Grepr, founded in 2023 and based in San Francisco, develops an autonomous telemetry pipeline that uses real-time machine learning to reduce observability costs for engineering teams. The company operates in the intersection of machine learning, telemetry, and data optimization, serving IT operations and software development teams dealing with large volumes of monitoring data.
The company's core product sits between existing telemetry agents and observability platforms. It surveys dashboards and alerts to understand which data matters, then dynamically filters what gets forwarded to expensive observability tools. The remainder is stored in low-cost S3 storage using open formats such as Apache Iceberg and Parquet. Grepr reports that this approach can eliminate up to 90% of telemetry noise without requiring static rules or data migrations.
The technology was recognised by Gartner as a Cool Vendor in AI for IT Operations. Grepr's pipeline works with existing infrastructure, aiming to reduce the operational burden associated with managing high-cardinality telemetry data across distributed systems.
