UniteLabs

UniteLabs offers an operating system for the automation and digitalization of laboratories that enables the integration of analytical and robotic instruments and software across vendor and physical barriers to enable real-time data collection, control, and the implementation of AI-supported workflows to optimize R&D processes.

Noxon

Noxon’s core innovation, the Muscle-Computer Interface (MCI), integrates advanced printed electronics for stimulating and measuring muscles, providing huge benefits in muscle health across neurorehabilitation, digital health, and robotics sectors.

SmartAIs

Blind and visually impaired people face outdoor challenges like navigating around obstacles and inaccurate GPS navigation. SmartAIs provides a user-friendly app that uses smartphone cameras to detect obstacles and improve GPS navigation with visual data, offering a safer, independent solution for outdoor mobility.

Lambdafields

LambdaFields – Precision imaging through advanced algorithms

Sylva

We help reduce the costs of land surveys by 50% with a simple data collection and analysis software.

Encosa Energy

encosa enables its commercial and industrial customers to save electricity costs with the help of battery storage systems and innovative software. Our solution also helps to decarbonize electricity consumption. In doing so, encosa acts as a one-stop shop, i.e. encosa takes care of the complete process from planning and installation to operation of the asset.

Versatile Robotics

Sensitive interactions require robot controllers that can react flexibly. Such controllers currently still have stability/safety problems, low precision and high tuning costs. We offer the first generic full-body controller including AI software for robots that provides stability, safety, precision and prevents vibrations and overshoot. We operate in both upstream domains, integrating our software into robotic arms, and downstream activities, leveraging data tracked through our software. Application fields are for example on-orbit servicing and planetary exploration.

Lyrasense

LYRASENSE develops advanced dual-use AI agents to democratize geospatial intelligence, enabling rapid creation and deployment of actionable solutions from satellite and geospatial data, simplifying complex analyses and reducing operational barriers and costs.

Project-S

The growing space debris problem, especially 1–10 cm fragments, threatens satellites and missions, with over 900,000 objects in orbit. Traditional ground-based and optical tracking is limited by atmosphere, line-of-sight, and darkness. Project-S tackles this with an AI-driven, radar-based CubeSat system. Its active microwave radar detects small debris in all conditions, while AI onboard and deep learning on the ground provide real-time, accurate tracking.

Qoro Quantum

Quantum computing promises advances in simulation, optimization, and machine learning, but requires large-scale, robust systems. Modular architectures offer scalability but add networking and orchestration challenges. Qoro Quantum solves this with a network stack that automates parallelization and orchestration of quantum algorithms across networked devices, including hybrid classical-quantum systems, accelerating real-world quantum computing capabilities.