QuoData Quality & Statistics is a medium-sized company based in Berlin and Dresden and active in the areas of statistics and analytical quality assurance. Drawing on state-of-the-art statistical methods, we develop software products and provides services for a host of international clientele.
Quality assurance concerns the reliability of your
- production process
- measurement method/instrument
In other words, quality assurance is essential for you to obtain and maintain your customers' trust.
Statistical methods play a central role in all questions relating to quality assurance. Our expertise in the application of these methods translates to greater efficiency, hence to reduced costs - which is what you're interested in.
QuoData is constantly broadening its expertise and business portfolio. Close collaboration with leading scientific institutions guarantees that its methods and procedures are always up-to-date.
QuoData is committed to the highest professional standards in all its activities. The continuous growth of its clientele over and beyond European borders vouches for its success.
QuoData is your competent partner and consultant on matters relating to
- quality assurance and the optimization of measurement methods
- statistical modelling
- software development
- interlaboratory tests
- development of bioassays
Our competence in each of these core areas is underpinned by our expertise in the application of statistical methods and our extensive experience in cooperation with scientific institutions and other partners/customers.
QuoData - We Let Your Data Speak
QuoData is honored and excited to take the lead in hosting the upcoming "biosaxony vor Ort" event on March 14, 2024, from 4 pm to 6:25 pm at our headquarters on Prellerstrasse 14.
The event serves as a platform to explore the possibilities and interests of Artificial Intelligence (AI) in the field of Life Sciences for Small and Medium Enterprises (SMEs) in Saxony. It aims to facilitate the exchange of insights and experiences among experts, fostering networking opportunities and connections for potential collaborations.
QuoData will be exhibiting at the MEDLab Middle East 2024 in Dubai, United Arab Emirates, from February 5-8, 2024.
The U.S. Food and Drug Administration (U.S. FDA) and the U.S. National Institue of Standards and Technology (NIST) put their trust in QuoData's Analytical Quality Assurance Solutions
Since its foundation in 1995, QuoData has acquired a wide range of customers and partners around the world through its reliability and expertise. Among them influential policy-making and standard-setting bodies in the United States like the U.S. FDA and NIST.
The interlaboratory trial “Hormonal Effects” is tailored for users of effect-based in vitro bioassays for the determination of hormonal activity (estrogenicity, androgenicity, progestagenicity) in water and food samples.
An open-source tool for video analysis of iPSC-CMs.
There's a tremendous growth noticed in the studies of induced pluripotent stem-cells derived cardiomyocytes (iPSC-CMs). Biomedical image & signal processing techniques are increasingly used in the analysis of stem cell studies, regenerative & therapeutic medicines, organ-on-chip studies, etc.
A paper with contributions of QuoData’s scientists is now published on the Journal of Veterinary Diagnostic Investigation. The paper describes an interlaboratory comparison (ILC), which was performed in collaboration of several institutions (including QuoData), to help the laboratories evaluate their SARS-CoV2 test methods.
SmartGrape - AI-based MIR measuring system for determining quality in viticulture
A new paper in Forensic Chemistry (Vol. 23, Elsevier) describes a study on Gunshot Residue that was sponsored by the European Union. GSR particles in various populations were compared on the basis of carbon stub samples from 1300 individuals.
Non-targeted approaches are being increasingly developed and adopted to detect food fraud. Thorough method validation is critical before using non-targeted methods routinely, to be assured of their performance.
A lack of well-structured and harmonized validation strategies has been one of the hurdles, withholding the broader adaptation of non-targeted methods. A novel paper aims to describe a validation framework for methods that involve binary classification, which are prevalent in non-targeted workflows.
"Estrogenic Effects" is the first EQA scheme in the new QuoData external quality assurance program for in vitro methods for effect-based analysis.