David AI

David AI builds proprietary audio datasets for speech and conversational AI, helping labs and enterprise teams request samples, license data, and design custom audio datasets.

Herramientas de Investigación Minería de Datos IA

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Audio datasets for speech and conversational AI

David AI is an audio data research company that develops proprietary datasets for speech and conversational AI. The site positions audio as the interface it wants to improve, and says the company works with top AI labs and Fortune 100 companies.

Its process is organized around dataset design and validation: identify a capability to unlock, architect the data shape, run targeted collection, evaluate signal quality, scale the dataset, and then publish and continue improving it. The product is therefore best understood as a dataset provider and research partner rather than a software platform.

What David AI offers

Research-driven dataset development

Develops audio datasets using a research-style workflow that moves from hypothesis to design, experiment, evaluation, productionization, and release.

Ongoing dataset improvement

Publishes and maintains datasets over time rather than treating release as a one-time event.

Converse dataset

Provides a flagship English dataset, Converse, built from channel-separated, natural two-speaker conversations across a wide range of topics.

Atlas multilingual dataset

Offers Atlas, a multilingual dataset spanning 15+ languages with dialect and accent metadata in the same format as Converse.

Chorus for multi-speaker audio

Includes Chorus for three-or-more-speaker conversations, originally designed for speaker-separation and diarization models.

Additional proprietary datasets

Includes Dialog, a collection of expert conversations across multiple domains, and notes that additional proprietary datasets are available by request.

Common ways teams use David AI

Train speech-to-speech models
Teams building speech-to-speech systems can use the dataset catalog to find training data designed around natural conversation and voice interaction.
Develop multilingual models
Localization and multilingual AI teams can work with Atlas, which covers 15+ languages and includes dialect and accent metadata.
Speaker separation and diarization research
Researchers working on diarization or speaker separation can use Chorus, which focuses on conversations with three or more speakers.
Evaluate and license datasets
Product teams exploring new voice capabilities can request samples, review fit, and then license off-the-shelf datasets for their needs.
Design new datasets with the company
Labs that need a different data shape can collaborate with David AI to design a custom dataset for a specific audio AI capability.

Pros and Cons

Pros

Clear focus on audio data for speech and conversational AI.
Shows a defined process for creating datasets, from hypothesis through release.
Lists concrete dataset examples with different structures and language coverage.
Supports both off-the-shelf datasets and collaboration on new dataset design.
States that datasets are used by Fortune 100 companies and research labs.

Cons

The site does not publish pricing or a pricing page in the collected sources.
Integration details, output formats, and platform features are not described on the homepage.
Some dataset access and collaboration details are high level, so teams may need to contact the company for specifics.

FAQ

What does David AI do?

David AI describes itself as an audio data research company. It develops proprietary audio datasets for speech and conversational AI rather than a general-purpose software app.

How do you access the datasets?

The company says teams start by requesting samples, then enter a data license agreement for the dataset and use cases they need, and receive access to off-the-shelf datasets within one to two days.

What kinds of teams is it built for?

The homepage says David AI works with speech recognition, translation, synthesis, and conversational AI teams. Its featured datasets are designed for speech-to-speech, multilingual, and voice interaction systems.

Can teams work with David AI on custom datasets?

Yes. The homepage says the company frequently partners with research teams to design new shapes of data for specific use cases.

Is pricing public?

Public pricing details are not shown on the site. The pricing URL in the collected sources returns a 404 Not Found page.

Quick Facts

Category: Audio data research
Primary use: Speech and conversational AI datasets
Website: withdavid.ai
Featured datasets: Converse, Atlas, Chorus, Dialog
Access model: Sample request, license agreement, then dataset access
Pricing: Not public in the collected sources