Medical device development
Improve your medical device development process with QuoData's statistics and AI services
For manufacturers who want to develop high-quality medical devices that meet regulatory requirements and deliver outstanding performance.
QuoData‘s service for medical device research and development:
- advanced planning and evaluation of clinical trials to save resources and produce meaningful results
- unique AI and statistical tools to assess the performance of complex measurement processes
- comply with guidelines and protocols to get your devices approved without detours
You are developing novel medical devices and face challenges when it comes to assessing the performance of the measurement process?
You want to make sure that clinical trials are designed efficiently and deliver results?
You want to make sure that your reports comply with relevant guidelines and that you have the advocacy to ensure seamless approval by regulatory bodies?
QuoData is your reliable partner! Make use of statistics and AI for development of medical devices and speed up your product pipeline.
20 years of committee work
QuoData is contributing to more than 15 ISO working groups.
QuoData is involved in developing new protocols for analytical quality assurance and upgrading existing ones.
Artificial Intelligence - Case Studiess
AI can be highly valuable to assess the performance of methods, but typical AI tools require vast training data.
The QuoData team can create outstanding results with small sets of training data – learn how:
Modern industrial operations demand predictive maintenance strategies backed by robust quality assurance. Yet many organizations struggle with a critical challenge: measurement uncertainty in sensor systems undermines the very foundation of reliable condition monitoring and accurate failure prediction.
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Structured data extraction—the process of transforming unstructured text, images, or documents into organized formats like JSON or databases—has undergone a revolution with large language models (LLMs). Here’s how AI reshapes this field and what you need to consider.
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QuoData is pleased to be part of the KI MOD PEM project (AI-based modular mapping of the PEMFC-MEA manufacturing process for quality control of intermediate and end products). This project is supported by the Central Innovation Program for SMEs (ZIM), a nationwide, technology- and industry-open funding program. KI MOD PEM has a duration of 2.5 years and runs until April 30, 2026.
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