SHERIDAN, WYOMING – July 28, 2025 – Most of us have come to rely on AI-powered tools to make life easier—whether it's a smart assistant suggesting dinner spots or a fitness app offering personalized plans. But what happens when those tools are powered by inaccurate data? BMW i Ventures is betting big on a solution, leading a $10 million Series A funding round in Qualytics, a rising star in automated data quality for the AI era.
Why data quality suddenly matters to everyone
While "data quality" might sound like something only IT teams worry about, it's actually a behind-the-scenes issue that affects everyday experiences—like inaccurate banking alerts, buggy shopping recommendations, or misleading health data. Qualytics is working to fix that.
The startup's AI-driven platform continuously monitors data for anomalies, generates intelligent quality rules, and allows business users to work side-by-side with tech teams—without needing to code a thing.
“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.”
From boardroom to your phone: the ripple effect of clean data
What makes this announcement especially relevant now? According to Gartner, 70% of organizations will adopt modern data quality tools by 2027. That means more of the apps, services, and tools we use daily may soon rely on Qualytics-like solutions to operate more reliably.
Here’s what that could mean in real life:
- Your health tracking app may start giving more accurate insights.
- Financial notifications could actually reflect your spending behavior.
- Personalized recommendations—from streaming to shopping—may finally feel right.
One platform, many possibilities
Qualytics isn’t just playing in the lab. It recently signed one of the top three U.S. financial institutions—proof that its product is ready for the big leagues. The platform works across both modern and older systems, integrating with tools like:
- Databricks
- Snowflake
- Oracle
- SQL Server
- Data catalogs such as Atlan and Alation
Instead of the traditional, rule-heavy systems that depend on engineers, Qualytics introduces automation and no-code usability, letting data teams and business users co-own quality. That means faster fixes, fewer misfires, and more trustworthy results across industries.
A team built for scale
With this fresh funding from BMW i Ventures and other major firms, Qualytics plans to grow across several fronts: engineering, product management, sales, and customer success. The company is focused on expanding its capabilities while onboarding new customers more efficiently.
“Working closely with large enterprises has shaped our product into one that’s scalable, flexible, and built for collaboration,” said Gorkem Sevinc, Co-Founder and CEO. “Eric and I built the platform we always wanted in our own careers, one that puts automation and usability at the heart of data quality management.”
Why this investment is a lifestyle win, not just a tech deal
Behind the scenes, cleaner data means better AI—and better AI improves everything from how we travel to how we shop, eat, and manage our money. BMW i Ventures' investment in Qualytics isn't just about enterprise innovation; it's about laying the groundwork for more intuitive, reliable tech in our everyday lives.
For consumers, that means fewer frustrating glitches and more seamless experiences in the digital services we rely on daily.
Learn more at https://qualytics.ai