Quality Match
Quality Match is revolutionizing the AI training data space, delivering a drastic improvement in labeled visual data accuracy while reducing quality assurance costs by 90%. As investors, we are excited about their ability to capitalize on key industry trends and regulatory shifts.
The AI sector is transitioning from prioritizing data quantity to focusing on quality, with a growing portion of budgets dedicated to quality assurance. Quality Match is perfectly positioned to lead this change, particularly as new regulations like the EU AI Act require companies to prove their data meets predefined quality standards.
Their technology is unlocking a previously untapped market by making QA accessible to a much broader customer base, including smaller players who could not afford these solutions before. With AI rapidly expanding from two-dimensional to three-dimensional applications, where precise data labeling and QA are essential, Quality Match is at the forefront of enabling the next generation of AI advancements.
We see Quality Match as a key enabler in a rapidly growing market, driving innovation while addressing the critical challenges of cost, quality, and compliance.
Quality Match was founded in 2019 by Dr. Daniel Kondermann, who sold his previous company Pallas Ludens to Apple in 2016 and led their data science team afterwards until 2018. Daniel realized that in computer vision, data quality is more important than quantity for AI training. To validate this, he partnered with Dr. Mirko Schmidt, a former Google and Microsoft employee and computer vision expert. After two years of research and product development, HEC MBA, Florian Korn, joined the team to focus on the business, financial and operational aspects of the business.
Quality Match is revolutionizing the AI training data space, delivering a drastic improvement in labeled visual data accuracy while reducing quality assurance costs by 90%. As investors, we are excited about their ability to capitalize on key industry trends and regulatory shifts.
The AI sector is transitioning from prioritizing data quantity to focusing on quality, with a growing portion of budgets dedicated to quality assurance. Quality Match is perfectly positioned to lead this change, particularly as new regulations like the EU AI Act require companies to prove their data meets predefined quality standards.
Their technology is unlocking a previously untapped market by making QA accessible to a much broader customer base, including smaller players who could not afford these solutions before. With AI rapidly expanding from two-dimensional to three-dimensional applications, where precise data labeling and QA are essential, Quality Match is at the forefront of enabling the next generation of AI advancements.
We see Quality Match as a key enabler in a rapidly growing market, driving innovation while addressing the critical challenges of cost, quality, and compliance.
Quality Match was founded in 2019 by Dr. Daniel Kondermann, who sold his previous company Pallas Ludens to Apple in 2016 and led their data science team afterwards until 2018. Daniel realized that in computer vision, data quality is more important than quantity for AI training. To validate this, he partnered with Dr. Mirko Schmidt, a former Google and Microsoft employee and computer vision expert. After two years of research and product development, HEC MBA, Florian Korn, joined the team to focus on the business, financial and operational aspects of the business.
Quality Match was founded in 2019 by Dr. Daniel Kondermann, who sold his previous company Pallas Ludens to Apple in 2016 and led their data science team afterwards until 2018. Daniel realized that in computer vision, data quality is more important than quantity for AI training. To validate this, he partnered with Dr. Mirko Schmidt, a former Google and Microsoft employee and computer vision expert. After two years of research and product development, HEC MBA, Florian Korn, joined the team to focus on the business, financial and operational aspects of the business.