edge AI infrastructure

Build and deploy to the physical world

AI Enhanced
Composable
Secure & compliant
Developer first platform

From screens to drones, PhyStack provides the developer tools and edge infrastructure to deploy and manage devices & apps globally at scale, locally with precision.

Providing solutions for

Global operations

50+ countries

Signals per month

0.5+ Billion

Purchases per month

35+ Million

Story

Powering the real-world AI revolution with infrastructure, tools, and edge intelligence for developers and businesses to build physical-world applications.

Social

Follow us to see real-world AI in action as we document our journey transforming physical spaces and see how PhyStack brings intelligence to the ground.

Pricing

Transparent and flexible pricing for Physical AI infrastructure that scales with your business. From pilot projects to enterprise deployments across any industry.

Praise for PhyStack

The numbers speak for themselves. Customer engagement has been very positive since we launched.

Alex Bilbao H&M Business Development

AI driven mirror using speech and vision really helps the consumers passing through the store get familiar with their fashion.

Satya Nadella Microsoft CEO

Why PhyStack?

AI Enhanced
Composable
Secure & compliant
Developer first platform

Apps connected to the real world

A digital map of your physical infrastructure. Every device, peripheral, and space has a twin.

Config cascades automatically. Apps & devices know exactly where they are.

PhyOS: Our hardened OS that recovers from failures, updates itself, and runs anywhere your infrastructure lives.

Over-the-Air Updates

Atomic updates with rollback and forward capabilities. Update thousands of devices without touching them.

Resilient & Self-Healing

Automatically recovers from network and power failures. Built for unattended reliability.

Full hardware control

HVAC, lighting, gates, sensors, charging stations... Control any hardware, with or without an OS.

Hardware-accelerated AI

GPU-powered inference for on-device AI.

Run models at the edge with hardware acceleration—real-time, private, no cloud round-trip.

Build agents for the physical world

Autonomous workflows that sense, decide, and act. Connect AI to real-world infrastructure—not just chatbots, but agents that control physical systems.

Real-time device communication

Peer-to-peer. No cloud in the middle. Devices talk directly—lower latency, works offline, scales without bottlenecks.

Any chip. Any architecture. One codebase.

Feature	PhyStack	AWS Greengrass	Azure IoT Edge	Balena	NVIDIA Fleet

Multi-arch support Support for Intel, ARM, NVIDIA architectures.
GPU acceleration Hardware-accelerated computing capabilities.
ML framework support Support for machine learning frameworks.
OS & device management Operating system and device management capabilities.
Application management Application lifecycle management.
Employee / visitor UI/UX User interface for employees and visitors.
MLOps Machine learning operations and lifecycle management.
Peripheral management Management of connected peripheral devices.
MCP/LLMs environment interactions Multi-channel protocol and large language model interactions.
Analytics & dashboards Real-time analytics and dashboard capabilities.
Access management (location) Location-based access control and management.
Resilient Edge Network stack Robust edge networking capabilities.