Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The AI boom has set off an explosion of data. AI models need massive datasets to train on, and the workloads they power — whether internal tools or customer-facing apps — are generating a flood of telemetry data: logs, metrics, traces and more.Even with observability tools that have been around for some time, organizations are often struggling to keep up, making it harder to detect and respond to incidents in time. That’s where a new player, Observo AI, comes in. The California-based startup, which has just been backed by Felicis and Lightspeed Venture Partners, has developed a platform that creates AI-native data pipelines to automatically manage surging telemetry flows. This ultimately helps companies like Informatica and Bill.com cut incident response times by over 40% and slash observability costs by more than half.The problem: rule-based telemetry controlModern enterprise systems generate petabyte-scale operational data on an ongoing basis. While this noisy, unstructured information has some value, not every data point is a critical signal for identifying incidents

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