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Breaker

Breaker develops an edge-deployed AI agent that enables autonomous systems to make real-time, context-aware decisions across air, land, and maritime domains. Operators can issue commands and query systems using natural language over standard push-to-talk radio networks, eliminating reliance on external infrastructure. This technology facilitates multi-asset cross-domain teaming, allowing autonomous platforms to collaborate effectively to achieve unified mission objectives.

Sydney, Australia122K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Operating autonomous systems in dynamic environments often requires complex interfaces and constant human oversight, hindering real-time decision-making and efficient multi-asset coordination. This reliance on external infrastructure and bulky equipment limits the adaptability and scalability of robotic operations.

Solution

Breaker provides an edge-deployed AI agent that enables natural language voice communication with autonomous systems over standard push-to-talk radio networks. This agent processes mission context and facilitates real-time, auditable decision-making directly on the platform, reducing cognitive load on operators. It supports seamless multi-asset cross-domain teaming, allowing diverse autonomous platforms to collaborate and achieve unified objectives with enhanced efficiency. The system is designed for system agnosticism, integrating with a wide range of platforms without dependency on external networks.

Target Audience

Breaker's primary customers are defense and public safety organizations, as well as commercial entities operating fleets of autonomous systems that require robust communication and intelligent decision-making capabilities in challenging operational theaters.

Features

  • Natural language voice interface for commanding and querying autonomous systems via push-to-talk radio networks.
  • Edge-based AI decision-making engine that interprets mission context for autonomous actions.
  • Auditable decision logs providing transparency and traceability of AI actions.
  • Support for multi-asset, cross-domain collaboration across air, land, and maritime platforms.
  • System-agnostic architecture for integration with various robotic platforms and sensors.
  • Scalable design enabling single-operator control of multiple autonomous systems.
  • Real-time processing for fast, mission-critical decision-making in dynamic environments.
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