# How Dialpad uses Labelbox

**41%**: “a 41% reduction in costs required to generate high-quality signals for model improvement”

As published on [labelbox.com](https://labelbox.com/customers/dialpad-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Dialpad](https://www.usedby.ai/companies/dialpad.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)
- Teams: Data Annotation and Testing

## What the story says

Dialpad uses Labelbox to produce labeled training data for its NLP and LLM products, which handle transcription, summarization, and sentiment analysis. It switched from a crowdsourced annotation provider to get higher-quality labels with less involvement from its own data scientists.

Summary written by usedby from the source page, in English. The figures are those of Labelbox and Dialpad, not ours.

> After a year on Labelbox, Dialpad saw a 20% improvement in signal quality and a 41% reduction in costs required to generate high-quality signals for model improvement.

- **20%**: “After a year on Labelbox, Dialpad saw a 20% improvement in signal quality”
- **48%**: “This year with Labelbox, it’s down 48% to only 15 cents per data point.”

> Our data scientists were less proactive about requesting labeled data because they knew how much effort it was going to be and how much pain it was going to cause,
>
> Anne Paling, Manager of Data Annotation and Testing at Dialpad

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 41% is printed word for word on the page, near the name of Dialpad.
- Checked: the passage quoted above is copied word for word from the page, near the name of Dialpad.
- Checked: Dialpad uses Labelbox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/dialpad-labelbox · How we check: https://www.usedby.ai/methodology