ENABLING PHYSICAL AI
From AI Brains to
AI Orchestration
Intelligence That Works. Learns. Evolves.
We connect AI compute, on-device intelligence, robotics, and field data—building the foundation for Physical AI that acts in the real world and evolves through experience
AUTONOMOUS
Perceive. Reason. Act.
PREDICTIVE
Anticipate What Comes Next.
ADAPTIVE
Learn from Real-world Experience.
DISTRIBUTED
Intelligence Across Robots and Devices.
OPEN
Open by Design. Built to Scale.
PHYSICAL AI ENABLER
Bridging AI and the Physical World
Advanced AI needs more than powerful models
INTEGRIT bridges AI, compute, and robotics through proprietary system software, on-device intelligence, and orchestration platforms.
Turning AI capabilities into deployable technology
HOW WE DEFINE PHYSICAL AI
More Than a Model.
A Complete Intelligence System.
Physical AI brings together two essential layers.
Model Intelligence understands the world.
System Intelligence makes it work in the world.
INTEGRIT connects both through an open, integrated execution architecture.
RFOM AI CAPABILITY
TO REAL-WORLD INTELLIGENCE
Bridging the Physical AI Productization Gap
A great AI model is only the beginning.
Real-world intelligence demands optimized compute, software, sensors, and control working as one. INTEGRIT provides the platform technologies that turn AI innovation into deployable products
ONE PHYSICAL AI STACK
Execute. Understand. Operate. Evolve.
Three proprietary platforms. One connected architecture. From AI execution to real-world intelligence and orchestration.
01
EXECUTE
AI Compute & Productization
Bringing AI compute, system software, and optimized runtimes together—ready for real-world robots and devices.
02
UNDERSTAND & ACT
Physical AI Intelligence Engine
Connecting vision, language, and sensor context with real-time perception, reasoning, and robotic action.
03
OPERATE & EVOLVE
AI Operations & Orchestration
Unifying robot missions, AI models, and field data—with the foundation for continuous AI improvement.
WHERE INTELLIGENCE IS GOING
Beyond Perception.
Toward Prediction
Intelligence That Anticipates Change
The next evolution of Physical AI is understanding not just what is happening, but what happens next.
We are exploring temporal intelligence and predictive state modeling to help robotic systems anticipate change and act more intelligently.
THE PHYSICAL AI LOOP
INTELLIGENCE THAT LEARNS FROM THE REAL WORLD
Every Mission Creates New Intelligence
The real world never stands still. Neither should AI
Our vision connects field data, learning, evaluation, and model deployment in a continuous improvement loop.
Operate. Learn. Optimize. Deploy.
FROM ROBOT INTELLIGENCE
TO DISTRIBUTED PHYSICAL INTELLIGENCE
One Intelligence. Across Many Systems
Our vision goes beyond individual robots and AI models.
We are building toward a distributed Physical AI infrastructure—where intelligence, missions, and real-world experience can scale across robots, devices, and environments.
Open by Design. Built to Scale
Different robots. Different models. One extensible architecture.
Our platforms build on existing compute, AI, and robotics environments—enabling interoperability, flexibility, and growth without starting from scratch.
PREDICT WHAT COMES NEXT
From Reactive AI to Predictive Intelligence.
AI that understands the present, anticipates what comes next, and learns from experience.
Intelligence designed to evolve across robots, spaces, and industries.
From Real-time Perception to Predictive Intelligence
Physical data tells a story over time.
By exploring patterns across vision, motion, sensors, and system states, we aim to anticipate anomalies and predict what comes next.
Perceive → Reason → Predict → Act → Learn
BUILT FOR THE REAL WORLD
Beyond Prototypes. Into Real Operations
Our technologies are tested where performance matters—in semiconductor facilities, airports, and commercial environments.
From commercially deployed products to enterprise contracts and field validation, every milestone brings Physical AI closer to scale.
Real-world experience. The foundation for what comes next.
BUILDING THE PHYSICAL AI ECOSYSTEM
Intelligence Grows When Knowledge Is Shared.
Physical AI cannot evolve in isolation.
Through technical forums, joint research, and industry collaboration, we advance robotics interoperability, data standards, and reusable AI infrastructure.
Building connections that move the entire ecosystem forward.
ENGINEERING FOUNDATION
WHAT MAKES PHYSICAL AI REAL
From Compute to Field Intelligence
From silicon to software. From models to machines. Six engineering foundations that make Physical AI work.
AI COMPUTE & SYSTEM FOUNDATION
Compute Engineered for Physical AI
We connect AI compute with proprietary system software, optimized runtimes, and power-aware architecture—turning processing capability into practical edge intelligence
AI SoC · BSP · Firmware · Runtime
On Device AI Board Support Package
EDGE AI SYSTEM STACK
Built to Run. Open to Integrate
n open edge AI stack connecting operating systems, robotics middleware, sensors, and AI frameworks—designed to extend existing technologies
OS · ROS2 · Middleware · AI Framework
Edge AI Model
MODEL-TO-EDGE OPTIMIZATION
Powerful Models. Optimized for the Edge
We adapt advanced AI models for efficient on-device execution through quantization, runtime optimization, and hardware acceleration
VLM · VLA · RFM · Model Optimization
Physical AI & Robot Foundation Model
ROBOTICS INTEGRATION
Extending Robots. Not Replacing Them
We extend existing robotic systems with intelligent perception, reasoning, and task capabilities—integrating with established SDKs and control architectures
Humanoid · Quadruped · AMR · AI Device
Physical AI Enabled Robotics Packages
ON-DEVICE INTELLIGENCE
Intelligence Where It Matters
SynaAI® brings multimodal perception and reasoning directly to robots and devices—reducing latency and cloud dependency while keeping intelligence closer to the action
Short Label
SynaAI® · LLM · VLM · VLA
On Device AI Stack
FIELD DATA & AI EVOLUTION
Turning Experience into Intelligence
FlyingLet® Synapse connects robot missions, AI models, and field data—laying the foundation for continuous evaluation, improvement, and redeployment
Field Data · Learning · Evaluation · OTA Deployment
FlyingLet Platform