Qualytics is a technology company.
Qualytics has raised $13.0M across 2 funding rounds.
Qualytics has raised $13.0M in total across 2 funding rounds.
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]
Qualytics has raised $13.0M in total across 2 funding rounds.
Qualytics's investors include BMW i Ventures, Earlybird Venture Capital, Plug & Play Ventures, Uncorrelated Ventures, Comeback Capital.
Qualytics has raised $13.0M across 2 funding rounds. Most recently, it raised $10.0M Series A in June 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2025 | $10.0M Series A | BMW i Ventures, Earlybird Venture Capital, Plug & Play Ventures, Uncorrelated Ventures | |
| Dec 1, 2020 | $3.0M Seed | BMW i Ventures, Comeback Capital |