The Real Robot Data Foundry for Physical AI

A technological disruption in teleoperated data collection, built in Silicon Valley.

Real Robot Data Foundry for Robot Foundation Models
Why Phos PAI

Not All Real Robot Data Is Equal.

CONVENTIONAL LIMIT 01

Unsteady motion during demonstration

Teleoperator-induced
Stalls Hesitations Overshoots
Interface(VR controller · leader arm · joystick)-induced
Unnatural trajectories Jitters Latency
▶
RECJitters & overshoot
PHOS PAI ADVANTAGE 01

High quality robot motion

✓No stalls, hesitations, or overshoots ✓Smooth & natural trajectories
✓No jitters ✓< 5 ms latency
▶
RECPhos PAI's robot motion
CONVENTIONAL LIMIT 02

Task knowledge loss & misinterpretation

Why?
Teleoperator ≠ Annotator
Annotators Infer or Exclude
Teleoperator's intent Time segmentation per subgoal Safety constraints Recovery logic
PHOS PAI ADVANTAGE 02

Task knowledge preservation

How?
Teleoperator = Annotator
✓Accurate subgoal-level intent annotations ✓Accurate time segmentation per subgoal ✓Accurate descriptions of safety constraints and recovery logic
action Move To Pregrasp
safetyRotate the gripper to prevent chemical splashing onto the camera when pouring later.
▶
CONVENTIONAL LIMIT 03

Inconsistent task policies

Different teleoperators choose conflicting actions for the same task.
PHOS PAI ADVANTAGE 03

Consistent task policy

No conflicting actions. Variations are deliberate and useful for physical AI training: objects, environments, trajectories, and manipulation methods.
The Phos PAI edge

Better on cost, delivery speed, and quality

50%
Lower cost
Priced at 50% of standard teleoperation vendor list rates.
24/7
Data Collection
Equivalent to 3 teleoperator shifts per day,
at no additional cost.
✓
Higher-quality training data
Intent descriptions included for every subgoal, at no additional cost.
Bespoke design

What Phos PAI can customize for you

Embodiments
Stationary manipulator
Stationary manipulator
Mobile manipulator
Mobile manipulator
Humanoid
Humanoid
Bring your own hardware
Bring your own hardware
Environments
Residential Commercial Industrial
Tasks & scenarios
Target tasks Edge cases Failure & recovery Safety-constrained behaviors Objects
Data modalities
Video · RGB-D
Video · RGB-D
Tactile · force/torque
Tactile · force/torque
Teleoperation telemetry
Teleoperation telemetry
Quality assurance

Data Inspection Interface

Multi-camera views with time-segmented, demonstrator-authored action annotations

Inspect our delivery in a browsable interface. Overlay the robot's telemetry directly onto the camera views to visually confirm sensor synchronization, and step through the time segmentation and teleoperator-authored intent labels, verifying quality, intent, and subgoal boundaries before the data ever enters training.

Get started

Tell us what custom data you need to teach your physical AI.

Share your tasks, embodiments, and target scenarios.
We'll generate a custom dataset and return a validated sample for your approval.

Book a meeting