Physical AI Infrastructure
The nervous system for physical AI.
PhyStack connects the models that think to the hardware that acts. Point an agent at a building it has never seen, and in minutes it is watching the cameras and running the machines.
Live across the network
Spaces
Physical AI is already here.
You just haven't noticed it yet.
Construction Sites
Watches everyone's back so nobody has to.
Factories
Catches defects the human eye can't.
Farms
Waters only what's thirsty.
Hospitals
Watches over every patient so nurses can focus.
Hotels
Adjusts the room before you ask.
Offices
Breathes, dims, and heats itself.
Restaurants
Predicts the rush before the first order hits.
Stadiums
Sees what 50,000 people are carrying.
Stores
Knows what you grabbed before you reach the register.
Streets
Reads traffic faster than any human could.
Transit Hubs
Knows who you are before you reach the gate.
Warehouses
Shelves come to you, not the other way around.
Problem
The intelligence exists.
The hardware is shipping.
The connection is missing.
Problem 1
Unaware.
AI can write novels and pass bar exams. The building you're sitting in can follow rules. If motion, then light. If 6pm, then lock. But following rules isn't thinking. The intelligence exists. Deploying it takes multiple vendors, many months, and a small fortune. 58% of companies already use physical AI. Only 3% have fully deployed it.
Problem 2
Fragmented.
The few who do deploy end up stitching together point solutions. One vendor for the edge OS. Another for fleet management. A third for analytics. A fourth for device control. Each speaks its own protocol. Every seam is stitched by hand. Each has a different dashboard. When something breaks, they all blame each other.
Problem 3
Siloed.
Even when systems are deployed, they can't talk to each other. The badge system knows you're in the building. The calendar knows your meeting ended. The keyboard knows you're typing. The lights turned off anyway. Because nobody told them. Every system did its job. The space still failed you.
Solution
PhyStack wires the brains to the bodies.
Every device, speaking one language.
Runtime
The reflexes. PhyOS runs on edge gateways, robots, drones, kiosks, and screens. Intel, ARM, NVIDIA. Flash it, boot it, and it joins your fleet in minutes. Containers, GPU inference, and OTA updates with rollback come built in, so the same runtime ships everywhere.
Fleet
The signals. Manage one device or ten thousand from one place. A living model of every device keeps its state in sync. Each device keeps running locally when the cloud is unreachable. Multi-tenant, multi-region, built for operators who manage spaces across countries.
Data
The senses. Every sensor, every camera, every signal feeds into one analytics layer. Real-time dashboards, historical queries, and alerting rules sit on top. Understand what's happening across your entire fleet without stitching together three different tools, each with its own dashboard.
Control
The hands. AI can operate your space, not just watch it. Every peripheral becomes a device your agents can drive: open the gate, dim the lights, reroute the conveyor. A descriptor, built once by us, a developer, or the device maker, turns any device into an MCP tool every customer gets, callable by a frontier model or a small one offline at the edge.
Focus
Ship your product, not the plumbing.
Building physical AI yourself means standing up device management, connectivity, fleet ops, and analytics, then keeping it all running across every location. It is months of work before you ship anything, and most teams stall there.
PhyStack is that entire layer, already built and already live. One platform and one SDK instead of a stack of vendors to integrate and maintain. Your engineers stop running infrastructure and go back to the product only you can build. For an enterprise running across hundreds of sites, the work we take off the table is bigger still.
Trusted By
How It Works
From unboxed to intelligent.
In three steps.
Deploy.
Flash PhyOS onto any supported device. Provisioning is automated, so it joins your fleet and starts reporting in minutes, not months. One runtime, the same on every form factor.
Orchestrate.
Apps, models, and configurations propagate across the fleet. Lose connectivity and the edge keeps running on its own. The cloud backend maintains a living model of every device.
Act.
Your space becomes something AI can operate, one device or all at once. Your code controls peripherals through one API, or you point models at MCP, where every descriptor is already a tool. Run a frontier model in the cloud or a small one offline on the device, one agent or many, each scoped to what it should touch.
Safety & Compliance
Intelligent enough to care.
Trusted enough to let in.
ISO 27001 certified. When an AI action on a physical device needs guardrails, the infrastructure is built in: emergency stops, rate limits, human-in-the-loop gates.
Your data stays where you need it. One global platform, regional data residency. End-to-end encryption. RBAC with SSO.
When AI controls physical things, trust isn't optional. We build it in.
ISO 27001
Independently audited information security and privacy management.
Data Residency
One global platform, regional data residency. Your data stays where you need it.
End-to-End Encryption
TLS in transit, AES-256 at rest, device-level key management.
RBAC with SSO
Role-based access, SSO/SAML, audit logs for every action.