General Material Intelligence

Grounded intelligence that builds the world.

Droids GMI develops systems that merge computation and matter. The goal is to turn software insight into physical capability — to make intelligence a property of materials themselves.

Thesis

• Most companies pursue disembodied artificial intelligence — software that interprets the world.
• Some now chase embodied control — software that moves through the world.
• We focus on something deeper: intelligence that becomes the world.

Our premise is simple: true autonomy begins when materials themselves can sense, adapt, and improve through design logic learned by AI. This is not simulation. It's creation.

Stack

Hardware

• Material science: new composites, metamaterials, and responsive surfaces that integrate sensing and computation at the physical layer.
• CAD and digital twins: generative design systems that map simulation to manufacturing without human translation.
• Precision fabrication: robotics and instrumentation optimized for atomic accuracy, continuously refined by feedback data.

Software

• Embodied control: reinforcement systems that learn through real-world outcomes, improving control policies via direct feedback.
• Simulation acceleration: fast surrogates for physical processes that replace months of testing with seconds of inference.

Rationale

• Today, companies race to perfect embodied control — teaching software to manipulate the physical world.
• We race to perfect hardware design itself — teaching software to create the physical world.

• This path may ultimately outcompete control-based approaches because it develops a better understanding of causality — how structure gives rise to behavior.
• Control optimizes what already exists.
• Creation defines the substrate itself.

When intelligence is embedded in the materials, not layered on top of them, every improvement in software yields exponential improvement in the world's physical capability.