The compounding model

Each completed job leaves the system better prepared for the next one.

Customer briefs sharpen data standards. Better standards improve training and simulation. Hardware expands the supply of physical experience, research turns that experience into benchmarks, and deployment shows where a system fails outside the lab.

Compounding modelA multi-sided platform flywheel accelerates enterprise value as data, hardware, and client deployments scale

Turns customer demand into structured training data and a verified, reusable data asset
Creates reusable IP, standards and technical credibility
Scales proven tasks in software before physical deployment
Lowers cost and accelerates supply through manufacturing access

Capabilities converge into one THOR operating platform

Data, research, simulation and supply-chain access combine to build products and deliver customer outcomes.

Products expand THOR's installed base and create new data supply.
Product margins + first-party data
Customer deployments create recurring demand and real-world performance data.
Recurring revenue + embedded customers

A gap in one subsidiary can become the next task in another. Where that task can be defined and measured, it creates more useful work for the same contributor and validator network.