Edge Delta, a Seattle, WA-based provider of an observability platform that analyzes and extracts data insights using distributed stream processing and federated machine learning, raised $63M in Series B funding.
The round was led by Quiet Capital, with participation form BAM Elevate, Earlybird Digital East, Geodesic Capital, Kin Ventures, ServiceNow, Cisco Investments, Menlo Ventures, MaC Venture Capital, and Amity Ventures.
The company intends to use the funds to accelerate corporate growth, including recruitment, marketing and product innovation.
Led by CEO Ozan Unlu, Edge Delta takes a modern approach to observability by giving enterprises the ability to use distributed stream processing and federated machine learning capabilities for intelligent, dynamic, and automated data processing at the edge. Rather than moving all data to the cloud, it can be evaluated at its source, enabling accessibility and visibility into datasets, in an automated, proactive, and scalable solution. As a result, DevOps, SRE and security teams can identify system behaviors automatically and get ahead of growing hotspots and anomalies, providing more time to resolve problems rather than diagnose them.