Former Microsoft Engineers Launch Edelbyte With $70 Million in Funding
Data infrastructure startup Edelbyte has emerged from stealth with $70 million in funding across two rounds, aiming to revolutionize enterprise data search and analytics for AI workloads.
Edelbyte, a data infrastructure startup founded by four former Microsoft engineers, has emerged from stealth with $70 million in funding secured across two rounds. Established in November 2025, the company already serves Fortune 500 enterprises and manages petabyte-scale data systems, aiming to compete with industry giants in data infrastructure.
Scaling for AI Workloads
"The systems organizations use today for search and data analysis were built long before the AI era," said Avner Aharoni, co-founder and CEO of Edelbyte. "However, as AI becomes central to enterprise operations, query volume and complexity are growing at a pace existing architectures were not designed to handle. We believe this shift creates an opportunity to build a new market leader in search and data analytics, with technology architected from the ground up for AI workloads."
The funding includes a $25 million seed round led by Sequoia Capital, with participation from Greenoaks and Omri Casspi’s Swish Ventures. A subsequent $45 million Series A round was led by Quiet Capital, joined by existing backers and new investors including Gil Ofer’s QP Ventures, Startpoint Capital, and Cerca Partners. The capital will be deployed to expand technological capabilities, scale research, development, and sales teams, and accelerate global market expansion.
Veteran Leadership and Proven Technology
Aharoni founded the company alongside Chief Technology Officer Yevgeny Rayzik, VP of Engineering Alexander Slutsky, and VP of Platform Engineering Yoni Leibovitz. Each of the four co-founders brings approximately two decades of experience at Microsoft, having collaborated for over a decade before launching Edelbyte. Rayzik and Slutsky were part of the original founding team of Kusto, an internal Microsoft data project that later evolved into the foundational technology for Azure Data Explorer, as well as Microsoft Sentinel and Microsoft Defender security products. Aharoni and Leibovitz subsequently joined the platform development team, which currently processes hundreds of petabytes daily.
Enterprise Traction and Technical Edge
Headquartered with approximately 40 employees across Israel, Europe, and the United States, Edelbyte's clientele spans Fortune 500 companies and global enterprises in cybersecurity, automotive manufacturing, and financial services. According to the startup, clients migrating from legacy systems have significantly reduced infrastructure costs while running up to ten times more queries within the same budget.
The platform is engineered to address performance, data volume, and cost challenges introduced by autonomous AI agents. Enterprises frequently deploy dozens or hundreds of agents concurrently, with each agent generating continuous, high-frequency queries. Unlike human users, whose activity is naturally bounded, autonomous agents place unprecedented stress on underlying architectures. Edelbyte's system enables traditional analytics, text search, spatial queries, and AI workloads to run on a unified infrastructure, eliminating the need to maintain fragmented systems or constantly copy data between them.
Furthermore, the system delivers millisecond-level query responses and supports thousands of concurrent queries on massive historical datasets. Operating as a managed service across public clouds, private clouds, or on-premises infrastructure, Edelbyte provides organizations with architectural flexibility to meet strict performance, regulatory, and business requirements.
