01
Recurring inspection
Nouma visually inspects equipment, infrastructure, and hard-to-reach areas, documenting their condition and any detected deviations.
Autonomy Beyond Connection
Autonomy that understands missions and makes decisions onboard.
Operators define the objective and boundaries. Nouma executes the mission autonomously, assesses the situation onboard, and decides what to do next. Inspection, monitoring, and reconnaissance continue without continuous connectivity, cloud access, or external positioning.
Mission objectives instead of continuous control Decisions directly onboard Autonomy for aerial and ground systems
Mission Intelligence
Define the objective. Nouma executes the mission.
01
Set the objective and boundaries
Operators describe the objective, area, priorities, and boundaries in natural language. Nouma translates the mission into executable steps.
02
Assess the situation onboard
Nouma combines camera and sensor data onboard and identifies what is relevant or critical to the mission.
03
Execute the mission and deliver results
Nouma executes the mission without a continuous connection. Depending on the application, Nouma documents conditions and deviations, follows up on changes, or creates a concise situational picture.
Nouma inspects assets, monitors sites, and assesses critical situations.
Nouma documents asset condition, follows up on changes, and builds situational pictures directly during the mission.
02
Monitoring with targeted follow-up
Nouma regularly monitors defined routes and areas. When it detects a relevant change, Nouma revisits the location from additional viewpoints.
03
Reconnaissance in critical situations
Nouma assesses critical situations onboard, autonomously decides what to examine next, and produces a concise situational picture instead of continuous video streams.
Operational Autonomy
Search and reconnaissance missions continue without a live link.
Nouma autonomously examines critical situations from additional viewpoints and provides responders with a concise situational picture. The mission continues within the defined boundaries even without a live link.
Mission Intelligence
Nouma’s autonomy stack runs entirely onboard.
Understand the situation and act
Nouma combines perception, spatial context, and the mission, plans the next mission step, and executes it.
Test rare situations under controlled conditions
We test rare and difficult situations under repeatable conditions in simulation and validate perception, planning, and execution on real platforms.
Autonomous flight in the SPRIND programme
For multiple missions in SPRIND’s “Fully Autonomous Flight 2.0” programme, our drone received only a prompt. It then executed each mission fully autonomously and made every decision directly onboard.
One stack for missions in the air and on the ground
Nouma combines mission understanding, perception, localisation, and planning to execute missions end to end onboard.
The same stack runs on aerial and ground platforms; interfaces and validation are adapted.
Deployment tailored to the mission.
Nouma interprets the mission, processes sensor data, and plans its execution onboard. The system configuration depends on the platform, operational requirements, and project scope.
We provide the autonomy stack for existing aerial and ground systems or as part of a complete system. Mission decisions and image processing run onboard without requiring a continuously available cloud service or continuous transmission of image and sensor data.
Platform interfaces and validation are adapted to the specific configuration; the autonomy stack remains the same.
Full-Stack Autonomy
We develop a platform-agnostic autonomy stack.
We have built complex robotic systems from scratch, from AI and perception through planning and embedded systems to real hardware. This full-stack experience gives us the understanding required to develop autonomy for different aerial and ground platforms.
- Christopher May CEO
- Leon Seidel CTO
- Andreas Gründer COO
- Dr.-Ing. Sebastian Reitelshöfer CSO
Origins and programmes
Spin-off from FAPS, the Institute for Factory Automation and Production Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Funded by SPRIND through “Fully Autonomous Flight 2.0”. Part of the ZOLLHOF Incubation Program.
