CUAS Planner offers a physics‑based simulation platform that enables defence and security teams to model diverse drone threats and evaluate counter‑UAS systems, site configurations, and operational tactics. The software generates realistic engagement scenarios with analytics such as coverage heat‑maps and risk scores, and includes collaborative scenario versioning and API integration for procurement workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Defence and security organisations often must select counter‑UAS systems, tactics, and site configurations without concrete evidence of how they will perform against realistic drone threats. This leads to costly procurement mistakes, insufficient testing, and unaddressed vulnerabilities in critical infrastructure.
Solution
CUAS Planner is a high‑fidelity simulation platform that lets users model a wide range of drone threat profiles and run virtual engagements against proposed counter‑UAS assets, site layouts, and operational tactics. The engine incorporates aerodynamic, sensor, and communications models to generate realistic attack scenarios, while an analytics layer quantifies coverage gaps, risk exposure, and performance metrics. Users can iterate designs, compare alternative solutions, and produce data‑driven reports that inform procurement decisions and prioritize real‑world field trials. The platform also supports scenario versioning and collaborative review, enabling teams to maintain a continuous planning loop as drone capabilities evolve.
Target Audience
Primary customers are defence and security teams responsible for site protection, counter‑UAS operations, and procurement of anti‑drone technologies, including military planners and critical‑infrastructure security units.
Features
- Physics‑based drone threat engine with configurable payload, speed, altitude, and swarm behaviours
- GIS‑compatible site import tool that maps terrain, structures, and sensor footprints for precise coverage analysis
- Drag‑and‑drop scenario editor allowing rapid creation of attack vectors, flight paths, and counter‑UAS response scripts
- Real‑time analytics dashboard delivering heat‑maps, probability of detection, and Monte‑Carlo risk scores
- API suite (REST/JSON) for exporting results to procurement systems, C4ISR platforms, and reporting tools
- Multi‑user collaboration workspace with role‑based access, change tracking, and scenario version control
- Built‑in support for custom scenario development and integration of proprietary sensor models via plug‑in architecture