AI Model

Building the robotic AI model for defense

Onboard intelligence that turns defense robots into autonomous agents able to coordinate across land, air, and sky.

Multi-domain embodied AI

Onboard AI model turning defense robots into autonomous agents

Collaborative autonomy that connects perception, language, and action in real time. Enyak AI runs at the tactical edge without reliance on cloud connectivity, enabling high tempo operations in contested domains.

Drone Ground Aircraft Maritime
What is embodied AI?

One-to-many human to robot coordination requires human-like intelligence.

Vision-Language-Action models trained on simulation and human demonstration data connect perception to execution. Enyak AI fuses voice, vision, and mission context so teams of autonomous agents can reason together.

Natural language protocol

Input
Real-time sensor fusion, video, and voice commands.
Model
Large language model tuned for embodied control.
Output
Coordinated actions across land, air, and sea assets.
Introducing

Enyak

A first-of-its-kind AI model for multi-domain defense

Mission status

Enyak E-G01 is assisting allied forces across rugged terrain with autonomous navigation.

Enyak is a collaborative mission partner for defense robots

Platform-agnostic autonomy that scales from single vehicle operations to coordinated multi-domain teams.

Robot-to-robot coordination via natural language protocol enables shared mission context and intent without constant human supervision.
Operates disconnected from the cloud with resilient decision-making in GPS- and comms-denied environments for uninterrupted missions.
Modular autonomy stack deploys across ground, air, and maritime vehicles with rapid integration timelines and shared mission data.
Built entirely on commercial off-the-shelf compute for fast deployment, easy maintenance, and streamlined upgrades in theater.
Requires as little as a single camera feed to perceive complex environments, minimizing signature and sensor footprint.
Continually adapts using operational feedback loops, learning in the field to stay ahead of emerging threats and terrain.