Unravel Data provides a platform that captures and correlates granular details across modern data stacks to surface recommendations and actionable intelligence using AI and machine learning. The product gives developer and data teams a single pane of glass for troubleshooting, performance optimization and cost-guardrail enforcement across configurations, resources, containers, code, datasets, lineage and dependencies. Its AI engines establish dynamic baselines, detect anomalies with contextual awareness and deliver automated recommendations and alerts for issues such as job slowdowns or cost overruns. Founders Kunal Agarwal and Shivnath Babu built the company from their experience at Duke University and in large-scale compute systems; Agarwal previously worked at Sun Microsystems and Babu was a tenured professor. Unravel counts customers including Adobe, Deutsche Bank and Kroger’s 84.51° and has more than 100 employees across the U.S., Europe and India. The company declined to disclose revenue or the size of its customer base and plans to use new capital to scale operations, expand API integrations and grow its engineering team. Unravel Data offers a data operations platform that gives unified, full‑stack visibility and AI/ML-driven recommendations and automation to tune, troubleshoot, and improve modern big‑data applications. The product targets complex data pipelines built on technologies such as Spark, Kafka, Hadoop, Hive, HBase and NoSQL, and is positioned to reduce manual troubleshooting and operational silos. The company has emphasized cloud integrations and go‑to‑market with Microsoft Azure and AWS, is available in both marketplaces, and is co‑sell ready with Azure. Unravel cites customer deployments including Kaiser Permanente, Adobe, Deutsche Bank, Wayfair, and Neustar, and has received industry recognition such as Gartner’s “Cool Vendors” and CRN’s Top 100 Coolest Cloud Computing Companies. Financial momentum includes reported Annual Recurring Revenue (ARR) growth of 500% year‑over‑year and the completion of a new funding round. Unravel Data provides an application-performance-management style service focused on the full big data stack, covering Hadoop, Spark, Kafka and the Impala query engine. Its system gathers telemetry from servers, containers and applications, surfaces performance issues, recommends optimizations and can automatically apply fixes. The company has secured customers including Kaiser Permanente, Autodesk and YP.com. Founded in 2013, Unravel spent 2017 finding product/market fit and is positioned to scale commercial operations. It plans to expand its sales and marketing teams and continue investing in its core product. Unravel also intends to open a London office to better serve financial-industry customers. Unravel Data is a Menlo Park, California-based company offering a performance intelligence platform for optimizing Big Data operations (DataOps). The company emerged from stealth to launch its platform. From a single platform it allows users to accelerate applications in a Big Data stack or cluster, optimize multi-tenant resource utilization and provide operations intelligence. Unravel was co-founded by Kunal Agarwal and Dr. Shivnath Babu. It raised more than $7M in Series A funding and intends to use the proceeds to continue to launch and expand operations. Advisors include Tasso Argyros, Ken Rudin, Bhaskar Ghosh, Jeff Magnusson and Daniel McCaffrey.

Total raised

$107M

Funding rounds

4

Latest round

Series D

Latest activity

Sep 2022