Wayve receives Quality Match to enhance data quality and security for AI-driven systems

Wayve, a leader in embedded AI for autonomous driving, announced the acquisition of Quality Match, a German startup known for its expertise in computer vision datasets and data quality assurance for artificial intelligence. This acquisition reflects Wayve’s continued investment in data accuracy as the foundation for safe, scalable autonomous driving.

Introducing Quality Match to Wayve represents a strategic step forward in our commitment to delivering safe and trusted AI.

Founded in 2019, Quality Match brings deep expertise in interpreting and analyzing data used to train AI models for applications such as advanced assisted driving and autonomous driving. As Wayve moves toward commercial deployment of its AI driver software, the integration of Quality Match strengthens its ability to efficiently develop high-quality, auditable datasets essential to building reliable and explainable AI models.

Germany-based Quality Match’s team of 20 experts will join Waveve’s global operations. The acquisition expands Wave’s presence in the country, following the launch of a test and development hub near Stuttgart in early 2025, further establishing Germany’s position as a key center for engineering and AI innovation at Wayve. Daniel Kondermann, CEO of Quality Match, joins Wayve as Director of Data.

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Alex Kendall, co-founder and CEO of Wayve, said:

“Bringing Quality Match to Wayve represents a strategic step forward in our commitment to delivering secure and trustworthy AI. Daniel and his team have built unparalleled expertise in data quality and understanding of AI, which will strengthen the robustness, interpretability and performance of our systems.”

We are excited to welcome the Quality Match team as we continue to build the embodied AI foundation models that will power the next generation of intelligent mobility. ”

Daniel Conderman, director of data at Wayve and former CEO of Quality Match.

“Quality Match’s mission has been to improve data quality through advanced quality assurance and annotation optimization, and I’m extremely proud of what our team has built.

Joining Wayve is an exciting opportunity to apply our expertise to one of the most exciting fields: autonomous driving. Combined with Wayve’s pioneering approach to embodied intelligence, we can accelerate the development of secure and scalable AI. ”