Ex-Microsoft Engineers Secure $70 Million to Revolutionise Enterprise Data for AI

2026-11-11 digital

Amsterdam, Wednesday 11 November 2026
Emerging from stealth with a $500 million valuation, Edelbyte has raised $70 million to challenge database giants, offering enterprise platforms ten times more queries within existing budgets.

Architecting High-Throughput Engines for Autonomous AI

The rapid migration towards agentic enterprise workflows has exposed fundamental structural bottlenecks within conventional data architectures [1][2]. Founded in 2025 by former Microsoft veterans Avner Aharoni, Evgeney Ryzhyk, Alexander Sloutsky, and Yoni Leibowitz, Edelbyte was established to overhaul how enterprise workloads interface with analytical search [1][2]. The founding team previously spent over a decade constructing Azure Kusto, commercially known as Azure Data Explorer [2], bringing approximately 20 years of individual domain expertise to the table [1]. Operating out of Tel Aviv and San Francisco, the startup closed a combined $70 million funding round composed of a $25 million seed tranche led by Sequoia Capital and a $45 million Series A round steered by Quiet Capital, alongside participation from Greenoaks and Swish Ventures, valuing the venture at $500 million as of 10 November 2026 [2][3]. The funding is structured 70 million dollars across the two tranches [3].

The Enterprise Economics of the Expanding Big Data Market

The commercial imperative behind Edelbyte’s platform reflects escalating demand across a massive addressable universe. Markets and Markets projects the broader big data industry will expand from $324.59 billion in 2026 to $516.29 billion by 2031, representing an absolute dollar expansion of 191.7 billion dollars over the five-year window [2]. Chief Executive Avner Aharoni has underscored that enterprise systems designed in earlier cloud eras were not architected for the sheer intensity of autonomous agent operations, which demand significantly elevated query frequencies across unified data pools [1][2]. To resolve these latency and cost trade-offs, Edelbyte delivers query federation capabilities and native unified search, reporting that enterprise clients migrating to its architecture can execute up to ten times more queries within identical financial budgets while curtailing platform expenditure and central processing unit (CPU) overhead [1][2].

Confronting Legacy Database Giants at Petabyte Scale

Despite having formed barely twelve months prior to November 2026 [1], Edelbyte has already secured four significant design partners and implemented petabyte-scale deployments across multiple Fortune 500 enterprises [1][2]. The platform takes direct aim at established cloud database champions, competing against Snowflake, ClickHouse, and Databricks in a target data infrastructure market valued at $300 billion [1][3]. Bogomil Balkansky, partner at Sequoia Capital, noted that enterprise software builders require infrastructure that actively improves operational and financial viability at enterprise scale [1]. With capital secured, the startup is expanding its global commercial operations and scaling engineering headcount to deepen penetration among international enterprise accounts [1].

Venture Capital Dynamics Across the Modern Software Stack

The substantial capital deployment into Edelbyte forms part of a broader venture resurgence underpinning cross-border software scalability and foundational AI infrastructure [4][5]. On 10 November 2026, venture capital firm Vine Ventures announced the closing of its $236 million third fund, bringing assets under management to more than $500 million across hubs in San Francisco, New York, Boston, and Tel Aviv, with plans to direct approximately half its capital into Israeli foundational technology layers [4]. Meanwhile, enterprise peers continue to build complementary autonomy stacks; on 10 November 2026, Databricks expanded its Genie coworker platform with hybrid connectors across enterprise tooling [5], while fellow San Francisco enterprise AI startup Rox secured $100 million at a $1.3 billion valuation on 11 November 2026 to scale domain-specific models [5][7]. In an evolving operational landscape where developer tooling is being adapted for continuous agentic evaluation [6], infrastructure providers optimising cost per query are positioned to capture pivotal market share [1][2].

Sources & Ecosystem Partners

Venture capital Data infrastructure