Building the data engine for embodied intelligence.

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1
Mission

Physical is a research data company for the physical world. Our mission is to accelerate a future where embodied intelligence unlocks physical abundance.

2
Process

We orchestrate physical-world data missions end to end.

i.

Define the mission

Clarify the capability you want to unlock, the environments that matter, and the metrics that prove success.

ii.

Engineer the stack

Design sensor payloads, fixtures, and data pipelines that meet your fidelity requirements without slowing execution.

iii.

Deploy field teams

Mobilize trained crews who set up, calibrate, and start collecting in days—not quarters—anywhere you need coverage.

iv.

Command live operations

Use teleoperation, scripted routines, and rapid feedback loops to steer collection as new scenarios emerge.

v.

Enrich the signal

Run calibration checks, automated QA, and expert labeling to create balanced, high-signal datasets.

vi.

Deliver and scale

Provide secure deliveries, integrations, and refreshes so your models keep improving with every deployment.

Teams pushing embodied AI forward rely on Physical for rapid field execution, diverse scenario coverage, and production-ready data that keeps programs ahead of schedule.

3
Data Platform

Our platform powers fast, high-signal data collection for embodied AI.

Field Ops Network

Mobilize experienced crews, mobile labs, and edge compute to capture RGB, depth, tactile, and telemetry streams aligned with your roadmap.

Hardware & Integration Lab

Prototype custom rigs, fixtures, and calibration routines—and prove they meet spec before they ever leave the lab.

Panoramic rig
Depth alignment
Sync verified
Annotation & Delivery

Combine human expertise and model-in-the-loop workflows for rich labels, validation reports, and delivery packages ready for training pipelines.

RGB VideoMulti-viewDepth MapsLiDARForce DataSemantic MasksTemporal LabelsTelemetry

Partner with Physical to collect the data your models crave

Book a call
01.

Set capture objectives

Align on the model targets, sensor stack, and success metrics that will differentiate your system.

02.

Engineer the solution

We design custom hardware, integration, and teleop workflows to capture the right edge cases at scale.

03.

Capture & iterate

Field teams execute, teleop guides the data, and we loop in your researchers on what's landing.

04.

Deliver & refresh

Receive labeled drops, integration support, and rolling refreshes so your models keep improving. Book a call to scope your next collection.