David AI
David AI is an audio data research company that designs, collects, and licenses proprietary multilingual audio datasets for training speech-to-speech and conversational AI systems, serving Fortune 100 enterprises, Mag 7 tech companies, and leading AI labs through direct enterprise sales.
- Company typePrivate
- Founded2024
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What David AI does
David AI is an audio data research company founded in 2024 by a team that previously worked together at Scale AI. The company designs, collects, and licenses proprietary audio datasets used to train speech-to-speech, multilingual, and voice-interaction AI systems. Its product suite consists of four named datasets — Converse (channel-separated English two-speaker conversations), Atlas (multilingual dataset spanning 15+ languages with accent and dialect metadata), Chorus (three-or-more-speaker conversations for diarization), and Dialog (expert conversations across domains) — supplemented by additional proprietary datasets not publicly listed. The company claims to hold the largest corpus of channel-separated speech data on the market at roughly 10x the size of the next largest comparable dataset.
The underlying technology is a research-driven pipeline purpose-built for audio: novel software, hardware, and operations designed for 1000x-scale collection of studio-grade channel-separated speech that preserves microphone, environment, and localization properties. The process follows a six-stage methodology — Hypothesize, Design, Experiment, Evaluate & Iterate, Productionize, Release — that measures dataset impact on downstream model training rather than relying on data-quality proxies alone.
David AI operates a sales-led enterprise GTM: prospective customers submit a website contact form, complete a discovery call, receive samples, and negotiate a custom data license agreement. Off-the-shelf datasets are granted within one to two days; bespoke datasets are delivered through research partnerships. The customer base spans Fortune 100 companies, several of the Mag 7 tech firms, and most leading AI labs. The company has raised $80M across three disclosed rounds — a $5M Seed (January 2025, First Round Capital), $25M Series A (May 2025, Alt Capital and Amplify Partners, with Jack Altman joining the board), and $50M Series B (October 2025, Meritech with NVIDIA participating) — and reported an eight-figure annual revenue run rate as of the Series A.
David AI firmographics
Firmographics- Name
- David AI
- Legal name
- David AI Labs, Inc.
- Website
- https://withdavid.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- David AI is an audio data research company that designs, collects, and licenses proprietary multilingual audio datasets for training speech-to-speech and conversational AI systems, serving Fortune 100 enterprises, Mag 7 tech companies, and leading AI labs through direct enterprise sales.
- Ownership category
- akta.pro rank
David AI industry classification
Industry- Product category
- AI Training Data (Audio Datasets)
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Conversational AI Platforms (chat/voice bots, orchestration) (HDAAAFAC)
- akta.pro secondary industry
- Contact Center Speech AI (agent assist, IVR automation) (HDAAAFAL)
Keywords
Where David AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
David AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Revenue model
- Dataset licensing: Customers enter into a data license agreement for a specific dataset and approved use cases. Off-the-shelf datasets are delivered within one to two days of license execution; bespoke datasets are produced via research partnership engagements.
- Custom dataset design services: Bespoke audio dataset design and collection for specific customer use cases, delivered through research partnerships that go beyond off-the-shelf catalog offerings.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Pay-as-you-go | Custom data license agreement priced per dataset and use case |
Go-to-market motion3 records
Distribution channels2 records
Marketing channels5 records
David AI product offering
Product offeringCore offering
David AI designs, collects, and licenses proprietary audio datasets for training speech-to-speech, multilingual, and conversational AI systems. Its named dataset suite — Converse (English two-speaker conversations), Atlas (15+ language multilingual conversations with dialect and accent metadata), Chorus (multi-speaker conversations for diarization), and Dialog (expert conversations across domains) — is delivered to enterprise customers and AI labs via data license agreements, with off-the-shelf access granted within one to two days and bespoke datasets produced through research partnerships.
Product overview
David AI is an audio data research company offering a platform-plus-modules portfolio of proprietary audio datasets designed for speech-to-speech, multilingual, and voice interaction AI systems. The platform consists of named datasets — Converse (English two-speaker conversations), Atlas (multilingual 15+ language conversations with dialect/accent metadata), Chorus (multi-speaker conversations for diarization), and Dialog (expert conversations across domains) — plus additional proprietary datasets not publicly listed. Together these datasets form the "data layer for audio AI" that the company sells to Fortune 100 companies and leading AI labs through direct data license agreements rather than a self-serve API.
Differentiator
Problem solved
Functional benefit
Brands
- Converse: Flagship English audio dataset of channel-separated, natural two-speaker conversations spanning a wide range of topics.
- Atlas
- Chorus
- Dialog
Products and services
- Converse Flagship English-language audio dataset of channel-separated, natural two-speaker conversations spanning a wide range of topics, used by enterprise customers and AI labs to train speech-to-speech and conversational AI systems.
- Atlas Multilingual audio dataset spanning 15+ languages with metadata on dialects and accents, following the same channel-separated conversation format as Converse. Designed to capture multilinguality, accents, and dialect variation for audio AI training.
- Chorus Audio dataset of conversations involving three or more speakers, originally designed for training speaker-separation and diarization models.
- Dialog Collection of expert conversations across a range of domains, intended to support domain-specific voice and conversational AI training.
- Custom Audio Dataset Design & Research Partnership Bespoke audio dataset design and collection service delivered through research partnerships with customer research teams, allowing customers to outsource the design and production of audio data for specific model capabilities rather than relying solely on off-the-shelf datasets.
Quantifiable outcome
- 8-figure annual revenue run rate achieved within less than a year of founding
- +3 more outcomes
Companies that use David AI
Customer profileSegments3 records
Ideal customer profiles3 records
David AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability2 records
Feature5 records
David AI partnerships and signals
Strategic signalScale indicators8 records
Recent moves5 records
Expansion highlights5 records
David AI competitors and assessment
Company assessmentDirect peers
- Scale AI: Largest AI training-data company, offering data labeling and evaluation services across modalities (including audio) to the same Mag 7 and frontier AI lab customer base. David AI's founders came from Scale AI, and the two compete head-to-head for high-end audio and broader AI data budgets.
- Surge AI: High-quality data labeling platform focused on frontier-model training data, including RLHF and specialized datasets. Competes with David AI for the same enterprise AI lab budgets and emphasizes premium data quality and research-driven dataset design.
- Labelbox: Data-centric AI platform combining labeling tooling, workforce, and dataset management for AI teams. Comparable to David AI in selling into enterprise AI teams that need structured training data and model-evaluation workflows.
- Snorkel AI: Data-centric AI company whose programmatic labeling and weak-supervision approach competes for the same enterprise 'training data is the bottleneck' budget that David AI addresses, particularly with research-led AI teams.
- Defined.ai: Marketplace and provider of off-the-shelf and custom AI training datasets, including speech and conversational audio, with a similar licensing-based revenue model to David AI and overlapping enterprise customers.
Broad incumbents
- Appen: Long-standing public-market incumbent in training data, offering annotated datasets across speech, text, and image. Provides a broader, more generalist alternative to David AI's audio-specialist offering for enterprises that want a single multi-modal vendor.
- TELUS International (Lionbridge AI): Large enterprise data annotation and AI services provider (post Lionbridge AI acquisition) serving many of the same Fortune 100 buyers. Competes on breadth and global workforce scale rather than audio specialization.
Emerging players
- Rev: Audio-first company offering transcription and speech datasets with a marketplace of human contributors. Has a comparable speech-data collection operation, though it has historically skewed toward transcription rather than conversational training data.
- Deepgram: Speech recognition AI company that itself consumes large volumes of audio training data and could be both a customer and a partial competitor to David AI in the audio AI value chain.
- ElevenLabs: Frontier voice AI lab building speech synthesis and conversational voice products, which depends on high-quality multilingual audio training data — a direct customer archetype for David AI and a useful proxy for downstream demand.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
David AI social profiles
Digital presenceDavid AI compliance and trust
Trust signalCompliance1 record
David AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
David AI leadership team
Management profileNumber of profiles
Profiles6 records
David AI funding detail
Funding detailFunding overview
Funding rounds4 records
Investors12 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
David AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about David AI
What does David AI do?
David AI designs, collects, and licenses proprietary audio datasets for training speech-to-speech, multilingual, and conversational AI systems. Its named dataset suite — Converse (English two-speaker conversations), Atlas (15+ language multilingual conversations with dialect and accent metadata), Chorus (multi-speaker conversations for diarization), and Dialog (expert conversations across domains) — is delivered to enterprise customers and AI labs via data license agreements, with off-the-shelf access granted within one to two days and bespoke datasets produced through research partnerships.
Is David AI a public or private company?
David AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was David AI founded?
David AI was founded in 2024. It employs 11 to 50 people.
Where is David AI based?
David AI is headquartered in San Francisco, United States, in the North America region.
How does David AI make money?
Two revenue lines are on record. Dataset licensing is the primary driver. The others are custom dataset design services.
Who are David AI's main competitors?
Direct peers on record are Scale AI, Surge AI, Labelbox, Snorkel AI and Defined.ai. Broad incumbents are Appen and TELUS International (Lionbridge AI). Emerging players are Rev, Deepgram and ElevenLabs.
Does David AI have an API?
No public API is recorded for David AI.
What industry is David AI in?
David AI's product category is AI Training Data (Audio Datasets). Its primary akta.pro industry code is HDAAAFAC, Conversational AI Platforms (chat/voice bots, orchestration), with a secondary code of HDAAAFAL, Contact Center Speech AI (agent assist, IVR automation). Its NAICS code is 541511 and its SIC code is 7370.