David AI GTM brain

David AI licenses research-oriented audio datasets to teams building speech and conversational AI models.

category

Audio AI training data

market profile

  • text: Speech model teams need conversational data across languages, speakers and use cases, with evaluation before scaling collection.
  • text: Conversational audio data vendors compete on speech coverage, dialogue format and suitability for model training.

personas

  • title: Speech AI research lead
    pains:
    • Existing recordings do not capture overlapping speech or multi-speaker interaction
    • Needs targeted data to improve specific capabilities rather than more undifferentiated hours
  • title: ML data acquisition manager
    pains:
    • Coordinating large multilingual collections and quality checks
    • Obtaining datasets licensed for the intended model use case
  • title: Conversational AI product engineering lead
    pains:
    • Voice systems struggle with varied accents or natural turn taking
    • Teams need samples to test relevance before committing to a license

icp

  • text: Frontier AI labs, speech research organizations and Fortune 100 companies training voice models; startups are also mentioned in the seed announcement.
  • text: Teams developing speech recognition, translation, synthesis, diarization or speech-to-speech systems with budget for licensed data.

message pillars

  • text: Apply research rigor to the data itself.
  • text: Provide natural conversation recordings for voice models.
  • text: Support multilingual model development.
  • text: Co-design data for novel research needs.

objections

  • objection: Will the recordings match our target use case?
    response: Request samples and assess them against the target language, format and model evaluation before licensing.
  • objection: What if off-the-shelf speech data does not capture the behavior we need?
    response: The company offers to collaborate with research teams on new dataset designs.
  • objection: How quickly can we get data?
    response: The site says off-the-shelf data is made available one to two days after licensing.

competitors

  • name: Defined.ai
    why: Offers multilingual and spontaneous dialogue datasets for speech AI.
  • name: Panels
    why: Collects conversational audio data for voice AI training.

keywords

  • conversational speech training data
  • multilingual audio dataset
  • channel separated speech dataset
  • speaker diarization training data
  • speech to speech model data
  • voice AI datasets

voice

  • Research-led
  • Precise and technical
  • Optimistic about natural voice interfaces

signals

  • text: A lab is training a multilingual or full-duplex speech model and needs natural conversations.
  • text: A voice team is measuring diarization or multi-speaker performance and seeking additional data.

hiring

  • Research roles
  • Engineering roles
  • Operations roles

pricing

model: contact_sales

motion

sales_led

channels

  • Research partnerships
  • LinkedIn
  • X
  • funding announcements
  • SEO

confidence

high

Founders

  • name: Tomer Cohen
    title: Founder/CEO
    role: CEO
    bio: Co-founder and CEO at David AI. Previously, Chief of Staff at Scale AI and Consultant at McKinsey & Company.
  • name: Ben Wiley
    title: Founder
    role: Founder
    bio: Co-founder and CTO at David AI. Previously, at Scale AI - led engineering for Scale’s Public Sector GenAI Platform, Donovan. Before that - SWE at Microsoft.

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