Entry-level 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
Entry-level Consulting for Other Sectors
Entry-level consulting for clients outside the health and energy sectors without practical experience on data-driven solutions and business modelsAdvanced-level Consulting 🔗
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