AI data pipeline for security and DevOps

Observo AI emerged in 2022 as one of the first companies to apply large-scale AI to the foundational layer of the modern security stack: telemetry pipelines.

Rather than focusing on endpoint agents or SIEM interfaces, the company built an AI-powered data pipeline capable of ingesting, enriching, and optimizing large volumes of security and DevOps telemetry. Observo AI claims up to 100 petabytes per day while reducing data footprints by an average of 74%. Its anomaly-detection models learned normal behavioral patterns across disparate log sources, flagging deviations before data hit downstream tools.

Observo’s system added contextual intelligence, such as threat indicators, asset metadata, and Geo-IP information, transforming raw logs into structured, enriched security intelligence ready for routing, querying, and automated response. This approach reduced SIEM ingestion costs to a fraction of traditional methods, helping organizations escape the long-standing tradeoff between visibility and budget. The company’s architectural bet — AI-driven data optimization at petabyte scale — proved prescient in a security market strained by rising log volumes and exploding AI workloads.

Observo AI raised a $15 million seed round in January 2025, led by Lightspeed Venture Partners and Felicis. Just nine months later, in September 2025, SentinelOne acquired

the startup to become the backbone of its next-generation security data platform. The acquisition could position Observo’s pipeline as the core of SentinelOne’s unified security architecture, powering real-time threat detection, natural-language security analytics, and hyperscale data operations across more than 400 integrated tools.