Nomadic

Summary

About

About Nomadic

Nomadic analyses the multi-sensor records generated by deployed robots, vehicles and infrastructure systems, combining camera footage with LiDAR, radar, telemetry and model outputs in a time-aligned view. Natural-language and behaviour searches segment long recordings into events such as manipulation stages, driving violations, safety incidents and failure modes, with links back to the surrounding sensor evidence.

Teams can filter rare or safety-critical events, trace them to a model or system component and assemble the resulting clips into targeted training and evaluation datasets. Interactive trajectory views expose joint angles, gripper state and end-effector motion for robot runs. Nomadic has applied the platform to open driving, bimanual manipulation, construction and street-imagery datasets, and supports operational workflows in autonomous vehicles, industrial robotics and smart infrastructure.

PRICE
Range 1Y
Return
High
Low
Updated
DATA: KORTHOS

Funding

Investors

  • Jeff Dean - Participant - Angel / Individual - 1 funding event - first seen 2026-03-31
  • Pear VC - Participant - VC - 1 funding event - first seen 2026-03-31
  • TQ Ventures - Lead - VC - 1 funding event - first seen 2026-03-31

Team

  • Mustafa Bal - Co-Founder & CEO
  • Varun Krishnan - Co-Founder & CTO

Resources

Curated durable documents and official technical references.

Timeline

Events

  • 2026-03-31 - Funding - Nomadic raises $8.4M seed led by TQ Ventures

    TQ Ventures led the round, with participation from Pear VC and Google DeepMind chief scientist Jeff Dean, at a $50 million post-money valuation. The capital supports customer onboarding and further development of tools that turn robot and vehicle recordings into searchable training and evaluation data. Nomadic works with Mitsubishi Electric, NATIX Network and Zendar; its software helps engineers find unusual events within large video archives.

    Source
  • 2026-02-16 - Partnership - Nomadic and NATIX announce partnership on searchable multi-camera video data

    NATIX supplies VX360 multi-camera driving footage covering different countries, traffic conditions and rare road scenarios for Nomadic's video-model development. Nomadic's video-understanding tools make the VX360 archive searchable using natural-language descriptions of events and behaviours. The collaboration combines real-world data collection with edge-case discovery and training-data curation for autonomous-vehicle and robotics teams.

    Source

Relations

Relationships

  • NATIX Network

    Technology Partner - NATIX supplies VX360 multi-camera driving footage for Nomadic's video models, while Nomadic makes the archive searchable for edge-case discovery and dataset curation.

  • Hugging Face

    Integration - Nomadic supports Hugging Face Buckets in its UI and SDK for importing robotics video and exporting annotated training data.

Context

Context tags

  • Robotics video data curation platform - Peer Group - https://www.nomadicai.com/ ; https://docs.nomadicml.com/getting-started/quickstart — searchable robot and vehicle video, event review and dataset export.