Millions of ordinary objects — a mug, a chair, a doorknob — become valuable training data that teaches AI how the physical world actually works.
Automatic labeling and reconstruction turn raw footage into precise annotations — bounding boxes, object classes, depth and spatial context, on every frame.
Each interaction is captured across modalities and rebuilt in three dimensions — a complete, machine-readable record of how objects exist and move.
Raw visual information is transformed into machine-readable representations — dense vectors that carry the meaning of every scene into the model.
Our lightweight wearable continuously records real-world interactions, creating high-quality datasets directly from everyday life — hands-free, all day.
A wide-angle lens, depth sensors, IMU and on-board processing — integrated into a housing you forget you are wearing.
Millions of real-world interactions become the foundation for smarter AI systems — every point below is an object, a movement, a moment of understanding.
Every object. Every movement. Every interaction. Captured through a lightweight wearable camera to build smarter AI.
Partner with AnantIQ to train your models on what matters — how the physical world really looks, moves and behaves.