Observo AI provides an AI-powered data pipeline platform designed for security and DevOps teams to manage and optimize telemetry data. The platform addresses challenges related to growing security data volumes by using artificial intelligence to reduce data costs while maintaining security visibility and accelerating incident resolution. The company's solution processes security and observability data through several core capabilities. It performs intelligent data optimization and reduction, achieving 70-80% data volume reduction while preserving security value through smart filtering, summarization, and dynamic sampling. The platform enriches raw security events with threat intelligence, asset context, and behavioral analysis to transform basic logs into actionable intelligence. It provides smart routing capabilities that direct different data types to appropriate security tools with format-specific transformations. The platform includes real-time anomaly detection that identifies suspicious patterns as data flows through the system, using statistical methods, behavioral models, and machine learning. It handles compliance and privacy protection through automated PII detection, masking, tokenization, and audit trails. The solution also creates cost-effective data lakes using optimized storage formats like Apache Parquet, enabling long-term retention at significantly reduced costs compared to traditional SIEM storage. Observo AI was founded by technologists with experience at companies including Google, Rubrik, Uber, Oracle, and Arista. The platform targets Security Operations Centers (SOCs) and DevOps teams dealing with escalating telemetry data volumes and associated costs.