Building the Robotic Foundation Model for Defense

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Multi-Domain Embodied AI

Onboard foundation model turning defense robots into autonomous agents

Collaborative autonomy: robot to robot coordination via natural language protocol

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What is embodied AI?

One to many human to robot coordination requires human-like intelligence -- VLA's are trained on human imitation and simulation data to connect vision and language to real-world robotic actions.

Introducing

FURY

A first-of-its-kind foundation model for multi-domain defense.

G01
A01

Unmanned Ground Vehicle with Physical AI

Unmanned Ground Vehicle with Physical AI

Our Technology

Fury is a Collaborative Mission Partner for Defense Robots

Warfighter

G01, fix enemy forces along route Tango

Fury G01

Roger. Moving out. 12 minutes to Tango

Collaborative Autonomy with Natural Language

  • Robot to robot communication via natural language protocol for swarm coordination
  • Issue commands via voice, text, or map-based inputs—no special training required.
  • Robot can respond to commands in natural language and understands commander intent.

Intelligent Autonomy at the Edge

  • Operates in real time in comms & GPS-denied environments without reliance on external connectivity or cloud infrastructure.
  • Pre-trained, generalized decision-making across diverse platforms and missions.
  • Reinforced safety and alignment to support complex, dynamic operations.

Platform-Agnostic AI for Any Robotic System

  • Deployable across all robotic form factors in all domains.
  • Foundation model family supports varying compute and power needs.
  • Controls learned from real-world imitation data or in simulated environments.

Lightweight & Scalable Hardware Integration

  • Built entirely from commercial off-the-shelf (COTS) hardware components.
  • Enables high-rate, low-cost manufacturing pipelines.
  • Optimized for low-power inference and lightweight sensor configurations.

Vision-Based Passive Sensing

  • Requires as little as one camera stream to operate—RGB or thermal camera for day or night missions.
  • Eliminates dependence on active sensors like LIDAR or radar.
  • Designed for stealth, simplicity, and reduced power usage.

Self-Improving at the Tactical Edge

  • Adaptive learning allows for retraining on the edge.
  • Secure over-the-air (OTA) model deployments.