Humyn Labs – AI-powered business insights

Intelligence was never built from a single sense. 
A child learns to catch a ball not by watching it—by hearing it leave the bat, tracking it through space, feeling their feet shift, closing their fingers at exactly the right moment of resistance. Every sense, at once. This is how humans learn: through unified, multi-sensory experiences that compound into physical intelligence. Why should a robot learn any differently?We capture human action across every sense simultaneously and convert it into the fused signal that physical AI learns from. Keeping intelligence real.

The multi-sensory platform for Physical AI.

Sound, sight, mobility, touch. One fused training signal from real world.

THE PROBLEM

The internet was the dataset. That era is closing — and for physical AI, it never opened at all. There is no archive of a kitchen being cleaned. No dataset of a car being assembled by hands that know exactly how much force each joint requires. Physical AI needs structured, multi-sensory recordings of human activity in real environments. One synchronized, fused signal.

Diagram of hiring barriers from unverified credentials and Humyn's verification solution
Diagram of hiring barriers from unverified credentials and Humyn's verification solution
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THE SOLUTION

Transform human experience into episodic training signal for Physical AI

Transform human experience into episodic training signal for Physical AI

  • (01)

    Diversity

    20+ countries. Vietnam · Nigeria · Egypt · S. Korea · India · Brazil. The primary deployment markets for physical AI. Western-trained models have zero exposure to these environments..

  • (02)

    Quality (Fusion Engine)

    Four sensor streams (camera, IMU, audio, kinematics) synchronized at capture—not in post. Sound, sight, mobility, touch become one co-registered fused signal.

  • (03)

    Provenance

    Every data point ships with full traceability: contributor ID, environment, timestamp, hardware serial. Verified on-chain per contributor. This is the defensible layer physical AI data requires.

  • (04)

    Complete Data Infrastructure

    One integrated pipeline. We handle synchronization, validation, processing, QC, and benchmark evaluation—then ship training-ready data in MCAP, RLDS, and LeRobot v3.

THE PRODUCT STACK

We are building the tools. For every stage.

Sourcing to shipping—every stage has a tool, every modality has a tool under it. Validation tools to catch failures invisible to the eye. Processing pipelines to remove noise. Labeling stacks for episodic data structure.

Product Stack features

WHAT WE OFFER

Four Modalities. One Fused Signal.

Diversity. Flexibility. High Fidelity. Provenance.

Sound (Proven)

Sound (Proven)

50,000 hours · 33 languages · in-environment · rare dialects · code-switching. BRIDGE-evaluated. Revenue-generating today.

Sight (Building)

Sight (Building)

10,000 hours · 20+ countries · 6DoF pose · hand-skeletal · IMU/SLAM · episode-level annotation. Discard <15%.

Mobility (Integrating)

Mobility (Integrating)

7-DoF arm kinematics · whole-body pose · joint torque · spatial mapping. Captured via sight pipeline—same rig, same signa.

Touch (The Frontier)

Touch (The Frontier)

Force · resistance · compliance. Teleoperated grippers with sensors—a byproduct of manipulation collection.

See sample datasets

Ready to build on real-world signals?

No budget field. No company-size dropdown. Just tell us what you're building. We will scope your collection needs.