Physical AI Infrastructure

Robots don't fail
in labs.
They fail in the field.

We build the infrastructure that lets machines learn from factories, warehouses, and production environments — not simulations.

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What We Build
01

Real-world training infrastructure

We deploy sensing systems into production environments. Factories, warehouses, construction sites. We capture what simulation cannot replicate — and what your models need to generalize.

02

Closed-loop learning pipelines

Every environment adds signal. Every deployment refines the model. The pipeline doesn't stop at first deployment — it accelerates after it. We built the infrastructure for that cycle.

03

Deployment-ready intelligence

Models trained on our infrastructure are validated against the same environments they'll operate in. No sim-to-real gap. No surprises on the factory floor.

What We Deploy

Sensing systems
in real facilities.

We deploy proprietary multimodal capture units directly into production environments. Each unit captures synchronized RGB, depth, IMU, force, and tactile streams — calibrated and ready for model training.

No lab mockups. No staged demos. These run on factory floors, in warehouses, on assembly lines — wherever the work actually happens.

Capture modes RGB · Depth · IMU · Force · Tactile
Synchronization Sub-millisecond, hardware-triggered
Calibration Cross-modal, auto-recalibrating
Environments Clean rooms to construction sites
Output Annotated, versioned, pipeline-ready
CAPTURE UNIT — NS-MK4 REV 2.3
FRONT VIEW IMU RGB CAMERA 4K · 60fps · HDR DEPTH + IR Stereo · 0.1–10m range 6-AXIS IMU 200Hz · Gyro + Accel UNIVERSAL MOUNT ¼-20 · Clamp · Magnetic SIDE VIEW LENS ASSEMBLY f/1.8 · 120° FOV THERMAL MGMT Passive · -10°C to 55°C DATA OUT USB-C · 10Gbps · PoE 142mm 168mm
NORTHSTAR ROBOTICS NS-MK4 · MULTIMODAL CAPTURE UNIT
How It Works

The learning loop.

The loop runs continuously. A new environment adds signal. A new deployment reveals edge cases. Each cycle makes the model sharper.

01 Production Environment Factory · Warehouse · Field 02 Multimodal Capture RGB · Depth · IMU · Tactile 03 Training Pipeline Annotate · Version · Train 04 Deployed Model Validate · Deploy · Monitor CONTINUOUS FEEDBACK LOOP
Capabilities

Every sensor stream we capture is designed for direct integration into model training pipelines.

Egocentric capture RGB, depth, and IMU — first-person, production-grade
Tactile & force sensing High-resolution contact data during dexterous manipulation
Multimodal synchronization All streams time-aligned, sensor-calibrated, annotation-ready
Environment-agnostic deployment Clean rooms, assembly lines, cold storage, construction sites
Pipeline integration Annotated, versioned, formatted — ready for your training stack
Continuous model iteration New signal folds back into the pipeline without starting over
MULTIMODAL STREAM OUTPUT SYNCHRONIZED
5 MODALITIES · TIME-ALIGNED · SENSOR-CALIBRATED T + 00:42.8
Where We Operate

If humans work there, machines need to learn there.

Manufacturing
Logistics & Warehousing
Agriculture
Construction
Healthcare
Electronics Assembly
Automotive
Pharmaceuticals
DEPLOYMENT — FACILITY SCHEMATIC SITE 04-A
ASSEMBLY — ZONE A S-01 STAGING S-02 QC S-03 PACKAGING — ZONE B S-04 S-05 STORAGE S-06 LOADING DOCK
SENSOR NODE COVERAGE AREA
6 NODES · FULL COVERAGE
Work With Us

We work with AI labs,
hardware companies, and
enterprises deploying physical AI.

If you're building models that need to operate in the real world, talk to us.