · gpu pool: us-west-2 · a100 · context: 1 dataset attached
Trusted by teams shipping models at
Meridian
ORBITAL/LABS
Northwind°
vertex·ai
Atlas & Co.
PRISM.io

From idea to deployed model,
in three moves.

§ 01 / HOW IT WORKS
01 / INTENT
CSV
Describe the outcome.
Drop the data.

Plain-English intent — a column to predict, an event to forecast, a thing to classify. CSV, Parquet, S3, Postgres, or a live stream. Trainable figures out the rest.

02 / TRAIN
loss 0.0312 ↓ epoch 0 40 loss
Watch it train. Live loss,
live metrics.

Trainable picks candidate architectures, splits your data, runs cross-validation, and auto-tunes hyperparameters. See the loss curve and leaderboard in real time.

03 / DEPLOY
deploy.sh $ trainable deploy churn-v3 → building container... → endpoint: /v3/predict ✓ live · p95 42ms_
Ship as an API.
Or a scheduled job.

One click to deploy behind a versioned endpoint, webhook, batch job, or streaming consumer. Autoscaling, monitoring, drift alerts — already wired in.

A starting point for every problem.

§ 02 / MODEL TEMPLATES

Run at the scale of production.

§ 03 / BY THE NUMBERS
2.4M
Models trained
+18% / mo
180M
Predictions / day
● live
420TB
Data processed
this quarter
95K+
Builders on Trainable
+2.3K / wk