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The deployment of artificial intelligence (AI) in the airforce enables faster and more efficient military performance with fewer resources. Over recent years, AI defence companies have been playing an increasingly pivotal role within the air defence capabilities of modern militaries.

AI can promote situational awareness, provide decision support, identify data patterns, and enable predictive maintenance and pilot training through simulation environments. 

Discover the leading AI defence companies in air defence 

Using its experience in the sector, Airforce Technology has listed some of the leading companies offering products and services related to artificial intelligence. 

The information provided in the download document is drafted for military executives and technology leaders involved in airforce AI innovations. 

The download contains detailed information on suppliers and their product offerings, as well as contact details to aid purchase or hiring decisions. 

Amongst the leading suppliers of airforce artificial intelligence solutions are Adarga, Atlas Elektronik, Cylance, FLIR Systems, Palantir, Percepto, Rebellion Defense, Shield AI, SparkCognition, and Veloxiti.

Related Buyer’s Guides which cover an extensive range of airforce equipment, manufacturers and technology, can also be found here.

Applications of AI defence companies and artificial intelligence in air defence 

Militaries across the world are conducting research activities to identify the various applications of artificial intelligence in air defence, with many of these technologies either already being deployed or currently under testing. Some of the applications of AI for the airforce industry are discussed below: 

AI-enabled aircraft 

AI-enabled unmanned aerial vehicles (UAVs) can be used in air patrol or ground alert interceptor roles to develop an integrated air defence system. The UAVs can be deployed for short-range intercept missions and work in conjunction with crewed aircraft to deliver the required data and intelligence. 

The human crew will be responsible for developing the engagement strategy and selecting targets while AI can be deployed to perform other tasks such as manoeuvring the aircraft and dogfight tactics. 

AI-enabled co-pilots or virtual pilots can help human pilots in manoeuvring an aircraft in challenging environments by analysing and processing data faster and delivering key insights. They can also help in improving efficiency and effectiveness during search and rescue operations. 

Researchers at the US Air Force’s Air Combat Command’s U-2 Federal Laboratory developed an AI algorithm known as ARTUµ that flew along with a pilot on board the U-2 Dragon Lady aircraft. The algorithm was trained to execute in-flight tasks such as sensor employment and tactical navigation that would have been otherwise executed by the pilot. 

Ireland has set up research teams to explore disruptive solutions including an AI co-pilot to improve the fire extinguishing capability of rotary-wing aircraft. 

Digital twins 

AI has the potential to recreate real-life environments and scenarios in real-time using digital twins, which can be used to identify the best approach in a high-risk situation. The digital-twin approach can help in capability development by designing, testing and running mission simulations. 

Computer vision 

AI-based computer vision algorithms can analyse images and data collected by drones in real-time to perform safety and inspection missions and identify hostile activity. If a target is identified as hostile, computer vision can be used by targeting systems that use guided missiles and anti-aircraft missiles can operate with more accuracy using computer vision systems.  

Maintenance and performance checks 

AI can help reduce the workload of engineers and maintenance personnel who perform routine checks of aircraft by enabling them to visualise damages in 3D with a high level of accuracy. 

For full details (including contact details) on the leading AI defence companies within this space, download the free Buyer’s Guide below:

Frequently asked questions

  • How is AI used in air defence systems?

    AI is transforming air defence by improving situational awareness, decision-making, and response times. It enhances unmanned aerial vehicle (UAV) operations, automates surveillance, and assists pilots in data analysis and threat identification. AI can also support predictive maintenance of aircraft and simulate complex battle scenarios through digital twins, improving training and mission readiness.

  • What role does AI play in unmanned systems for air defence?

    AI powers UAVs for autonomous missions, including surveillance, target acquisition, and short-range interception. It enables real-time data processing and decision-making, allowing UAVs to work alongside manned aircraft for more effective air defence strategies.

  • How does AI assist pilots in challenging environments?

    AI co-pilots or virtual assistants help human pilots by processing data, providing real-time insights, and assisting in navigation, particularly in complex or high-risk environments. This technology increases mission success rates by improving response time and efficiency during critical operations, including search and rescue missions or combat scenarios.

  • What are AI-driven digital twins in air defence?

    AI-driven digital twins simulate real-life environments for mission planning and training. By recreating complex scenarios, these digital twins enable militaries to test strategies, predict outcomes, and optimise resource allocation. This approach enhances operational preparedness and allows for risk-free experimentation in high-stakes situations.

  • How does AI improve aircraft maintenance?

    AI-based systems support predictive maintenance by monitoring aircraft components, identifying potential issues, and predicting failures before they occur. By analysing data from sensors, AI helps technicians visualise damages and reduces downtime, ensuring fleet readiness while lowering maintenance costs.