# How Rime uses Weights & Biases

**200ms** time-to-first audio token for Arcana

As published on [wandb.ai](https://wandb.ai/site/customers/rime/), July 2025. Captured by usedby on 2026-10-08.

- Company: [Rime](https://www.usedby.ai/companies/rime.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: machine learning engineers

## The use case: how Rime deploys Weights & Biases

Rime logs and tracks every experiment for its text-to-speech models in W&B Models, including loss curves and sample audio as artifacts, to compare checkpoints and decide priorities. The team also uses Sweeps to automate hyperparameter tuning and Custom Views to compare runs.

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

> As a small but growing team of 12, with five machine learning engineers, W&B is our single source of truth for our team to make decisions about where our priorities lie,” continued Clifford. “Did this experiment go well? Let’s refer to W&B.

- **~300ms**: “The technical performance of Arcana has also been impressive, delivering 200ms time-to-first audio token, as well as ~300ms public cloud latency.”
- **100 million**: “Rime recently released Arcana, the world’s most realistic spoken language model now powering over 100 million phone calls per month at some of the world’s biggest enterprises.”

> For every model that we’ve ever trained, W&B has been a part of that process. I would say W&B is a crucial part of the experiment paradigm.
>
> Lilly Clifford, Founder and CEO

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

## Other AI tools used by Rime

- [Baseten](https://www.usedby.ai/tools/baseten.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 200ms 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 Rime.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Rime 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/rime-weights-and-biases · How we check: https://www.usedby.ai/methodology