# How Scaled Cognition uses Weights & Biases

**114%** higher accuracy than the best-performing

As published on [wandb.ai](https://wandb.ai/site/customers/scaled-cognition/), May 2026. Captured by usedby on 2026-10-08.

- Company: [Scaled Cognition](https://www.usedby.ai/companies/scaled-cognition.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)
- Teams: Research

## The use case: how Scaled Cognition deploys Weights & Biases

Scaled Cognition uses the Weights & Biases Python SDK as the observability layer for training its own LLMs. It logs every training run, tracks custom loss functions and accuracy metrics, and monitors GPU system resources in live dashboards.

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

> Tracking these novel losses alongside system health metrics in a unified, live dashboard has shortened the feedback loop between experiment design and insight.

> It was neat and easy to integrate \[using the Weights & Biases Python SDK\],” said VP of Research Anthony Platanios. “The Python SDK is very straightforward and the W&B platform provides useful and detailed monitoring for our training jobs — that’s why we started using it.
>
> Anthony Platanios, VP of Research

Source: [wandb.ai](https://wandb.ai/site/customers/scaled-cognition/), captured 2026-10-03.

> It was neat and easy to integrate. The Python SDK is very straightforward and the W&B platform provides useful and detailed monitoring for our training jobs—that's why we started using it.
>
> Anthony Platanios, VP of Research

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

## Other AI tools used by Scaled Cognition

- [Baseten](https://www.usedby.ai/tools/baseten.md) — Confirmed
- [Together AI](https://www.usedby.ai/tools/together-ai.md) — Confirmed

## Weights & Biases users in Artificial Intelligence

- [Aleph Alpha](https://www.usedby.ai/companies/aleph-alpha.md) — Confirmed
- [Bytefuse](https://www.usedby.ai/companies/bytefuse.md) — Confirmed
- [Captur](https://www.usedby.ai/companies/captur.md) — Confirmed
- [Cohere](https://www.usedby.ai/companies/cohere.md) — Confirmed
- [Decart](https://www.usedby.ai/companies/decart.md) — Confirmed
- [Inverted AI](https://www.usedby.ai/companies/inverted-ai.md) — Confirmed

## What usedby checked

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

- Checked: the figure 114% is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Scaled Cognition.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Scaled Cognition uses Weights & Biases. Confirmed line. Latest check across sources: 2026-10-24.
- Not checked: the result itself. We quote it; we did not measure it.

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