Physical AI integration studio · Auburn, WA

Connect Your
Hardware to AI

Physical AI integration for cameras, sensors, intelligent devices, and emerging robotics systems. PhysicAI Labs helps hardware companies connect existing programmable devices to modern AI systems — combining perception, reasoning, constrained action, verification, and logging in a working prototype.

Machine visionEdge AIAgent tooling
Current focusAgent-Ready Device Sprint
01
One device. One loop. One verified action.
StatusPhysical AI integration studio
WhereAuburn, Washington
ThesisOne device. One use case. One working loop.

The big idea

AI systems are ready to reason. Most physical devices are not yet ready to be acted on. PhysicAI Labs builds that bridge.

PhysicAI Labs connects AI intelligence to physical devices and systems — machine-vision cameras, smart sensors, inspection devices, IoT products, scientific and industrial instruments, edge-AI hardware, and emerging robotics.

The work starts with what already exists: a device with an SDK, API, or programmable interface. We build a working sense → understand → decide → act → verify loop around it, one device and one use case at a time.

Core Physical AI loop

Sense. Understand.
Decide. Act. Verify.

One device. One use case. One working loop. PhysicAI Labs builds this loop around a device you already have, using the SDK, API, or programmable interface it already exposes.

01
Sense

Connect the device

Connect the device to observations and structured data.

02
Understand

Add targeted intelligence

Add computer vision, edge AI, or other intelligence where appropriate.

03
Decide

Constrain the agent

Give an AI agent a controlled set of permitted tools or actions.

04
Act

Trigger one action

Trigger one permitted physical or software action.

05
Verify

Confirm and log

Confirm that the expected result occurred and record what happened.

The offer

$3,500

Agent-Ready
Device Sprint

A focused Physical AI proof for one existing product — technical validation, not production robotics engineering.

01 / What you provide

One device. One use case. One permitted action.

You provide one existing programmable device, one use case, and one permitted action. PhysicAI Labs builds the working sense → decide → act → verify prototype around it.

One deviceOne use caseOne permitted action
02 / What you get

Everything needed to evaluate it.

Integration source code, device/AI architecture, a constrained agent and tool layer, verification of the resulting action, an audit trail, a technical gap assessment, a production-readiness roadmap, and a recorded technical walkthrough.

Source codeAudit trailRoadmap
Founding engagement$3,50050% to begin
03 / Built for validation

Built for validation, not production.

The Sprint is built for technical validation, customer demonstrations, early product exploration, design-in feasibility, and Physical AI integration proof — not safety-critical or production robotic-arm engineering.

Who we work with

Built for hardware
companies, not consumers.

If your product already has an SDK or API and you're exploring how it fits into robotics, edge AI, or agentic systems, we'd like to hear from you.

Machine-Vision Cameras
Smart Sensors
Inspection Systems
IoT & Connected Devices
Scientific & Industrial Instruments
Edge-AI Products
Emerging Robotics Hardware

Field Notes

Build in public.
Think in public.

Working notes on Physical AI experimentation, device integration, and building in public — real technical work, not generic AI commentary.

Field note 01Point of view

AI Agents Are Leaving the Browser: What Physical AI Means for Hardware Companies

Publishing soon
Build log 01In the lab

Building Bench-1: My First Sense → Decide → Act AI System

Publishing soon
Research 01Working thesis

From Device SDK to AI Agent

Publishing soon
Field note 02Field notes

What Makes Hardware Agent-Ready?

Publishing soon
Research 02Research

What ROS2 Actually Adds to Physical AI

Publishing soon
Field note 03Point of view

What Emerging Hardware Standards Could Mean for Device Manufacturers

Publishing soon

How we work

01

One device, one loop.

We start with a device you already have and prove one working sense-to-verify loop before talking about anything bigger.

02

Evidence before assertion.

Every action gets verified and logged. If it didn't happen, we don't say it did.

03

Validation, not production robotics.

The Sprint is a technical proof — not safety-critical control, custom firmware, or a production deployment.

Get started

Where AI Meets
the Physical World

Have a programmable device you're trying to connect to AI, edge intelligence, or robotics? Let's examine one concrete use case.

Start a conversation

Have a device to connect?
Let's find the use case.

Tell us about the device, the use case, and the action you'd want an AI agent to take. Send a note, or schedule a focused conversation.

Your information is used only to respond to your inquiry.