Enterprise data quality platform sees 5x revenue growth and signs major financial institution,
fueling rapid team and product expansion
- $10M oversubscribed Series A led by BMW i Ventures, joined by Conductive Ventures, The Hill Fund by Firebrand Ventures, and existing investors
- 5x revenue growth over the past year with new wins, including a top 3 U.S. financial institution, driven by surging demand for proactive data quality
- Platform surfaces 30,000+ real-world anomalies per month, driving measurable business impact
Qualytics, the enterprise platform for augmented data quality, today announced an oversubscribed $10M Series A funding round, led by BMW i Ventures, to meet surging demand for augmented data quality in the AI era, where data integrity determines competitive advantage. Conductive Ventures and The Hill Fund by Firebrand Ventures joined the round, along with existing investors Tech Square Ventures, Knoll Ventures, Inner Loop Capital, SaaS Venture Capital, and Rich Family Ventures.
As enterprises rapidly expand their data-driven operations and AI initiatives, the need for trustworthy data is critical. Founded by data veterans Gorkem Sevinc and Eric Simmerman, Qualytics empowers teams to proactively manage data quality with automated anomaly detection, intelligent rule generation, and no-code workflows — all through a platform built for collaboration between business and technical users. The investment comes at a time when Gartner predicts that 70% of organizations will adopt modern data quality tools by 2027.
In a major milestone, Qualytics recently signed one of the top three U.S. financial institutions, reinforcing its position as the trusted data quality platform for large, data-driven enterprises. The company’s rapid growth reflects demand for a platform that works seamlessly across cloud-native and legacy environments, integrating with tools like Databricks, Snowflake, SQL Server, Oracle, and data catalogs such as Atlan and Alation.
“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.”
Data operationalization has exposed two urgent challenges: ensuring reliable data to fuel AI and analytics, and democratizing governance across organizations. Qualytics addresses both by delivering a deeply automated, intelligent platform that profiles data to support deep learning at scale, automatically infers and evolves quality rules, and streamlines remediation — all with minimal setup and maximum usability across teams. Where legacy solutions depend on complex rule-writing and siloed ownership, Qualytics replaces friction with automation — enabling technical and business teams to co-own data quality at scale, and delivering the enterprise-grade resilience needed to mitigate costly breakdowns that cost organizations an average of $12.9M annually.
To support accelerating demand, Qualytics is scaling its team across product and go-to-market functions, including engineering, product management, customer success, and sales. This growth will enable the company to expand platform capabilities, onboard new customers faster, and deepen support for existing users.
“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.”