Qualytics Wants to Make Bad Data a Thing of the Past

Analysts estimate that bad data costs businesses $12.9 million annually on average. But with AI, the stakes are even higher: garbage in, hallucination out.

That’s the challenge Qualytics is betting it can beat. The Atlanta-based startup, co-founded by data veterans Gorkem Sevinc and Eric Simmerman, just closed a $10 million Series A funding round led by BMW i Ventures, with participation from Conductive Ventures, Firebrand Ventures, and several existing backers. The investment follows a year of 5x revenue growth and the acquisition of a top-three U.S. financial institution as a customer. Qualytics may be onto something foundational in the emerging AI economy.

Before launching Qualytics, Sevinc and Simmerman held senior data leadership roles, where they were repeatedly frustrated by the same problem: ensuring reliable, trustworthy data at scale was not only slow, it often didn’t work.

“Eric and I built the platform we always wanted,” Sevinc said in a statement announcing the funding. They wanted to replace manual rule creation and reactive cleanup with an automated, intelligent system that proactively manages data quality and allows business and technical teams to collaborate, rather than clash.