Platform · The LMM

Manufacturing's foundation model.

A stack of interconnected AI tools, hardware and applications that runs the entire arc of a physical product, from idea through production to field feedback.

There is no public dataset for making things.

LLMs learned language from the open internet. Manufacturing knowledge lives in silos, proprietary, closed, locked inside companies that will never let outsiders train on it. So we became the manufacturer. The LMM is trained where the data lives: inside our own factories, on every part we design, tool and ship. Every unit shipped is another training run.

Electric-bike final assembly line
Where the data lives · Coimbatore

Three layers, one system.

Applications · what your team touches
LumosEnvision
AnvilEngineer
OrionManufacture
AtlasImprove
Intelligence · the model
The Large Manufacturing Model Trained on every part designed, tooled and shipped
Physical · where the data is made
Fortress Factories 300,000+ sq ft · batteries · motors · electronics · metals · plastics · tooling · assembly

Rebuilt to be automated.

Existing engineering and operations tools are closed, impossible to automate on top of. We rebuilt the stack in-house with generative AI inside. Each suite is named. What runs inside it, our customers see in the room.

Own the factories. Own the data. Own the default.

Robot and automation on an EV manufacturing assembly floor

Own the Factories

Full-stack, owned manufacturing generates the proprietary data no software company can access, and profits on its own.

Analytics data dashboard on a computer screen

Own the Data

Every part designed becomes reusable reference. Every battery, bracket and board makes the next one more automatic.

Own the Default

As the loop closes, design approaches autonomy and the platform opens, the operating system every hardware company runs on.

One Closed Loop

Sketch to render to CAD to simulation to released BOM to tooling to production to post-sales, 18 months to production-ready, compressed to 9.

The model is trained where the data lives.

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