Founded in 2024 by ex-Scale AI leaders Tomer Cohen and Ben Wiley, David AI is building the data layer for the voice era. The company produces high-quality, diverse audio datasets that capture the real-world range of human speech across languages, accents, emotions, and acoustic environments. Off-the-shelf datasets include Converse (natural two-speaker English conversations with channel separation), Atlas (multilingual, accented, and dialect-rich audio), Chorus (multi-speaker dialogues for diarization), and Dialog (expert domain conversations). David AI raised roughly $80M across three rounds in under a year, capped by a $50M Series B led by Meritech Capital with participation from NVIDIA.
David AI
ActiveThe data layer for next-generation audio and voice AI models
Total raised
$80M
3 rounds
Stage
Seed
Team
11-50
since 2024
Pricing
Freemium
free plan
Founded
2024
San Francisco, United States
Agent-ready
—
Converse: two-speaker English conversation data
Atlas: multilingual, accented, dialect-rich audio
Chorus: multi-speaker diarization datasets
Dialog: expert-domain conversation data
Channel-separated and labeled audio
Custom dataset collection on demand
Emotion and acoustic-environment diversity
Licensed, rights-cleared audio data
10/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
— Seed $5M incl. First Round Capital
— Series A $25M incl. Alt Capital +1
— Series B $50M incl. Meritech Capital +1
Capital network
$80M raised ·5 backers·10 network links
- Backers5
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What does David AI do?
- It builds high-quality, diverse audio datasets to train speech and conversational AI models.
- Who founded David AI?
- Tomer Cohen and Ben Wiley, both formerly of Scale AI, founded it in 2024.
- How much has David AI raised?
- About $80M across seed, Series A, and a $50M Series B led by Meritech with NVIDIA.
- How do I access David AI data?
- Through a request, sample, license-agreement, and data-access process with the company.
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