Fast. Reliable. Field-Ready.


Specialized Test & Evaluation Instruments







Layered defense for secure

Counter-UAS System platform delivers layered defense against unauthorized unmanned aerial systems through advanced detection, tracking, and engagement technologies.

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Precision jamming to neutralize hostile drone links

Drone Signal Disruption System is electronic countermeasure solution provides selective denial of hostile drone communications and navigation channels. Utilizing protocol-specific RF interference and directional jamming techniques, it ensures targeted disruption with minimal collateral impact, supporting flexible deployment in defense, critical infrastructure, and high-security zones.

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AeroSim-TX: UAV Signal Simulator

AeroSim-TX is a professional-grade UAV signal simulator engineered to replicate complex RF environments and UAV communication protocols. It enables controlled testing of II-ECM systems under realistic operational conditions, supporting anti-interference validation and protocol compliance.

  • RF Environment Simulation: Emulates diverse signal conditions for interference testing.
  • Protocol Emulation: Supports a wide range of UAV communication standards.
  • Scenario-Based Testing: Enables joint simulation of mission profiles and threat conditions.
  • Algorithm Benchmarking: Validates signal processing and fusion algorithms under controlled inputs.

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FieldLink-X: Mobile Test & Evaluation Instrument

FieldLink-X is a rugged, portable instrument designed for on-site testing and evaluation of II-ECM systems. It provides real-time diagnostics, communication compliance analysis, and dynamic performance assessment in low-altitude and contested environments.

  • Protocol Compliance Analyzer: Verifies communication integrity and standards adherence.
  • Link Health Monitoring: Tracks signal stability and performance in real time.
  • Data Fusion Evaluation: Assesses multi-source integration and system responsiveness.
  • Dynamic Recovery Testing: Simulates congested or degraded signal conditions for resilience validation.