Lightup – the developers of a modern no-code data quality monitoring platform – recently announced that it closed $9 million in Series A funding to empower organizations further to democratize data quality checks for 100% coverage across enterprise operations. This funding round was led by Andreessen Horowitz and Newland Ventures, with Spectrum 28 Capital, Shasta Ventures, Vela Partners, and Incubate Fund participation. And Lightup will use the funding round to enhance its core technology, grow its team to tap into global opportunities, and expand its partner ecosystem to serve a broader customer base.
Maintaining high data quality is considered a chronic challenge for data-driven businesses, reducing operational efficiency and preventing them from making timely informed decisions based on accurate, trusted data. And traditional approaches to data quality checks are time-consuming and resource-intensive, requiring highly specialized technical expertise and long development cycles. The company’s mission is to simplify and democratize data quality checks for business users, data engineers, and data management teams, offering the first and only out-of-the-box no-code data quality monitoring platform with time-bound pushdown queries and AI-powered anomaly detection.
The company is committed to helping organizations solve the most complex data quality challenges of scaling checks across petabytes of operational data and detecting silent data outages, drift, and broken data in otherwise good data pipelines. And to support end-to-end data operations, Lightup includes incident alerts, failed records for root cause analysis, dashboards for data quality insights, workflow management integrations with third-party IT ticketing systems, alerting tools, and data catalogs. A portable application with deep data architecture, Lightup is deployable in any cloud/multi-cloud, hybrid, or on-premises environment.
Lightup has gained notable traction in the market, reflected by its accelerated annual recurring revenue of nearly 5x year over year. And Lightup has experienced impressive adoption rates by Fortune 500 companies, including McDonald’s, Gap Inc., and Skechers.
KEY QUOTES:
“Our Series A funding is an enormous validation that we are achieving our mission of ensuring the accuracy, reliability, and quality of our customers’ data at scale. We are gratified by the endorsement from Andreessen Horowitz, Newland Ventures, and our other world-class investors; the funding will further accelerate and extend our development and delivery of even greater capabilities in the Lightup platform to streamline data quality processes and increase time-to-insight at 10x the speed of traditional tools, democratizing data quality checks across every vertical market worldwide.”
— Manu Bansal, CEO and co-founder of Lightup
“We chose to reinvest in Lightup because of their exceptional ability to address the data quality problem, unlike any other company in the market. We believe they have demonstrated an unparalleled level of technical expertise, enabling them to address challenges of scale and complexity like no one else in their category. Lightup knows how to forge partnerships with major enterprises, tirelessly working alongside them to solve problems incrementally until value is ultimately realized. Such unwavering dedication has become increasingly rare, and it truly sets the Lightup team apart.”
— Martin Casado, General Partner at Andreessen Horowitz
“At Skechers, one of our top priorities is to deliver reliable data and insights to our business users and decision-makers promptly. Thanks to Lightup’s AI-based data observability and monitoring, we successfully streamlined our data quality and availability checks at scale, effectively meeting the demands of our growing business. This has not only strengthened data trust but also proactively mitigated data delays and anomalies, while simultaneously freeing up valuable resources and boosting the team’s productivity.”
— Manish Agarwal, Vice President, Data & Analytics, Skechers
“Lightup has been a boon for us, enabling high-quality data monitoring while being performant in a cloud-native ecosystem.”
— Matt Sandler, Senior Director of Data and Analytics at McDonald’s
