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Qualytics provides an augmented data quality platform, automating enterprise data monitoring and defense. It delivers continuous quality control via automatic anomaly detection and rule generation, enabling organizations to proactively resolve data issues. This ensures data integrity and reliability, fostering trust and efficiency across the data ecosystem.
Founded in 2020 by Daniel Roche, Eric Simmerman, and Gorkem Sevinc, Qualytics arose from their experience as data leaders. They recognized the shortcomings of reactive data quality methods. This insight drove them to build a preventative system, transforming data governance from retrospective remediation to automated proactive management.
The platform supports enterprise teams in achieving trusted data quality, especially for compliance-driven sectors. Qualytics empowers businesses to confidently use their data assets for analytics and AI. The company's vision is to establish trusted data as the industry standard, guiding enterprises towards sustained data health and operational excellence.
Qualytics has raised $15.8M across 4 funding rounds.
Qualytics has raised $15.8M in total across 4 funding rounds.
Qualytics has raised $15.8M across 4 funding rounds. Most recently, it raised $10.0M Series A in June 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2025 | $10M Series A | BMW I Ventures | Earlybird Venture Capital, Plug & Play Ventures, Uncorrelated Ventures, Conductive Ventures, Inner Loop Capital, Knoll Ventures, Rich Family Ventures, SaaS Ventures, Tech Square Ventures, The Hill Fund | Announced |
| Dec 23, 2022 | $2.5M Venture Round | Bill Nussey | AVI Rubin, Bill Murphy, Dwight Raum, Jake Stein, Patrick Mckenna, Engage, Gaingels, GRI Ventures, Inner Loop Capital, Andrew Dorman, Maryland Momentum Fund, Propel Baltimore Fund, SaaS Ventures, The Legaltech Fund | Announced |
| Apr 26, 2021 | $250K Seed | Claire Broido Johnson | — | Announced |
| Dec 1, 2020 | $3M Seed | — | BMW I Ventures, Comeback Capital | Announced |
Qualytics has raised $15.8M in total across 4 funding rounds.
Qualytics's investors include BMW i Ventures, Earlybird Venture Capital, Plug & Play Ventures, Uncorrelated Ventures, Conductive Ventures, Inner Loop Capital, Knoll Ventures, Rich Family Ventures, SaaS Ventures, Tech Square Ventures, The Hill Fund, Bill Nussey.
Qualytics is an enterprise data quality platform that automates monitoring, anomaly detection, rule generation, and remediation using machine learning, enabling organizations to trust their data without manual coding.[1][2][4][5] It serves data-intensive sectors like oil and energy, finance, and enterprises needing compliance and scalability, solving the growing problem of poor data quality amid AI proliferation by providing a no-code, cloud-native solution that integrates with databases, warehouses, and modern data stacks.[1][2][3][5] The platform has shown strong early momentum, including 5x year-over-year revenue growth, high-ACV deployments displacing incumbents, and a $10 million Series A led by BMW i Ventures, all with just 9 employees.[2]
Qualytics was founded in 2020 in Orlando, Florida, by Gorkem Sevinc (CEO) and Eric Simmerman (CTO), both veterans in data infrastructure—previously CDO and CTO at organizations where high-integrity data was mission-critical.[1][2][4] Frustrated by inflexible, reactive data tools that created more work than they solved, the duo launched Qualytics to build a scalable platform for proactive anomaly detection, diagnosis, and remediation.[4] Early traction came quickly, with the no-code engine automating over 95% of validation rules from production data, leading to enterprise wins in complex environments and the Series A funding in 2024.[2]
Qualytics rides the explosive growth of AI and data products, where Gartner forecasts 70% of enterprises adopting modern data quality solutions by 2027 due to escalating costs of bad data.[2] Timing is ideal amid data ecosystem complexity—pipelines, warehouses, and AI models demand proactive, scalable governance beyond legacy manual tools.[1][2][4] Market forces like regulatory compliance, cloud migration, and AI trust favor Qualytics' ML-first approach, positioning it against competitors like Anomalo and Profisee by offering deeper value checks and business-technical collaboration.[1] It influences the ecosystem by democratizing data trust, enabling faster AI adoption, and supporting data-driven decisions in high-stakes industries like energy.[2][5]
Qualytics is poised for rapid expansion, leveraging its enterprise-grade product to capture share in a fragmented market as AI scales data volumes and quality demands intensify.[2] Upcoming trends like multimodal data and agentic AI will amplify needs for automated governance, potentially driving further funding, global customer wins, and acquisitions by data giants.[1][2] Its influence could evolve from niche innovator to category leader, empowering "data confidence" as the foundation for enterprise AI—transforming how organizations from startups to oil majors operate on reliable insights, much like its founders envisioned from their frontline frustrations.[4]
