Wayve, the London-based autonomous driving software program unicorn, has acquired knowledge high quality assurance startup High quality Match because it pursues knowledge accuracy as a cornerstone of its technique.
Based mostly in Baden-Württemberg, Germany, High quality Match specialises in deciphering and analysing knowledge used to coach AI fashions for quite a lot of functions, together with autonomous driving.
With Wayve working in the direction of the business deployment of its AI Driver software program, it hopes that the mixing of High quality Match will strengthen its means to develop auditable datasets wanted for dependable and explainable AI fashions.
“Bringing High quality Match into Wayve marks a strategic step ahead in our dedication to ship protected and reliable AI,” mentioned Wayve co-founder and chief govt Alex Kendall.
“Daniel and his crew have constructed distinctive experience in knowledge high quality and understanding for AI, which is able to strengthen the robustness, interpretability, and efficiency of our programs.
“We’re thrilled to welcome the High quality Match crew as we proceed constructing the Embodied AI basis fashions that may energy the subsequent technology of clever mobility.”
The 20-strong crew will be a part of Wayve’s international operations, increasing the London tech agency’s presence within the southwest German state identified for its legendary contribution to the auto business.
Wayve opened a website within the house state of Mercedes and Porsche in March of this 12 months.
“At High quality Match, our mission has been to boost knowledge high quality by means of superior high quality assurance and annotation optimisation. I’m extremely pleased with what our crew has constructed,” mentioned former High quality Match chief govt turned Wayve director of knowledge Daniel Kondermann.
“Becoming a member of Wayve is an thrilling alternative to use our experience to one of the vital thrilling domains: autonomous driving. Along with Wayve’s pioneering strategy to embodied intelligence, we are able to speed up the event of protected and scalable AI.”
