Ai Takes Center Stage As Noisy Telemetry Declined By 70 With Revolutionary Data Pipelines

Ai Takes Center Stage As Noisy Telemetry Declined By 70 With Revolutionary Data Pipelines

Observo AI Revolutionizes Enterprise Security with AI-Native Data Pipelines, Cutting Noisy Telemetry by 70%

The explosion of data in the AI era has created a vast landscape of petabyte-scale operational data that organizations must navigate to identify and respond to incidents effectively. Modern enterprise systems generate an overwhelming amount of unstructured information, leaving teams with a daunting task: filtering through the noise to find critical signals.

This is where Observo AI comes in – a California-based startup backed by Felicis and Lightspeed Venture Partners. Its innovative platform creates AI-native data pipelines that automatically manage surging telemetry flows, helping companies like Informatica and Bill.com optimize incident response times and slash observability costs by more than half.

Gurjeet Arora, former engineering lead at Rubrik, developed Observo AI – a platform that optimizes operational data pipelines using machine learning (ML) models. Observo AI sits between telemetry sources and destinations, analyzing the stream of data coming in and cutting down noise to decide where it should go. It finds high-importance signals on its own and routes them to the right place, automating decisions across complex data pipelines.

The platform dynamically learns, adapts, and evolves, proactively adjusting filtering rules and optimizing pipeline functions in real-time. This approach has already yielded impressive results for Observo AI’s enterprise customers. Informatica and Bill.com, among others, have seen significant reductions in incident response times and observability costs.

A North American hospital reduced its log volume by over 78% while onboarding all relevant data, leading to a 35% reduction in mean time to resolve critical incidents. As Observo AI continues to grow, it plans to accelerate its go-to-market efforts and take on other players in the category. The company aims to enhance its product with more AI capabilities, anomaly detection, data policy engine, analytics, and source and destination connectors.

With a market size expected to reach $4.1 billion by 2028, Observo AI is poised to play a significant role in the global observability tools and platforms market. By leveraging ML and large language models (LLMs), Observo AI optimizes data pipelines, extracts critical signals for incident detection and response, and continuously improves its filtering rules.

This ensures that it keeps up with emerging threats and anomalies, without requiring new rules to be set up. With its cutting-edge approach and impressive customer results, Observo AI is revolutionizing the way enterprises manage their telemetry data, strengthening their security and driving business growth.

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