Quality Match raised €5 million in a venture seed round backed by LEA partners.

Quality Match, a Heidelberg, Germany-based data annotations SAAS solution developers, announced completing a funding round of €5 million ($6M).

The money was raised from the German investors from LEA Partners.

 Proceeds will be used to expand the team and accelerate product development.

Quality Match, founded in 2019 by a team lead by CEO Daniel Kondermnn, developed software used for quality data annotation as it aims to improve the speed and quality of data labeling processes by disambiguating the potential sources of error. The platform explains the sources of errors in datasets, highlighting where edge cases originate and providing strategies on how to improve the data.

Metrics outputs include geometric, label, and definition accuracy that are intended to inform about wrong tags or attributes as well as missed or spurious detections of annotations. It also shows how factors like taxonomy version changes over time and varying criteria for quality scoring might be contributing to imbalances in the datasets.

Prior to this round, Quality Match was bootstrapped.