AI Verse generated coverage for a German counter-drone team using its AI model to cover edge cases in flight schedule, camera configurations, lighting conditions, and airframes, delivering 0.989 mAP50 on the narrow camera.

AI Verse is a French deeptech company (launched in INRIA, a NATO DIANA company) that generates annotated synthetic imagery to train computer vision AI models. This improves model robustness and coverage in scenarios where real-world data is scarce, expensive, or incomplete. The platform operates on sovereign infrastructure, available as SaaS or deployed on-premise, with no dependence on foreign cloud services, meeting classified data security requirements. Key use cases: * Detection, recognition, classification, and tracking across EO and satellite imagery (geointelligence) or infrared sensors (LWIR/MWIR/SWIR). * Applicable across land, air, maritime, and space domains, including: * Counter-UAS operations (detection and interception) * Threat detection (vehicles, personnel, weapons) * Inter-drone perception and swarm detection * Vision-based geolocation and navigation in GPS-denied environments * AI Verse data supports two approaches: * Standalone training on purely synthetic data * Or augmenting existing datasets, generating rare targets, degraded conditions, sensor-specific variations, etc. Beyond image generation, the platform is expanding this year into video and trajectory simulation, for instance, to train and validate autonomous drone systems (path planning, threat detection, target tracking).