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R&D for Intelligence in Motion

We apply research in radar signal processing, UAV networks, and AI acceleration to serve operational needs across civil and defense sectors

Our Focus Areas

UAV Coordination & Autonomy

Early-stage research into scalable multi-agent frameworks for mission planning and adaptive behaviour.

Radar Signal Processing

Development of signal-processing pipelines tested on embedded sensing platforms, focused on detection, clutter rejection, and situational awareness.

AI Inference Optimization

Exploring future deployment of lightweight AI models on edge hardware, with a focus on latency, efficiency, and robustness.

Dual-Use, Purpose-Driven

We develop dual-use technologies that enhance decision-making in both civil and defense contexts. Field applicability, operational robustness, and ethics-by-design are at the core of every line of code and every prototype we build.

How We Work

We combine high-fidelity simulation with early hardware prototyping to explore and validate concepts quickly and rigorously.

Radar experiments leverage embedded sensors for physical-layer insight, while our UAV research progresses through modular iterations. AI inference acceleration is a planned milestone on our roadmap.

  1. 1

    Simulation-driven design & verification

  2. 2

    Hardware prototyping & field experimentation

  3. 3

    Iterative refinement with domain feedback

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Early-stage R&D work and methodologies have been timestamped to establish traceability and document innovation progress towards potential IP filings.