Data for the age ofphysical intelligence

We build the infrastructure for advancing intelligence — expert human data, real-world training environments and contextual evaluation for robots and reasoning agents.

Embodied · Reasoning · Evaluation

Built for frontier AI labs

Egocentric capture ✳
Expert human data ✳
Real-world domains ✳
Contextual evaluation ✳
Embodied AI ✳
Egocentric capture ✳
Expert human data ✳
Real-world domains ✳
Contextual evaluation ✳
Embodied AI ✳
01

Intelligence is bottlenecked by data, not compute

Frontier models have consumed the internet. The next leaps come from the physical world and expert human judgment — data that has never been recorded.

02

The best data is captured, not scraped

We record the real thing: first-person task execution, expert reasoning, edge cases. Deliberate capture beats endless collection.

03

Human brilliance sets the ceiling

Every dataset is authored and graded by domain specialists. Their expertise becomes the standard that models are measured against.

The platform

Three engines. One data flywheel.

VisionX/ Egocentric capture

First-person data to train robots that act

We capture high-fidelity egocentric footage of real human tasks — the exact perspective embodied systems learn from. A curated corpus for manipulation, navigation and industrial automation.

Robotics · Coming soon
LabelMatrix/ Precision labelling

Annotation graded by domain experts

Multimodal labelling for vision, language and sensor data — with a human-in-the-loop review layer that turns raw signal into training-grade ground truth.

Data · Multimodal
Nexus/ Expert network

Specialists who build and validate scenarios

A vetted network of hourly experts — accounting, finance, microbiology, zoology, consulting — authoring real-world scenarios and evaluating AI reasoning against their expertise.

Recruitment · Domains
Let’s get on the arc

Let’s build the data
that moves the world.