Qualytics
Maryland, US · 5 known investors
Find your way into Qualytics
197 people in our graph share verified history with the Qualytics team — schools, employers, funds. One of them is your warm intro.
Nicole Gaudelliunlockedknows Gorkem Sevinc · together at Johns Hopkins University (overlapped)
×7knows the team · via The University of Kansas
×3knows the team · via Qualytics
knows the team · via Johns Hopkins Medicine
Qualytics provides a data quality platform that uses AI and machine learning to help enterprises proactively detect and manage data quality issues at scale. The platform combines automation with human context to enable cross-functional teams to establish shared ownership of data quality and build reliable data foundations for analytics and AI.
Founders & leadership
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Gorkem SevincinCEOHe has spent his career building complex systems and holds strong views on data governance, treating data quality as a business and operating discipline rather than solely a technical tool.
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EricinCo-founderEric is co-founder of Qualytics, a data quality platform that uses AI and machine learning to help enterprises detect and manage data quality issues at scale. He has held roles including founder, CTO, and product and engineering executive, building AI/ML systems for anomaly detection, entity resolution, predictive modeling, and knowledge graphs, and scaling engineering and data teams serving regulated industries such as financial services, healthcare, and life sciences.
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NicoleinChief Marketing Officer
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TonniinChief Sales Officer
Investors · 5
Funding
SEC filings, press & company announcements$10M disclosed across 1 of 2 rounds · 2022–2025
- $10MSeries AJun 2025 · 2 sources
BMW i Ventures (lead)
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Competitors · 9
by search overlap
Netezza35 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
Atlan28 shared keywordsAtlan builds a "context layer" and metadata management platform, including a data catalog, data governance tools, and a Context Lakehouse, that supplies enterprise data context to AI agents and data teams. It serves large enterprises looking to make AI systems operate with knowledge of their data environment.
Alation24 shared keywordsAlation builds a data catalog platform with machine learning and generative AI capabilities that helps enterprises find, understand, and trust their data. The platform serves large organizations and Fortune 1000 companies that depend on data for critical business decisions and AI applications.
Collibra22 shared keywordsCollibra describes its Environmental, Social and Governance (ESG) commitments and how these principles guide its business decisions. The page is a corporate ESG statement rather than a description of the company's products.
Ovaledge20 shared keywordsOvalEdge provides a data governance platform that integrates cataloging, business glossary, lineage, quality, access control, and privacy compliance. The platform serves organizations seeking to establish data governance foundations and foster data culture across their operations.
Secoda20 shared keywordsSecoda is an AI-powered data management platform that consolidates data catalog, lineage, governance, monitoring, and observability functions for enterprises. It enables data teams and business stakeholders to access and act on insights from their organization's data infrastructure.
Lakefs19 shared keywordslakeFS provides a data version control and control-plane layer that sits between object storage and the tools, users, and AI agents that work on petabyte-scale multimodal data, offering Git-like branches, commits, and rollbacks without copying data. It targets enterprise ML platform, data engineering, and agentic AI teams that need reproducible, governed, and auditable access to images, video, audio, logs, JSON, and table formats.
Datafold18 shared keywordsDatafold builds AI-powered agents and tools that automate complex data engineering tasks including migrations, optimization, CI/CD, and data quality validation. The platform serves data and analytics engineers by integrating data diffing and column-level lineage capabilities directly into existing workflows.
Databricks17 shared keywordsDatabricks provides a unified platform for data engineering, analytics, and artificial intelligence, enabling organizations to build and deploy data and AI applications on cloud infrastructure.
Companies competing with Qualytics for the same Google search keywords, organic and paid, via search-intersection analysis.
In the news
Frequently asked questions
- What does Qualytics do?
- Qualytics provides a data quality platform that uses AI and machine learning to help enterprises proactively detect and manage data quality issues at scale. The platform combines automation with human context to enable cross-functional teams to establish shared ownership of data quality and build reliable data foundations for analytics and AI.
- Who founded Qualytics?
- Qualytics was founded by Gorkem Sevinc, Eric.
- Who are Qualytics's investors?
- Qualytics's investors include BMW i Ventures, Conductive Ventures, LegalTech, Inner Loop Capital, Tech Square Ventures.
- How much funding has Qualytics raised?
- Qualytics has disclosed $10M raised across 1 of its 2 known rounds.
- Where is Qualytics headquartered?
- Qualytics is headquartered in Maryland, US.