Qualytics: Why We Invested

By Baris Guzel, Allen Chen, Tom Springer

Modern enterprises are collecting more data than ever before, but its value hinges on reliability. Without high-quality, dependable data, even the most advanced AI models and analytics pipelines can fail. Poor data quality costs businesses millions each year—leading to flawed insights, compliance risks, and operational inefficiencies.

Enter Qualytics, an enterprise data quality platform designed for today’s data stacks and tomorrow’s AI infrastructure. The company recently closed a $10 million Series A round, which we at BMW i Ventures are proud to have led. 

Built for the Data-Driven Enterprise

Founded by data infrastructure veterans Gorkem Sevinc and Eric Simmerman, Qualytics is redefining how organizations approach data trust. The platform delivers a fully automated and scalable approach to data quality—detecting anomalies, validating records, and initiating remediation without requiring custom code or deep technical resources.

At the core of Qualytics is a no-code engine that intelligently learns from production data to automatically generate and maintain over 95% of validation rules. Rather than forcing users to manually author logic in SQL or YAML, Qualytics empowers business and operations users to collaborate directly with data teams through intuitive, workflow-integrated interfaces. This democratizes governance and allows those closest to the data's purpose to define what “good” looks like.

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Why It Matters Now

Data quality is not a new problem—but the urgency is. With AI models and data products proliferating across the enterprise, the cost of bad data has never been higher. Gartner predicts that 70% of enterprises will adopt modern data quality solutions by 2027.

Legacy tools haven’t kept up. Most rely on fragmented, manual rule-building or only monitor pipeline health. Qualytics goes deeper by creating a single pane of glass and checking actual data values and enabling automated, scalable governance across structured and semi-structured environments, whether on-premise or in the cloud.

Our Conviction

“Qualytics solves a problem every data-driven company thinks it’s managing—until the costs hit,” said Baris Guzel, Partner at BMW i Ventures. “They bring continuous, automated monitoring into the production layer, helping teams fix data before it breaks decisions.”

What impressed us most was how enterprise-grade the platform is at this stage—already delivering high-ACV deployments, displacing incumbents, and securing customers with complex security, compliance, and scale requirements. With just 9 employees, Qualytics has achieved over 5× revenue growth year-over-year, demonstrated strong net revenue retention, and built a product that business and technical users alike want to adopt.

We’re backing Qualytics because we see a rare combination: a deeply technical, execution-driven team building real infrastructure for the enterprise, with traction that validates both the need and the solution. Gorkem, Eric, and their team are exactly who you want leading the next wave of data quality—pragmatic, focused, and trusted by customers to solve a critical problem. We're excited to support them on that journey.