# How M-KOPA uses Weights & Biases

As published on [wandb.ai](https://wandb.ai/site/customers/m-kopa-transforms-their-model-management-workflow-with-wb/), October 2023. Captured by usedby on 2026-10-08.

- Company: [M-KOPA](https://www.usedby.ai/companies/m-kopa.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Teams: Data Science, ML, Product Management, Credit

## What the story says

M-KOPA's data science team uses the Weights & Biases Model Registry as a central hub to track, promote and audit production forecasting and credit-related models. Protected aliases and role-based access controls manage promotion from challenger to QA to production.

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

> Today, the entire process is managed through W&B Registry, via Protected Aliases. Protected aliases represent key stages of the M-KOPA model development pipeline – such as staging, QA, Challenger, or different model version numbers.

> Using the W&B Model Registry for model promotion has been extremely useful. Having the full history of the model available also makes it very easy for other departments – like product management – to help manage the deployment process.
>
> Benedict Eugine, Data Scientist

Source: [wandb.ai](https://wandb.ai/site/customers/m-kopa-transforms-their-model-management-workflow-with-wb/), 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 M-KOPA.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: M-KOPA 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/m-kopa-weights-and-biases · How we check: https://www.usedby.ai/methodology