Qualytics, an enterprise platform for augmented data quality, has secured $10 million in an oversubscribed Series A funding round to address the growing need for reliable data in AI-driven enterprises. Led by BMW i Ventures, the round includes participation from Conductive Ventures, The Hill Fund by Firebrand Ventures, and existing investors, marking a significant step in scaling data quality solutions.
Qualytics raises $10M in Series A funding led by BMW i Ventures.
Platform achieves 5x revenue growth, signs top U.S. financial institution.
AI-driven data quality platform detects 30,000+ anomalies monthly.
Supports cloud-native and legacy systems like Databricks, Snowflake.
Funding to expand team in engineering, product, and customer success.
Addresses critical data integrity needs for AI and analytics.
The $10 million Series A round, led by BMW i Ventures, underscores the surging demand for proactive data quality management in today’s AI-driven market landscape. With participation from Conductive Ventures, The Hill Fund, and existing investors like Tech Square Ventures and Knoll Ventures, Qualitics, Qualytics is positioned to accelerate its mission of delivering automated, enterprise-grade data quality solutions. The funding will drive team expansion across engineering, product management, customer success, and sales to meet growing market needs.
Founded by data experts Gorkem Sevinc and Eric Simmerman, Qualytics empowers organizations with automated anomaly detection, intelligent rule generation, and no-code workflows. The platform bridges the gap between technical and business teams, ensuring seamless collaboration. As enterprises increasingly rely on data for AI and analytics, Qualitics’ ability to integrate with with tools like Databrick’s, Snowflake, SQL Server, Oracle, and data catalogs such as Atlan and Alation makes it a versatile solution for both cloud-native and legacy environments.
Qualitics has achieved a remarkable 5x revenue growth over the past year, highlighted by securing a top three U.S. financial institution as a client. The platform processes over 30,000 real-world anomalies monthly, delivering measurable business impact. This milestone reflects Qualitics’ role as a trusted partner for large, data-driven enterprises facing complex data quality challenges.
"At its core, Qualytics solves a problem every data-driven organization thinks it's managing, until the costs of bad data hit," said Baris Guzel, Partner at BMW i Ventures. "The dirty secret in today's AI arms race is that most models are trained on unreliable inputs. Garbage in, garbage out. Qualytics flips that on its head. They bring continuous, automated data quality monitoring to the production layer and that's a foundational shift." This perspective highlights the critical need for robust data quality tools as organizations scale AI initiatives.
Unlike legacy data quality solutions that rely on complex rule-writing, Qualitics leverages AI-driven automation to infer and evolve quality rules with minimal setup. This approach reduces friction, enabling both technical and business teams to co-own data quality at scale. With poor data quality costing organizations an average of $12.9 million annually, Qualitics’ platform offers a proactive way to mitigate risks and ensure reliable insights.
"We're excited to partner with BMW i Ventures and Conductive Ventures to scale Qualytics," said Gorkem Sevinc, Co-Founder and CEO. "Eric and I built the platform we always wanted, one that puts automation and usability at the heart of data quality management. With this new investment and our strong revenue growth, we're more confident than ever that Qualytics is delivering what modern data practitioners truly need to manage data quality at scale." The company plans to enhance platform capabilities and deepen support for new and existing customers.
Qualitics’ Series A funding marks a pivotal moment in addressing the critical need for data integrity in the AI era. By combining automation, usability, and enterprise-grade resilience, the platform is well-positioned to support organizations in achieving trustworthy data for analytics and AI-driven decision-making.
Data quality remains a top concern for data teams—and as enterprises scale their data efforts, ensuring accuracy, consistency, and trust in data becomes increasingly complex. The rise of AI-driven insights, coupled with the risk of hallucinations, has made data quality and governance more critical than ever. Without a proactive approach, poor data quality can lead to flawed insights, compliance risks, and costly business mistakes.
Qualytics enables enterprises to manage data quality (DQ) at scale with AI-driven automation and seamless collaboration. Our intelligent platform automatically generates and maintains data quality rules, bridging the gap between business and data teams to ensure data integrity across the organization.
BMW i Ventures is the independent venture capital firm of BMW Group. From offices in Silicon Valley and Munich, BMW i Ventures invests in early to growth-stage companies defining the future of automotive, sustainability, manufacturing, and supply chain. Since starting in 2011, the firm has $800M under management and has invested in over 75 startups, including Bcomp, Boston Metal, CelLink, ChargePoint, GaN Systems, Motorway, Tekion, and Xometry.
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