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In Development
Cognitive Layer for Humanoid Automation

Machines that understand why, not just how

Industrial automation has hit a structural limit. Machines execute—but can't reason. We're building the intelligence layer that enables task-level intent and long-horizon reasoning, forming the cognitive substrate for next-generation humanoid systems.

The Missing Intelligence Layer

Large-scale deployment of humanoid robots remains constrained by the absence of a reusable, general-purpose intelligence layer capable of interpreting objectives, supervising execution against intent, and autonomously recovering from failure in complex, real-world environments.

The Universal Form Factor

Built for a Human World

Industrial environments were designed for human bodies. Doors, stairs, tools, workstations—all built to human scale. Purpose-built robots require purpose-built environments.

Humanoids don't. They're the only hardware that can operate in spaces made for us—without requiring infrastructure redesign. The universal form factor for a world built for humans.

The Cognitive Substrate

A reusable intelligence layer accessible via standardized interfaces—not vertically integrated solutions

Task-Level Intent

Infer the purpose behind actions, not just replicate movements. Understand why a task is performed to generalize across contexts.

Long-Horizon Reasoning

Plan across extended sequences with contextual understanding. Navigate complex, multi-step tasks in dynamic environments.

Standardized Interfaces

Enable a wide ecosystem of industrial actors to access advanced reasoning through open APIs—not proprietary stacks.

Human-World Ready

Operate in spaces built for humans. No environment redesign required. Deploy into existing facilities immediately.

Learning from Strategic Behavior

A novel training paradigm that addresses the robotics data bottleneck

Gaming Data as a Reasoning Substrate

Rather than relying on robot demonstrations or task-specific simulations, we investigate whether massive-scale gaming video data can serve as a scalable substrate for learning strategic reasoning patterns.

Games naturally encode the cognitive properties humanoid robots need: long-horizon planning, goal decomposition, failure handling, and adaptive decision-making under uncertainty.

Not imitating game actions—extracting strategic abstractions
Goal hierarchies, contingency handling, decision patterns
Avoids premature coupling to specific hardware platforms
Gaming Video Data
Strategic Abstraction
Humanoid Intelligence

A Structural Imperative

In a context of labor scarcity, geopolitical uncertainty, and accelerating technological change, establishing this foundational capability is not optional—it is a prerequisite for sustainable industrial competitiveness in the 21st century.

Humanoid Fleet Intelligence

Every humanoid contributes to—and instantly benefits from—the collective intelligence of the fleet.

Shape the Future With Us

Currently in Development

Defining the cognitive foundation

Partner with us to build the intelligence layer for next-generation humanoid automation. We're connecting with industry leaders, investors, and visionaries.