Grepr was recognized by Gartner as a Cool Vendor in AI for IT Operations, and our team is genuinely excited to share the news! The shift toward AI driven systems is changing the pressure on infrastructure and operations teams, and the demands on observability are rising with it. Workloads grow, pipelines expand, and the amount of data produced by training and inference increases at a pace that is difficult to manage.

Grepr helps teams handle this change by:

1. Denoising data going downstream, providing clean signal for AI models to operate on.
2. Automatically tiering data between hot (existing vendors) and cold (data lake) storage, enabling 100% data collection at 10% of the cost.
3. Parsing existing dashboards and alerts and adding them as exceptions so they don’t need to be modified when Grepr is rolled out.
4. Enabling realtime complex alerting and processing logic using streaming stateful SQL for cases where developers need to be able to define multistage logic for detecting errors.

At the core of Grepr’s capabilities is the real-time large scale pattern detection that teams are using to power LLM-based workflows. With these capabilities, engineers can build closed-loop automatic monitoring systems that rely on AI agents to add alerting on spikes in new error messages or figure out what teams should be notified when a service experiences errors.

Recognition from Gartner reinforces the direction we are moving and the problems we stay focused on. AI raises expectations for infrastructure and operations, and Grepr gives teams a clearer path to meet those expectations with confidence.

For those exploring how to prepare their systems for AI-driven demand, this research offers useful context. We are proud to be part of it.