# How Riskfuel uses Weights & Biases

As published on [wandb.ai](https://wandb.ai/site/customers/riskfuel/), November 2024. Captured by usedby on 2026-10-08.

- Company: [Riskfuel](https://www.usedby.ai/companies/riskfuel.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Teams: Quants, Engineering, DevOps

## What the story says

Riskfuel uses Weights & Biases experiment tracking to monitor and compare model training runs across many client projects, where it builds neural network replicas of derivatives pricing models. The team uses W&B Models and its workspace dashboard to track which models, code and architectures were used and what accuracy they achieved.

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

> W&B is the most robust and scalable way to track multiple machine learning projects, without having to handle a lot of infrastructure about tracking or tagging models,” said Chatigny. “When we have 20 plus+ projects and we want to be able to come back easily to figure out what kind of accuracy we got

> W&B is the most robust and scalable way to track multiple machine learning projects, without having to handle a lot of infrastructure about tracking or tagging models.
>
> Philippe Chatigny, Senior ML Research Engineer

Source: [wandb.ai](https://wandb.ai/site/customers/riskfuel/), captured 2026-10-08.

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the passage quoted above is copied word for word from the page, near the name of Riskfuel.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Riskfuel uses Weights & Biases. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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