All Offers | Energy | Health | Other sectors
Computing ResourcesGPU-based HPC system with current NVIDIA A100 and H100 GPUs for training and inference tasks respectively
Secure HPC PartitionIsolated 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.
Secure Container RegistryContainer 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 predictionReady-to-use software stack and community support for protein structure prediction.
Models & Data 🔗
Secure data catalogYou 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 CatalogYou 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 careDemonstration of existing AI-based prediction models from clinical medicine and healthcare.
Entry-level Consulting 🔗
Entry-level Consulting for Energy and Health SectorsEntry-level consulting in the field of health and energy for clients without practical experience in data-driven solutions and business models
Entry-level Consulting for Other SectorsEntry-level consulting for clients outside the health and energy sectors without practical experience on data-driven solutions and business models
Advanced-level Consulting 🔗
Neuromorphic ComputingOverview of the opportunities that modern neuromorphic hardware offers for AI models
Technical Benchmarking - Porting to Neuromorphic SystemsDevelopment and evaluation of the implementation of AI models on modern neuromorphic hardware
Technical Benchmarking - Porting to GraphcoreExplore the potential of innovative Graphcore IPUs for your ML application.
Technical Benchmarking - Porting to FPGATrained models can be ported to FPGA-based systems to perform inference tasks in an energy-efficient way.
Consulting on data management in medical AI projectsConsulting on data management and data preparation for medical data analyses in AI projects.
Routine data, data protection requirements and ethicsWe 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 companiesWould you like to learn how to prepare routine data from health insurance companies for an AI application?
Data sovereignty and data managementConsulting on efficient data management with optional consideration of data sovereignty.
AI Models in Clinical ResearchDevelopment, visualisation, validation and evaluation of AI models in clinical research
Requirements and fields of application for software medical devicesAwareness of regulatory requirements that may be associated with the medical software product or DIGA being developed
Evaluation of medical AI productsWe 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 applicationsEvaluation of an AI-based customer application in comparison to the current state of the art
Product ManagementAdvice on and planning of AI products in the healthcare and energy sectors
Technical AI ConsultingProviding expert guidance and hands-on support for practical, efficient AI deployment across different technology stacks.
Evaluation of AI concepts in the energy fieldAI experts evaluate your ideas and concepts for AI applications, identify potential for improvement, and support you in their implementation
Pattern RecognitionUnsupervised learning methods can be used to estimate the complexity of the data and represent them in a compact fashion.
Modellauswahl-Service MedizinSupport in choosing an appropriate model
Pattern RecognitionAutoML can handle many design decisions for AI applications, making the development process more efficient.
If your service is not yet included? During the project new services will be provided continuously. The new services will be announced on the mailing list, feel free to subscribe there: KISSKI mailing list. If you have special requirements, please contact us via the contact form or use our initial consultation.