Millimeter ground truth for physical AI.

Train reinforcement-learning policies, manage drift, and deploy robots in the industrial world.

Get the white paper

Talk to our engineers

1

Accuracy

<1

LATENCY

30

RANGE

50

Synchronization

PHYSICAL AI · TRAINING DATA

Robot dexterity needs physical ground truth.

The next frontier in robotics will not be limited by models alone. It will be built on machines that understand and interact with the physical world.

Ground-truth motion data, collected in the real world. For training, calibration, validation, and deployment.

ACCURACY, DEMONSTRATED

Bring Lab MoCap to the Industry.

The same motion, captured two ways. AAA resolves a dense, high-rate point cloud locked to ground truth. Legacy motion capture is sparser, slower, and drifts off the real path.

LIVE CAPTURE · subject: humanoid · ground truth overlaid

240 fps / 30 fps

AAA

Dense cloud · 100 fps · <1 ms. Every joint tracked to 1 mm and locked to the real motion. No drift, no smear.

Legacy mocap

Sparse points · ~30 fps · lag. Fewer frames, centimeter error, visible drift from ground truth.

PRECISION DEMONSTRATED

Do you know the difference?

Precision

Measurements stay tightly grouped, delivering highly repeatable results—even when they’re offset from the true position.

Accuracy

Measurements are centered on the true position, even if individual readings vary.

AAA

AAA combines repeatable precision with true spatial accuracy—keeping every measurement both consistent and correct.

Engineered for precision

A radio-frequency mesh with a shared zero.

Sensors talk over radio frequency.
No line of sight required. It works in dust, darkness, fog and reflective spaces where cameras fail.
A relative zero between every node.
Sensors lock to a shared reference, so position is measured directly, not estimated frame by frame.
Interference engineered out.
The AAA approach removes the multipath and noise that cap standard localization at centimeters.
Sub-millisecond and repeatable.
Closed-loop-ready data that reproduces the same reading every time.

Application · ROBOTIC CALIBRATION

While robots drift, accuracy has to stay absolute

Precision starts to drift

Every sensors drifts by nature. Encoders, IMUs, cameras, and kinematic models all accumulate small errors over time — until precision becomes uncertainty.

Ground truth in real time

AAA provides an ultra-accurate external ground-truth layer for real-time calibration, helping robots continuously correct their position, motion, and relative geometry while operating in the real world."

Autonomous mobile robots

Precise docking, handover and fleetcoordination in busy industrialspaces.

Industrial robotics

Direct spatial measurement forcalibration and tool alignment.

UAVs & drones

Reliable positioning and docking in
GPS-denied environments.

Humanoid robotics

Real-time self-calibration and
physical grounding, from demos to
deployment.

The new standard

One row stands apart.

~100× tighter

than standard UWB (cm-class)

10× lower

latency than vision systems

~70% less

system cost than vision / lidar

System

Accuracy

Latency

Reliability

Relative cost

All About Accuracy

ACCURACY

~1 mm

LATENCY

<1 ms

RELIABILITY

High

RELATIVE COST

LiDAR SLAM

ACCURACY

5-10 mm

LATENCY

~10 ms

RELIABILITY

Medium

RELATIVE COST

$$$$

Standard UWB

ACCURACY

+10-30 cm

LATENCY

~1 ms

RELIABILITY

Medium

RELATIVE COST

WiFi / Bluetooth

ACCURACY

1-5 m

LATENCY

>100 ms

RELIABILITY

Low

RELATIVE COST

Physical AI · reinforcement learning

The cleanest reward signal in real-world robotics.

AI is only as good as the state it learns from. AAA gives policies millimeter ground truth in the physical world and captures it live. Robots train, self-correct, and stay drift-free in reality, not just in simulation.

RL in real environments

1 mm state ground truth

<1 ms reward latency

drift-free deployment

Cost

Vision-grade precision, without the vision-grade price.

One RF chip replaces camera arrays and lidar rigs. A fraction ofthe bill of materials, and far less to integrate, calibrate andmaintain. Significantly cheaper, at higher accuracy.

Lidar + compute

$$$$

Camera array

$$$

UWB anchors

AAA · one RF chip

White paper

Inside the millimeter: the data layer behind Physical AI

Request the white paper to understand why Physical AI is creating a new demand for scalable, high-fidelity real-world data — and why ground-truth sensing may become a critical infrastructure layer for robotics, simulation, and industrial AI.

Claim whitepaper for free

Discover the sensing layer behind scalable Physical AI.

Get the white paper

Talk to our engineers

Millimeter ground truth for physical AI.

1

<1

30

50

Robot dexterity needs physical ground truth.

Ground-truth motion data, collected in the real world. For training, calibration, validation, and deployment.

Bring Lab MoCap to the Industry.

Do you know the difference?

Precision

Accuracy

AAA

A radio-frequency mesh with a shared zero.

Sensors talk over radio frequency.

A relative zero between every node.

Interference engineered out.

Sub-millisecond and repeatable.

While robots drift, accuracy has to stay absolute

Precision starts to drift

Ground truth in real time

Autonomous mobile robots

Industrial robotics

UAVs & drones

Humanoid robotics

One row stands apart.

~100× tighter

10× lower

~70% less

The cleanest reward signal in real-world robotics.

Vision-grade precision, without the vision-grade price.

Inside the millimeter: the data layer behind Physical AI

Discover the sensing layer behind scalable Physical AI.