# How Square uses Weights & Biases

As published on [wandb.ai](https://wandb.ai/site/customers/square-brings-conversational-ai-to-businesses-of-all-sizes-with-wb/), October 2023. Captured by usedby on 2026-10-08.

- Company: [Square](https://www.usedby.ai/companies/square.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: Machine Learning, AI Engineering

## What the story says

Square's ML team uses Weights & Biases to store training data and models for its conversational AI tools, version and tag models as they move from shadow to challenger to champion, and track dataset and model lineage with Artifacts. The team also uses Reports to share experiment results.

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

> With Artifacts, Square knows exactly which datasets are used to create their models—without second guessing or asking others.

> Now when we train, we don’t talk to S3. We don’t need to know details about where it’s stored. We just talk to the Artifacts registry and we can track the lineage for everything,
>
> Ethan Rosenthal, AI Engineering Manager

Source: [wandb.ai](https://wandb.ai/site/customers/square-brings-conversational-ai-to-businesses-of-all-sizes-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 Square.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Square 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.

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