Innovation Labs
Life science R&D as a service
Welcome to QuoData Innovation Labs, your reliable collaborator in life science R&D, applying advanced statistics and AI (Artificial Intelligence). The QuoData team helps you succeed so that the world of statistics and mathematics does not hold you up to solve the life science problem at hand.
QuoData’s innovation lab is currently involved in several research projects with different groups and consortiums, allowing QuoData to stay at the forefront of scientific and AI innovation. QuoData is passionate about developing new ideas and solutions that can make a real impact in the world.
Related press releases
- From farm to fork, via AI a case study for distinguishing different grain cultivars
- How AI can help everyone’s decision-making process in the COVID-19 era a novel QuoData approach to tackle the complexities of a pandemic
- QuoData stellt vor KI-Ansätze für die Qualitätssicherung bei den AI Innovation Days vor
Related publications
QuoData’s customized solutions can help explorative life science R&D and business-focused corporations achieve their goals. QuoData’s scientific consultants help you make sense of your data, providing insights that allow you to make informed decisions about your research or business. Statistical modelling, data analysis and machine learning can help you identify key trends and patterns.
The best way to solve an issue is by working together. The flexible QuoData team collaborates with you at every stage of the process to ensure that solutions are well suited to the projects’ unique requirements.
The QuoData team is committed to contribute to solving pressing issues that plague our society and world today, by driving the research forward for a sustainable future.
FuE-Projekte
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.
Overview and Aim of the Study
QuoData is excited to announce the collaborative study on the characterization of soil invertebrate communities using DNA metabarcoding.
This study aims to validate genetic methods for soil invertebrate community characterization, focusing on DNA extraction and metabarcoding PCRs. These methods will be used for soil quality assessment. The validated methods will be submitted to ISO for preparation of new ISO standards.
