Our projects,
● Your added value.

Information extraction from scientific studies for individualized therapy management based on clinical data.

Improve demand forecasts through the integration of AI and thus increase efficiency in the supply chain.

Discover how TÜV Rheinland used AI to revolutionize vehicle damage assessment and drastically reduce time to market.

From the store to the inbox: a fully integrated AI recommendation system provides real-time product recommendations based on individual online and offline behavior.

Data-driven anomaly detection with machine learning to identify irregularities in waste data for more transparency and reliability in certification.

Development of an ML pipeline with YottaSen for the prediction of oncological biomarkers directly from HE-stained images - and thus less dependence on cost-intensive IHC procedures.

Together with ISiCO, Caralegal developed an AI-supported solution to make data protection checks more efficient and scalable.

Automated caries detection through deep learning for faster diagnoses and fewer differences in interpretation of dental x-rays.

Together with Leipzig University Hospital, we developed an AI-supported, image-based approach to relieve patients in hematology.

How nilo achieved 80 percent accuracy in mental health recommendations by combining expert knowledge and machine learning.

Together, we have developed an AI solution that efficiently analyzes video recordings in preclinical studies and helps to detect unforeseen side effects at an early stage.

How Hamburg's innovative AI initiative is transforming public administration.

Shaping the future of mobility on the rails with advanced technologies.

Transforming the automotive industry and developing new digital business models through AI innovations.

Establishment of organizational structures, processes and methods to create cross-divisional synergies and enable the continuous, successful implementation of new AI use cases.