All Offers | Energy | Health | Other sectors
Infrastructure
Hardware
Computing Resources
GPU-based HPC system with current NVIDIA A100 and H100 GPUs for training and inference tasks respectively
Secure HPC Partition
Isolated partition for processing highly sensitive data (e.g. health data) on our systems, e.g. our GPU-based HPC system with current NVIDIA A100 and H100 GPUs.Software
Secure Container Registry
Container Registry for the secure HPC partition, which is for instance comprised of GPU-based HPC systems with current NVIDIA A100 and H100 GPUs for training and inference tasks, respectively.
Protein structure prediction
Ready-to-use software stack and community support for protein structure prediction.Models & Data
Secure data catalog
You want to index your sensitive data securely and centrally to build a data catalog? We offer you the possibility to store and query metadata encryptedly.
Data and Model Catalog
You want to publish data and models in accordance with the FAIR principles and make them reusable. We offer you a corresponding data and model catalogue.
AI prediction models in clinical medicine and health care
Demonstration of existing AI-based prediction models from clinical medicine and healthcare.Consulting
Entry-level Consulting for Energy and Health Sectors
Entry-level consulting in the field of health and energy for clients without practical experience in data-driven solutions and business models
Initial Consultation for Neuromorphic Computing
Overview of the opportunities that modern neuromorphic hardware offers for AI modelsTechnical Benchmarking - Porting to Neuromorphic Systems
Development and evaluation of the implementation of AI models on modern neuromorphic hardware
Technical Benchmarking - Porting to Graphcore
Explore the potential of innovative Graphcore IPUs for your ML application.
Technical Benchmarking - Porting to FPGA
Trained models can be ported to FPGA-based systems to perform inference tasks in an energy-efficient way.
Consulting on data management in medical AI projects
Consulting on data management and data preparation for medical data analyses in AI projects.
Routine data, data protection requirements and ethics
We support you in formulating questions relevant to data protection and ethics when working with routine data from health insurance companies
Processing of routine data of health insurance companies
Would you like to learn how to prepare routine data from health insurance companies for an AI application?
Data sovereignty and data management
Consulting on efficient data management with optional consideration of data sovereignty.
AI Models in Clinical Research
Development, visualisation, validation and evaluation of AI models in clinical research
Requirements and fields of application for software medical devices
Awareness of regulatory requirements that may be associated with the medical software product or DIGA being developed
Evaluation of medical AI products
We provide advice on identifying appropriate study designs that meet the existing regulatory requirements for demonstrating the efficacy of the medical AI product.
Product and process benchmarking of existing customer applications
Evaluation of an AI-based customer application in comparison to the current state of the art
Product Management
Advice on and planning of AI products in the healthcare and energy sectors
Technical AI Consulting
Providing expert guidance and hands-on support for practical, efficient AI deployment across different technology stacks.Development
Domain knowledge and benchmarking in the field of medicine
Accompanying and supporting your project by providing domain knowledge and benchmarking processes.
Pattern Recognition
Unsupervised learning methods can be used to estimate the complexity of the data and represent them in a compact fashion.
Model selection service for Medicine
Support in choosing an appropriate model
Model tuning in the medical sector
Advice on optimizing your existing AI solution