EN 
EL INNOVATION
Artificial Intelligence
& Machine Learning
Optimising Decision-Making and Operations.
OUR APPROACH
By applying artificial intelligence and machine learning, we develop dual-use technologies that help organisations optimise operations, manage risk, and make informed decisions.
Our ecosystem combines advanced capabilities into state-of-the-art platforms that support critical sectors, including defence and civil domains, maritime, and natural disaster management.
Our Capabilities
We apply advanced AI, sensing, and data engineering to turn data into operational intelligence, enabling perception, analysis, and prediction.
Computer Vision
Utilising state-of-the-art AI algorithms, we deliver real-time image and video analytics for automated object detection, classification, tracking, and event detection. Through multimodal sensor integration and data fusion, we provide a comprehensive view of the environment, enhancing situational awareness and supporting smarter decision-making in defence, aerospace, and natural disaster management.
Sensing using LiDAR
LiDAR is a remote sensing technology that uses laser pulses to measure distances and generate detailed 3D maps. We utilise LiDAR sensors on autonomous and remotely operated platforms to detect obstacles, model terrain, and facilitate safe navigation, even in low-light conditions. Combined with cameras, radar, and IMU sensors, LiDAR enhances perception in complex environments.
Signal Processing & Time Series Analysis
Our solutions apply advanced signal conditioning, robust outlier detection, and reliable missing data imputation to ensure high-quality inputs that enable intelligent decision-making and accurate predictive capabilities. We analyse time series, individually or in clusters, to estimate key statistical properties and identify correlations that underpin Digital Twins.
Digital Twins
Our digital replicas of physical assets enable optimised performance and enhanced predictive maintenance. By ingesting real-time data and embedding digital twins into our solutions, we improve operational efficiency and minimise downtime. Our approach also supports proactive decision-making by anticipating issues before they impact operations.
Software
Our cloud-based platforms enable scalable data processing using AI and ML algorithms, ensuring efficient analysis and interpretation of vast datasets. We use edge computing devices to integrate our AI/ML algorithms into various platforms, including unmanned vehicles (air, land, sea, and underwater). We deliver geospatial-enabled user interfaces that aggregate meta-data and other information and offer augmented-reality environments for enhanced user interaction and perception.
Data Architecture & Integration
At the core of our platforms lies a robust architecture for storing, handling, and distributing raw and processed data. Designed for interoperability, our systems ensure seamless integration with third-party solutions and scale effectively across defence, civil protection, and maritime domains. This foundation guarantees reliable data flow, consistency, and accessibility across all operational environments.
Platforms and Systems
We design and deliver a comprehensive range of AI-driven platforms and systems that combine multi-sensor data, advanced simulation, and automation, operating independently or within larger operational environments.
Common Operational Picture
Our platforms aggregate and fuse data from multiple sensors (optical, infrared, LiDAR, RADAR) and telemetry to create an interactive, real-time operational picture. GIS-enabled interfaces enhance situational awareness and decision-making.
Simulation of Environments and Natural Phenomena
We develop and implement mathematical models of complex systems for training, predictive analysis, and scenario testing. Our simulation technology allows organisations to assess outcomes, optimise performance, and reduce real-world risks before implementation. We deliver advanced platforms for modelling and forecasting natural phenomena, including wildfire propagation and flooding. These simulations integrate historical and real-time data to support operational readiness and informed response planning. We also simulate operational environments and autonomous systems behaviour, supporting the development of path-planning and control algorithms.
Handling and Visualisation of Big Datasets
We provide high-performance and scalable solutions for processing, analysing, and visualising large structured and unstructured datasets. Our platforms enable organisations to gain actionable insights, enhance decision-making, and optimise real-time data workflows.
Autonomous Systems
We incorporate AI and ML algorithms into unmanned platforms across air, land, and sea. By leveraging edge computing, telemetry information, and autonomy functions such as path planning and low-level control algorithms, our systems enable safe, efficient, and mission-ready operations. Our UAV swarming R&D sets a new benchmark for collaborative autonomous systems. Leveraging AI and advanced communications, multiple UAVs can effectively cooperate and adapt in real time, supporting missions such as search and rescue, surveillance, and reconnaissance.
Application Areas
Our data-driven solutions provide real-time insights, enhancing decision-making and operational efficiency across sectors.
Situational awareness & threat detection
Multi-sensor data ingestion and fusion for real-time intelligence and informed decision-making.
Target acquisition, classification & real-time tracking
Computer vision algorithms for precise object detection and tracking with applications in military operations.
Autonomous systems
Path planning, collision avoidance and optimal routing.
Search & rescue solutions
UAV-based imaging for rapid detection of distressed individuals and accelerated rescue operations.
Βorder surveillance & illegal migration detection
Location and identification based on UAV and satellite imaging analysis and AIS information.
Traffic monitoring & law enforcement
Traffic pattern analysis and AI-driven traffic monitoring for enhanced urban mobility and law enforcement.
Critical infrastructure
Integration of UAV and ground sensors for damage assessment and perimeter breach detection, with AI-driven alerts, incident visualisation, and predictive maintenance enabling faster, informed decisions.
Fire propagation and fire risk assessment
Predictive modelling and real-time tracking to identify high-risk areas and support proactive mitigation strategies.
Fire detection
Early detection of wildfires via fire and smoke recognition from UAV, satellite, and ground-based imagery.
Flood simulation
Flood risk mitigation through AI-driven predictive models that deliver early warnings for faster, more effective responses.
Damage assessment
Post-earthquake building damage assessment using pre- and post-disaster satellite imagery.
Sea vessel digital twins
Virtual ship replicas for predictive maintenance and performance optimisation.
AI-driven weather routing
Data-driven insights for route optimisation, fuel consumption, and emission reduction to support cost-effective and sustainable navigation.
