# How Canva uses Weights & Biases

As published on [wandb.ai](https://wandb.ai/site/customers/canva-model-registry/), April 2024. Captured by usedby on 2026-10-03.

- Company: [Canva](https://www.usedby.ai/companies/canva.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Industry: [Marketing Tech](https://www.usedby.ai/companies/industry/marketing-tech-martech.md)
- Teams: ML Platform

## What the story says

Canva's ML platform team uses Weights & Biases for experiment tracking and uses the W&B Registry as a central hub to move models from experimentation to deployment. The Registry separates production-ready models from experimental ones, and aliases show which model is deployed to production or used for A/B testing.

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

> Using the W&B Registry provided a clear separation between production and experimentation, while aliases made it much clearer for users to understand which model would be deployed to production or to carry out A/B testing.

> Weave enables our engineers to score changes to product features using different LLMs under the hood. This allows them to make an informed decision about which one to use, taking into consideration not just quality but also cost.
>
> Geoff Breemer, Senior MLE

> The W&B Registry simplifies our lives in so many ways. It brings less noise to the user experience, as we are now only seeing models that are production-ready. It stores all the production-level information we need.
>
> Thibault Main de Boissiere, ML Platform Team Lead

## 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 Canva.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Canva 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/canva-weights-and-biases · How we check: https://www.usedby.ai/methodology