The Agentic Data Co. GTM brain

The Agentic Data Co. collects licensed conversational audio datasets for labs training and evaluating speech models.

category

Speech AI training data

market profile

  • text: The company argues that narrated and synthetic speech misses the interruptions, intent and turn-taking present in real conversation.
  • text: Private datasets span task-oriented calls, accents, multilingual and multi-party conversation and turn-taking evaluation.

personas

  • title: Head of speech model research
    pains:
    • Conversational turn-taking fails despite fluent speech generation.
    • Existing training corpora overrepresent read or performed speech.
  • title: Training data acquisition lead
    pains:
    • Collecting diverse natural conversations at training scale requires recruiting and compensating speakers.
    • Legal teams need documented consent and license terms.
  • title: Voice agent evaluation lead
    pains:
    • Benchmarks fail to represent interruptions, function calls or accented speech.
    • Realistic multi-speaker evaluation data is hard to source.

icp

  • text: Frontier AI labs that train speech or multimodal models and can procure large specialized datasets are the core target.
  • text: Voice agent developers expanding into new languages or task-oriented calls are an adjacent prospect segment; account size is not specified.

message pillars

  • text: Collect naturally occurring conversational speech instead of relying only on performed material.
  • text: Offer consented, licensed and compensated data collection.
  • text: Build datasets for the scale of advanced model training.

objections

  • objection: Public or synthetic speech is cheaper.
    response: Compare real conversational data against existing corpora on interruption handling and turn-taking before committing to a larger purchase.
  • objection: We need reliable rights and demographic coverage.
    response: Review dataset-specific consent, licensing, speaker coverage and collection documentation before contracting.

competitors

  • name: Defined.ai
    website: https://defined.ai/dataset-type/audio
    why: Supplies licensed audio and conversational speech datasets, including custom collection.
  • name: Shaip
    website: https://www.shaip.com
    why: Collects and transcribes speech data for AI model training.

influencers

  • name: Matias Voldby Drejer
    url: https://www.linkedin.com/in/matiasdrejer
    why: Co-founder publicly discusses natural conversation data and voice model limitations.
  • name: Christian Vestergaard
    url: https://www.linkedin.com/posts/chrisvestergaard_feels-unreal-to-say-were-backed-by-y-combinator-activity-7503453300294406144-Xs_t
    why: Co-founder discusses speech training data and evaluations.

keywords

  • conversational speech training data
  • licensed audio datasets
  • voice agent evaluation data
  • multilingual speech corpus
  • turn taking datasets
  • task oriented call data

voice

  • research-oriented
  • confident
  • human-centered

signals

  • text: A lab announces a new speech foundation model or voice agent and needs realistic training or evaluation data.
  • text: A voice team expands into accented or multilingual conversations, creating a data coverage gap.

pricing

model: unknown

motion

hybrid

channels

  • Hugging Face
  • GitHub
  • LinkedIn
  • Discord

confidence

medium

Founders

  • name: Christian Vestergaard
    title: Co-Founder
    role: Founder
    bio: Co-founder of The Agentic Data Company.
  • name: Matias Voldby Drejer
    title: Co-founder
    role: Founder
    bio: Co-Founder at The Agentic Data Company. Prev. Head of Growth & Ops at Female Invest (S21).

Back to YC companies