Ooak Data GTM brain

Ooak Data supplies realistic reinforcement learning and evaluation environments for AI labs and enterprise agent teams using anonymized company workflows.

category

AI agent training environments

market profile

  • text: Frontier labs need challenging environments that test multi-step work across tools, beyond single-turn benchmarks.
  • text: The supply side includes companies that license operational data for anonymization and training use.

personas

  • title: Head of agent research at a frontier AI lab
    pains:
    • Synthetic exercises may miss the messiness and relationships of real work.
    • Frontier models need tasks that remain challenging as capability improves.
  • title: Enterprise AI engineering lead
    pains:
    • Cannot safely judge an agent's multi-system performance from a single-turn benchmark.
    • Creating a representative evaluation environment and data pipeline takes engineering time.
  • title: Data licensing or operations executive
    pains:
    • Needs to evaluate whether business records can be licensed without revealing proprietary information.
    • Must define exclusions and permitted use before sharing operational data.

icp

  • text: Frontier model labs with reinforcement learning and agent evaluation programs; account size unspecified.
  • text: Enterprise AI teams and startups building agents that execute multi-step work across business tools.
  • text: Companies with rich operational records and authority to license relevant data are potential data partners.

message pillars

  • text: Ground environments in real enterprise data.
  • text: Assess agents on complete work rather than isolated questions.
  • text: Preserve relationships while transforming sensitive details.

objections

  • objection: Can anonymized records still expose sensitive company information?
    response: Review the anonymization process, exclusions, contractual rights and independent security assessment before licensing data.
  • objection: Why not use synthetic simulated companies?
    response: Compare agent results on a representative multi-tool workflow and evaluate whether authentic data adds useful failure cases.

competitors

  • name: Eon
    website: https://www.eon.io/blog/era-build-and-test-ai-agents
    why: Era generates simulated companies for agent training and evaluation.
  • name: Surge AI
    why: Its Corecraft enterprise simulation targets agent reinforcement learning and evaluation.

keywords

  • AI agent training environments
  • enterprise agent evaluation
  • reinforcement learning environments
  • enterprise digital twin AI
  • real world agent benchmarks
  • AI training data licensing

voice

  • Research-led
  • Technical and direct
  • Practical about real-world performance

signals

  • text: A lab is hiring for agent reinforcement learning or evaluation and expanding beyond synthetic benchmarks.
  • text: An enterprise is preparing multi-tool agents for production and needs a realistic predeployment test.

stack

  • Slack
  • Gmail
  • Notion
  • Jira
  • SharePoint
  • Teams

pricing

model: unknown

motion

sales_led

channels

  • research content
  • YC

confidence

medium

Founders

  • name: Pierre-Louis Vouteau
    title: Founder/CEO
    role: CEO
    bio: Cofounder & CEO at Ooak Data (YC S26). Prior COO @Visely (UK ed-tech) ex Gopuff and L'Oréal
  • name: Thomas Aubry
    title: Founder/CTO
    role: CTO
    bio: Founder CTO at OoakData. Previously Head of Data at PayLead, where he led the Data & AI team. Applied ML Scientist at Samsung AI. Earlier co-founded Macro Vision on autonomous vehicles Engineering. Educated at Institut supérieur de mécanique de Paris in Mechatronics and Robotics.

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