top of page

Our Research & Development threads are crucial to our capability and service offerings



The counter drone market is a rapidly growing sector with a goal of protecting other airspace users and critical/sensitive facilities.


Due to the nascent stage of this industry, highly capable and functional counter-drone systems are lacking.


Our significant military and academic knowledge and experience to optimise sensor false alarm and miss rates, data fusion, and threat modelling and classification with Machine Learning to develop world leading counter-drone solutions.

How we can help

1 Counter Drone


Uncrewed Aerial System (UAS) Traffic Management (UTM) is a hugely innovative and disruptive environment intended to be a core enabler to ubiquitous UAS operations in urban environments and other busy airspace.


UTM has potential to not only enable low-altitude UAS operations, but replace traditional, very costly, Air Traffic Management systems.


We're putting our world leading UTM expertise into action by developing advanced UTM services focused on Communications, Navigation, and Surveillance (CNS),  Risk Management and advanced concepts for Strategic Deconfliction and algorithmic negotiation.

How we can help



Previously referred to as Processing, Exploitation, and Dissemination (PED), SIAS provides end-to-end decision making capabilities based on real-world sensing leveraging Machine Learning techniques. Use cases include:

  • Military Intelligence, Surveillance, and Reconnaissance (ISR)

  • Airborne Search and Rescue (SAR)

  • Airborne disaster recovery surveillance

  • Airborne monitoring (sharks, cattle, security, etc)

  • Detect and Avoid (DAA)



We are actively researching how to deploy appropriate Machine Learning algorithms to Sensing, Identification, and Attribution with a view to making the performance of our algorithms transparent to end-users for key characteristics that most developers keep to themselves (Receiver Operating Characteristic Curves, false alarm rates, missed detection rates, etc).

How we can help

4 Advanced Sensing


What does success look like for aerial sensing? Well, it all comes back to the right sensor for the job. Achieving business needs relies on selection of the right sensor, the most applicable processing, the right aerial platform, and the right analysis and distribution system. We believe that many sensors and on-board processing sub-systems for aerial applications are either sub-optimal or simply aren't appropriate.

We are examining key techniques in compressed sensing, geometric reasoning and deep learning to not only optimise aerial sensing performance, but also more broadly for use in UAV based Cognitive Electronic Warfare (CEW) and Behavioural Learning for Adaptive Electronic Warfare (BLADE)

How we can help

bottom of page