# How Decart uses Weights & Biases

As published on [wandb.ai](https://wandb.ai/site/customers/decart/), June 2026. Captured by usedby on 2026-10-03.

- Company: [Decart](https://www.usedby.ai/companies/decart.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)

## What the story says

Decart uses W&B Models to track every training experiment for its Oasis 3 world model, run hyperparameter sweeps, and version datasets, checkpoints, and model outputs with Artifacts. Lineage tracking and access controls give an audit trail of which data, code, and checkpoints produced the served model.

Summary written by usedby from the source page, in English. The figures are those of Weights & Biases and Decart, not ours.

> Every training experiment, from early architecture explorations to final large-scale runs, was tracked in one place. Sweeps accelerated hyperparameter optimization, while Artifacts versioned datasets, checkpoints, and model outputs so any result could be traced to the exact data and configuration that produced it.

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the passage quoted above is copied word for word from the page, near the name of Decart.
- Checked: each number in our summary is printed on the page.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Decart uses Weights & Biases. Confirmed line. Latest check across sources: 2026-10-03.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/decart-weights-and-biases · How we check: https://www.usedby.ai/methodology