# David AI: audio data for speech models

Canonical: https://thelazyweb.com/companies/david-ai/
Breadcrumb: [Home](https://thelazyweb.com/) / [Companies](https://thelazyweb.com/companies/) / [David AI: audio data for speech models](https://thelazyweb.com/companies/david-ai/)
Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

David AI develops audio datasets for speech recognition, translation, synthesis and conversational AI. Its current [homepage](https://www.withdavid.ai/) describes a research process that starts with a model capability, designs the data shape, runs targeted collection, evaluates quality, scales to thousands of hours and releases the dataset. The [YC profile](https://www.ycombinator.com/companies/david-ai) calls the company data for audio AI.

The fit is a speech-model or voice-product team that needs more than scraped audio: diverse conversations, language/dialect metadata, speaker separation and a dataset that is licensed for the intended use. David’s value is in the research loop around data design, not only in the number of hours.

## Why I’d look closer

The public dataset suite is concrete. Converse focuses on natural two-speaker English conversations, Atlas spans 15+ languages with dialect and accent metadata, Chorus covers multi-speaker separation, and Dialog focuses on expert conversations. The site says

[David AI: audio data for speech models](<https://www.thelazyweb.com/companies/david-ai/>)

Source observed: 2026-09-20T02:21:55.983Z. Last checked: 2026-10-08T02:00:44.582+00:00.

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