Full-Time
AI-powered data quality platform for enterprises
No salary listed
Remote in USA
Remote
US applicants only; visa sponsorship not available.
Qualytics provides an AI-powered data quality platform for enterprises to automate and improve data quality controls. It uses machine learning to monitor data in real time, helping organizations keep their data reliable for decision making. The system is designed for B2B use by companies with strict data management and compliance needs, such as those in the oil and energy sector. Founded in 2020 and based in Orlando, Qualytics targets enterprise customers with scalable data quality and governance solutions that continuously surveil data quality. Its goal is to help businesses maintain trustworthy data through automated, real-time monitoring and governance tools.
Company Size
11-50
Company Stage
Series A
Total Funding
$15.2M
Headquarters
Orlando, Florida
Founded
2020
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Qualytics, an enterprise data quality platform, announced a $10M Series A funding round led by BMW i Ventures. The funding will support Qualytics' rapid growth, driven by a 5x revenue increase and a major contract with a top U.S. financial institution. The platform offers automated data quality management, addressing the need for reliable data in AI and analytics. The investment will help expand the team and enhance platform capabilities to meet the growing demand for augmented data quality.
Gorkem Sevinc, a self-described “multi-time entrepreneur startup junkie,” kept running into the same problems trying to manage and understand crucial company data.“Throughout my career, what I’ve experienced is that when you have bad data going into your ecosystem, you make bad decisions,” he told Hypepotamus. “When you have these data issues, your data team and your technical team are not the best people to catch those [problems]. It’s your subject matter experts – people like your CFO or your CRO – who know the data the best.”It is easier for those subject matter experts to sniff out problems with the data than a technical team playing “whack a mole” trying to solve the problem, he added.Keeping up with data quality changes has typically been a reactive process, Sevinc added. It’s also been hard for large enterprises to prove out ROI previously.That’s exactly why Qualytics was created, said Sevinc.The startup platform looks to help other companies “manage data quality at scale.” That means using AI to create better data quality rules and ultimately find the data anomalies that are hard to find when a company has millions or even billions of data points to work through.Data anomalies might range from pricing discrepancies to missing timestamp data related to recent sales to more complicated problems around data accuracy. Qualytics builds upon a company’s historical data to ultimately create better, more flexible rules moving forward.“When that data scientist is using 80 to 90% of their time prepping data and throwing bad data out, [they] are focusing on information and not insight. I want my team focused on insights,” he added.Given Sevinc’s previous work scaling FinTech and HealthTech startups, Qualytics is currently pursuing enterprise clients in the financial services and healthcare spaces
Qualytics, data quality platform for enterprises, announced it has raised $2.5 million led by venture capital firm Tech Square Ventures
Qualytics, the leading active data quality platform for enterprises, today announced it has raised $2.5 million led by venture capital firm Tech Square Ventures, with participation from Engage, Knoll Ventures, SaaS Ventures and GRI Ventures.