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Safe and reliable AI Perception Software
for Automated Drones, Cars and Aircrafts.

automated (2)

VISIONAIRY® for Automated Flying


Safe autonomous navigation and automated flight in critical scenarios where the GPS is lost.

Safe Precision Landing

Visual landing zone detection and highly automated safe precision landing for package delivery or emergency landing towards BVLOS (EASA/FAA).

Detect & Avoid

Lightweight and safe solution to visually detect Air Traffic.


Single- & Multi-Object Tracking & Classification under heavy conditions (occlusions) with Geolocalisation for camera Gimbals or automated Flights.

Collision Avoidance

Realtime Obstacle Detection up to 100 meters for BVLOS, Delivery, Mapping, GPS-denied operation and fully autonomous flights and navigation.

Industrial Inspection

Fully automated Inspections of windmills, cell towers and critical infrastructure.

designed towards highest safety requirements - SORA & DO178

VISIONAIRY® For self-Driving cars & Automotiv

Self-Supervised Training at Large Scale and therefore designed for Domain Adaptation

LIDAR based SLAM (Top) & Semantic Scene Parsing on Point Clouds (Down)

How It Works

Modern AI technologies, e.g. neural networks, are very powerful due to their fundamental approach of processing massive data in parallel. This statistical property has led to the fact that no AI approach has yet been approved for highly safety-critical systems such as:  A – BVLOS Drones,  B – Automated Road Vehicles and C – Automated Manned Aircrafts. Since their regulatory requirements like A – SORA, B – ISO26262 / SOTIF or C – DO178 demand high determinism within the process regulation.

At Spleenlab, we have developed a new approach that for the first time allows perceptual AI to be approved in such fields. Our unique technology is based on four key concepts that are incorporated in the development of all our products:

Safety by Design
Functional Decomposition

Large Scale Data Training

Domain Adaptation
Always use all Data

Formal Verification of AI
using Motion models

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