About Grepr
Grepr is an AI-native observability platform that uses real-time machine learning to automatically reduce telemetry and log data volume by up to 90%, cutting observability costs for engineering teams without requiring migrations from existing tools. It collects, transforms, and filters log data before forwarding only essential signals to platforms like Datadog, Splunk, and New Relic, while retaining all raw data in low-cost cloud storage. The platform targets DevOps and engineering teams at enterprises managing complex, high-volume modern and AI-powered infrastructures.
Company details
Funding
Total raised
$9M
Last stage
Seed
Investors
Founders
Jad Naous
Founder and CEO of Grepr. Previously Chief Product Officer at Imply (Apache Druid), investor at Andreessen Horowitz focused on infrastructure and data, and architect at AppDynamics. Holds a PhD in Electrical Engineering from Stanford University.
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