Asimov GTM brain

Asimov supplies annotated real-world human activity data to robotics teams training humanoid models.

category

Robotics training data

market profile

  • text: Robotics labs need varied real-world demonstrations beyond controlled teleoperation environments.
  • text: Vendors compete on collection environments, modalities, annotation quality and volume.

personas

  • title: Head of robot learning
    pains:
    • Lab demonstrations underrepresent the variety of homes and workplaces.
    • Scaling training data collection distracts researchers from model development.
  • title: Data operations lead at a robotics lab
    pains:
    • Recruiting collectors, distributing hardware and validating recordings are operationally expensive.
    • Training pipelines need consistent annotations and useful hand-object interactions.
  • title: Operations owner at a cleaning or hospitality business
    pains:
    • Labor costs constrain service margins.
    • Recording must fit daily workflows and protect sensitive spaces.

icp

  • text: Humanoid and embodied AI labs building perception or manipulation models with substantial data requirements.
  • text: Data supply partners include cleaning companies, restaurants, hotels and warehouses with repeatable physical work.

message pillars

  • text: Collect diverse activity data in actual human environments.
  • text: Deliver training-ready data without requiring the customer to manage collection operations.
  • text: Capture natural hand and object interaction from a first-person perspective.

objections

  • objection: Will recordings match our model's annotation and task requirements?
    response: Scope a sample for target tasks and inspect pose, depth and segmentation quality before a larger purchase.
  • objection: How are privacy and contributor consent handled?
    response: Review contributor agreements and privacy practices, including exclusions for faces and sensitive spaces, before deployment.

competitors

  • name: Firsthand
    website: https://www.ifirsthand.com/
    why: Collects custom egocentric video datasets for embodied AI.
  • name: Roborecs
    website: https://roborecs.com/
    why: Supplies multimodal human demonstrations for humanoid training.
  • name: Scale AI
    website: https://roboticsmap.org/l/data-aggregation
    why: Offers physical AI collection and annotation services.

keywords

  • robotics training data
  • egocentric video datasets
  • humanoid robot demonstration data
  • human motion datasets
  • embodied AI data collection
  • robot manipulation training data

voice

  • Mission-driven
  • Concrete about collection operations
  • Accessible to nontechnical contributors

signals

  • text: A robotics lab is scaling data acquisition for household or workplace manipulation.
  • text: A data team is seeking first-person video with body pose, depth and task segmentation.

stack

  • Egocentric video
  • 3D body pose
  • depth maps

hiring

  • Data Collection Specialist

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • YC directory
  • partnerships
  • direct sales

confidence

medium

Founders

  • name: Lyem Ningthou
    title: Founder
    role: Founder
    bio: Defense tech robotics researcher → building the data layer for humanoid robotics

Back to YC companies