Grepr Wins the 2026 Intellyx Digital Innovator Award for Observability Cost Reduction

Jad Naous
June 9, 2026
Intellyx Digital Innovator 2026 award badge

Intellyx, an analyst firm focused on enterprise digital transformation and the disruptive vendors driving it, named Grepr a 2026 Digital Innovator Award winner. We briefed Intellyx at KubeCon EU on what we've been building, and the award recognizes Grepr's approach to a problem most observability teams live with: collecting all the telemetry they need without cost forcing them to drop data. Teams stop trading away reliability and engineering hours just to keep the bill down.

Here’s our approach: Grepr’s Autonomous Telemetry Pipeline automatically eliminates up to 90% of customers’ telemetry data noise without rules to write, impacts to dashboards or alerts, or tool migrations. The signal processing engine detects millions of log patterns, trace signatures, and metric trends dynamically, instead of relying on static rules, forwarding compressed, low-noise data to existing observability tools, and preserving raw data in low-cost storage for backfill and fine-granularity access when needed. 

Teams running Grepr regularly see at minimum 75% in observability cost reduction without giving up the data they depend on. Setup takes less than 30 minutes with only a single configuration change.

This award sits alongside Gartner 2025 Cool Vendor recognition and Observability-360’s Best Pipeline Product for 2024.

We’re honored to have received these awards, but we get the most satisfaction out of helping our customers achieve their goals!

Get started with Grepr for free and put it to the test.

Frequently asked questions

What does the Intellyx Digital Innovator Award recognize? Intellyx tracks the enterprise software vendors it considers genuinely disruptive, and it grants the Digital Innovator Award to those it briefs and covers. For Grepr the briefing centered on a real cost problem teams are living with right now, the spiral of observability spend, and the engineering that flattens it. The recognition is one signal among several, which is why it reads best next to the rest of the year's coverage rather than on its own.

Does cutting observability cost mean losing data? That is the tradeoff everyone assumes, and it is the one Grepr was built to avoid. The pattern engine keeps full-fidelity telemetry available while reducing what you pay to store and index it, so the logs you need during an incident are still there. The savings come from how the data is handled, not from throwing it away.

How fast can a team see results? A one-line config change goes in front of your existing Datadog, Splunk, or OTel pipeline, with nothing to migrate. Most teams are looking at real numbers inside thirty minutes, which is usually faster than the meeting it took to approve the trial.

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