We develop Drone and Edge computing solutions
Airmod leverages its background and expertise in video & data processing, embedded cybersecurity to develop electronic systems for aerospace and drones.
We are building electronic boards that integrate AI applications to enable computer vision use cases such as object detection or obstacle avoidance into full autonomous navigation.
Airmod uses its expertise in video processing to maximize the performance of a specific hardware (encoding, decoding, image improvement, GPU, NPU, ..) to run a AI application and minimize processing latency.
Airmod has in-house facilities to assemble, personalize, maintain and manage after sales service, and has trusted and established partners and internal deployed tools to build high volumes products.
The Airmod FS-1F405 is a next-generation drone controller designed for precision, scalability and sovereignty. The electronic board is engineered in France and built for mass production.
Developed with a dual-board system—a Flight Controller Board (FCB) stacked with an Electronic Speed Controller (ESC)—the FS-1F405 offers seamless real-time control, high efficiency and rugged outdoor reliability.
European Sovereignty
Designed and developed in France, ensuring full control over supply chains, compliance, and strategic autonomy for local European productions and beyond.
Large-Volume Production Ready
Optimized for scalable manufacturing across European and global facilities, enabling high availability for civil and dual use deployment.
High Power ESC: 55A x 4 Peak Output
The integrated ESC delivers up to 55A per motor (4 motors), providing the thrust required to carry payloads of up to 4kg—ideal for logistics, surveillance, and heavy-lift operations.
Airmod develops solution (hardware and software) to bring AI vision application for mass market: lower power consumption, smaller CO2 footprint, affordable for mainstream drone.
The solution will combine information from the sensors to assist the pilot and should lead to (full) autonomous navigation.
Obstacle Detection
Via Sensors: Cameras, LIDAR, ultrasonic sensors, and infrared sensors.
Object Recognition
Via Cameras to identify, classify and track/follow objects in real-time based on advanced algorithms and deep learning models.
Autonomous navigation
With or without GPS connection, pre-defined routes to fly. If GPS is lost, the drone can still find its way by creating a 3D map of its environment and track its position within that map in real-time based on Preloaded Map that includes topographical information, landmarks, and known obstacles.
The advanced application is running directly in the drone: reducing the dependency with the wireless communication and reducing latency.
Airmod starts from mature and field proven AI application and integrates them in embedded systems optimizing each processing step to specific hardware.
Airmod develops a range of hardware based on STMicroelectronics and NXP Semiconductors processors with high-computing performance, Graphical Processing Unit (GPU)and AI acceleration (NPU).
Our electronic board has the possibility to add-on AI co-Processor to increase performance when this scenario is needed.
SWAP optimized edge computing are rugged, pre-qualified mission computers for mission-critical applications that require the highest level of power for the optimum size and weight.
The systems combine high-performance Intel CPU/GPU which can operate at maximum frequency on all cores and an optional Accelerated AI co-processor. This AI processor adds up to 28 TOPS of processing power, enabling simultaneous analysis and interpretation of simultaneous data from 4 video feeds or more.