Opster, an Israeli startup founded in 2019, has raised $5M in Series A funding from JAL Ventures Fund.
The company provides a platform for automating and managing enterprise search engines and databases with the goal of improving performance, ensuring stability, and reducing costs.
Opster was founded by Yonatan Stern, the company’s chairman and former founder and CEO of ZoomInfo; Ziv Segal, the company’s CEO and former chief architect at Logz.io, where he was part of the founding team; Ori Shafir, COO; and Shahar Shaked, VP R&D.
Opster’s customers include leading companies from around the world, such as, Bloomberg, Check Point, Palo Alto, LivePerson, Cybereason, and Coupa. The company employs 30 people, most of them at its development center in Tel Aviv.
The company has already built a base of over 10,000 users entirely through inbound marketing and expects to reach profitability within the coming months.
Opster’s technology focuses on the growing field of enterprise search engines and databases. Many companies rely on internal search engines as core technology as they are critical systems across organizations. E-commerce sites use them for product search, for example, while cybersecurity companies use them to detect threats.
Opster supports the two most widely used technologies in the field: Elasticsearch and OpenSearch. The platform lets companies automate many tasks that are currently handled manually, managing data structures, improving performance, preventing and troubleshooting issues, and more.
The idea for the company came from challenges Segal experienced firsthand over years of managing databases.
“The traditional services in the market (monitoring tools and managed services) don’t offer a complete solution,” Segal said. “The assumption has always been that external services can’t help companies with every aspect of operations, so you need manual processes and support to fill the gaps. Opster’s platform is changing that, shifting these operations to automated processes and delivering significant savings in both operating costs and cloud infrastructure expenses.”
