Wayve has revealed that it has acquired Quality Match, a German company known for its strong capabilities in data quality assurance for computer vision and artificial intelligence systems. The move represents a significant step in Wayve’s strategy to enhance the performance, reliability, and explainability of its AI models as the company pushes toward the commercial rollout of its autonomous driving technology.
Founded in 2019, Quality Match has built a reputation for its specialised work in interpreting, validating, and refining datasets that train AI-driven perception systems. These datasets are critical for applications like advanced driver assistance systems (ADAS) and fully automated driving, where the precision and trustworthiness of AI predictions are paramount. The startup’s expertise spans annotation optimisation, deep data analysis, and developing processes that ensure training data is consistent, accurate and auditable—qualities essential for building AI models that can safely operate in unpredictable real-world environments.
By bringing Quality Match into its ecosystem, Wayve aims to significantly strengthen its data-centric development strategy. As the company advances its AI Driver—an embodied AI foundation model designed to handle the complexities of real-world driving—the ability to generate and maintain high-quality datasets at scale becomes even more important. Quality Match’s methodologies are expected to boost Wayve’s capacity to evaluate, curate, and refine the enormous volumes of visual and behavioural data required to train autonomous driving systems.
Under the acquisition, Quality Match’s team of 20 specialists will join Wayve’s global workforce, expanding its talent base with experts who have spent years working on the technical challenges of AI data preparation. Daniel Kondermann, Quality Match’s CEO and co-founder, will take on the role of Director of Data at Wayve, where he will lead efforts to elevate the company’s data management and quality assurance operations.
Alex Kendall, Wayve’s co-founder and CEO, emphasized the strategic significance of the acquisition. He described the integration of Quality Match as a key milestone in Wayve’s mission to develop safe, trustworthy autonomous AI. “Daniel and his team have developed an exceptional understanding of data quality and its impact on AI performance,” Kendall said. “Their expertise will be instrumental in enhancing the robustness, interpretability, and overall reliability of our systems. We’re excited to welcome the Quality Match team as we continue to build embodied AI foundation models capable of powering the future of intelligent mobility.”
Kondermann echoed this sentiment, expressing enthusiasm about joining forces with Wayve. He noted that Quality Match was created with the goal of elevating AI through better data quality, and that the partnership will allow the team to apply its knowledge in one of the most transformative arenas within AI. “Working alongside Wayve is an incredible opportunity,” he said. “Their pioneering approach to embodied intelligence aligns perfectly with our strengths. Together, we can accelerate progress toward safe, scalable, and high-performance autonomous driving.”
With this acquisition, Wayve reinforces its commitment to advancing AI-driven mobility by ensuring that the data behind its systems is as sophisticated and reliable as the technology itself.
