Edelbyte Raises Seed Round to Build Data Infrastructure for AI Agents
According to Sequoia Capital Articles: Kusto engine veterans have founded Edelbyte to build a data platform tailored for AI workloads. Traditional databases struggle when AI agents fire off massive query volumes. Edelbyte aims to remove these limitations by combining search and analytics without breaking the budget.
According to Sequoia Capital Articles:
Background
The founders of Edelbyte, including Avner Aharoni, Evgeney Ryzhyk, Alexander Sloutsky, and Yoni Leibowitz, previously created Kusto inside Microsoft. Kusto eventually became Azure Data Explorer, powering services like Microsoft Sentinel and Defender. Following a familiar B2B playbook where internal tools spin out into independent companies, this team has now launched Edelbyte, securing seed funding led by Sequoia.
The AI Data Bottleneck
Traditional data platforms were designed for human users who naturally have limits on how many queries they can type daily. However, AI agents behave like tireless analysts testing multiple hypotheses simultaneously, generating exponentially more queries. At this scale, traditional trade-offs like data rationing and high costs severely limit AI's true potential.
Edelbyte's Solution
Edelbyte is rethinking data infrastructure from first principles. The platform keeps detailed history queryable at interactive speeds, scales elastically, and integrates search and analytics into a single system. Furthermore, it operates flexibly across cloud or on-premises environments. Early customers report significant efficiency gains, including tenfold query increases without budget hikes.
View selection rationale
Importance 75/100
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