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Building the expert intelligence layer for Physical AI

Expert Intelligence
for Physical AI

We connect the world's leading industrial experts with AI companies building for the physical world: manufacturing, energy, robotics, logistics, and beyond.

AI is moving from
digital to physical.

The first wave was chatbots and code: software improving software. The next wave is AI entering the real world: optimizing factories, managing power grids, routing shipments, operating robots.

But physical systems are fundamentally different. A bug in a chatbot is annoying. A bug controlling a chemical reactor is catastrophic. You can't train these systems on web data — you need experts who have actually run plants, managed grids, and operated on the factory floor at 2 AM.

Five pillars of
Physical AI infrastructure

Post-Training for AI Labs

Domain-specific RLHF from vetted industrial experts. Manufacturing engineers rank AI responses on casting defects. Energy operators evaluate load balancing recommendations. Every feedback cycle trains AI to work in the real world.

Enterprise AI Evaluation

Verify your AI agents actually work before production deployment. We deploy domain experts to validate AI systems against real-world operating conditions before they touch your factory floor, grid, or warehouse.

Industrial AI Advisory

Most industrial businesses know they need AI but don't know where to start. Our experts assess operations, design solutions, and connect businesses with the right AI companies, acting as a trusted gateway to the AI economy.

Robotics & Physical Demonstrations

Robots learn by watching experts perform real tasks. Certified welders demonstrate technique. Warehouse operators show material handling. Every demonstration becomes training data for the next generation of autonomous systems.

Physical Infrastructure Services

Turnkey support for building and optimizing physical AI infrastructure: data centers, energy systems, and sovereign AI installations. We bridge the gap between digital ambition and physical reality, providing expert oversight from design through commissioning.

A $150 billion market by 2030

$12B
Today
$150B
By 2030
10+
Verticals
Manufacturing Industrial Automation Supply Chain & Logistics Energy & Grid Data Centers Automotive Agriculture Construction Healthcare Devices Defense & Aerospace

Backed by engineers
who've built real things

Our founding team has operated refineries, designed powertrain systems, built payment platforms at scale, and published peer-reviewed research in neural networks, AI security, and industrial control systems.

Industry
Ford Motor Company Caterpillar J.P. Morgan Refinery & Plant Operations Metals Manufacturing
Operations
200+ Employee Manufacturing Fortune 100 Enterprise Sales $100M+ P&L Management
Patents
Automotive Powertrain Systems Electric Vehicle Batteries
Research
Neural Networks & Acoustics AI Security ICS Network Security Fault-Tolerant ML Systems Memory-Safe Code Generation
Education
Northwestern McCormick & Kellogg Georgia Tech MIT

Purpose-built for
the physical world

Operational Depth

We come from manufacturing. Our team has run physical operations with hundreds of employees and we understand the gap between textbook answers and what works at 2 AM when the furnace is running hot.

Expert Vetting Beyond Textbooks

8–12% acceptance rate. We don't vet with AI chatbot interviews. Our process includes credential verification, domain-specific scenario evaluations, and paid trial engagements on real problems.

Cross-Domain Network Effects

A mechanical engineer evaluates manufacturing AI, energy systems, and automotive powertrains. Our expert network has cross-domain leverage that vertical specialists can't match.

“Today’s large language models are wordsmiths in the dark — eloquent but inexperienced, knowledgeable but ungrounded.”

Dr. Fei-Fei Li on Spatial Intelligence: the thesis behind Physical AI

World models, industrial digital twins, and autonomous systems all converge on the same need: expert human intelligence that understands physics, safety, and how the real world actually works. We provide that layer.

Join our expert network

Are you an engineer, operator, or domain specialist with hands-on experience in manufacturing, energy, logistics, or other physical systems? We're building a network of experts who shape how AI understands the real world. Earn $85–$100+/hr on your schedule.

✓  Thank you! We'll be in touch within 48 hours.

We review every application personally. No automated screening.

Let's build the future
of Physical AI together

Whether you're an AI lab that needs industrial domain expertise, an enterprise deploying AI in physical operations, or an expert ready to shape the next generation of intelligent systems.