We have been obsessing over log files and metrics for 20+ years. Along the way, we developed many innovative analysis techniques. But like everyone else, we were held back by the time and effort spent writing and maintaining regexes and parsers. This is because log data is mostly unstructured.
We founded Zebrium with the idea that machine learning could be used to perfectly structure unstructured machine data. With that as the foundation, we knew that the possibilities would be endless.
Uncover known and new issues, automate triage and help developers and testers get to root cause orders of magnitude faster.
Deliver a SaaS platform that's easy to use, elegant in design and highly functional. Provide value at first use without requiring product changes, scripting or special expertise.
Use unsupervised ML to perfectly structure, self-maintain and optimize all data for query. Allow users to answer any question, of any complexity, at high-speed, across vast amounts of data.
Ajay is a passionate advocate for creating products that address real-life market needs and deliver an exceptional customer experience. As CEO, he is committed to building a world class organization, focused on improving the way customers solve a common problem. Prior to Zebrium, Ajay was VP of Product at Nimble Storage where he led product strategy from concept to annual revenue of more than $500M. Ajay started his career as product development engineer and has also held senior product management roles at NetApp and Logitech.
Larry founded Zebrium with the vision that machine learning could be used to structure product telemetry (machine data from hardware, software and SaaS) into the most valuable system of record of the customer experience. He is a recognized visionary in leveraging product telemetry to take a data-driven approach to engineering and support. Prior to Zebrium, he was Chief Data Scientist at Nimble Storage where he architected and implemented a peta-scale platform for automation and analytics (now HPE InfoSight predictive analytics). Larry has been working in this field since building the Informatics and Support Automation group (part of engineering) at NetApp in 1999. He was also CTO and co-founder at Glassbeam.
Rod is known as the as the pioneer of using data science and analytics to automate and transform the traditional technical support process. He joined Nimble Storage as an early employee where he created InfoSight predictive analytics. This allowed him to build a support model that eliminated the need for Level-1 and 2 support engineers by automating the resolution of 86% of support cases. Prior to Nimble, he co-founded Glassbeam as VP Engineering. Rod began his career in this field when he founded the NetApp Support Automation team using AutoSupport product telemetry in 1999.
With over 20 years’ experience across a diverse range of roles, Gavin has the passion and experience to define and build a new market category for Zebrium. Prior to Zebrium, he was VP of Product and Solutions Marketing at Nimble Storage where he was responsible for redefining the company’s category and positioning. He has also held senior product management, business development and technical evangelist roles in Australia and the U.S.
CEO of Sysdig
Founder & VP, Engineering
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