Overview
Company Does Not Provide H-1B Sponsorship
Grepr offers an observability platform that helps engineering teams cut costs by using AI to analyze data usage and route only the data that matters to observability tools. It combines an observability data lake with an intelligent pipeline, allowing relational queries across all observability data in one place. The system automatically filters, aggregates, and forwards data, with dynamic backfill during incidents to support troubleshooting; it also reduces log volume through summarization and selectively samples traces while preserving unaggregated logs for sampled traces. Grepr enables querying retained data, generating reports, powering AI, and triggering dynamic backfill via webhooks or manual actions, without migrations, aiming to curb rising observability costs while maintaining access and control for engineers.
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Simplify's take
What believers are saying
- Grepr launched Grepr AI on November 3, 2026, targeting proactive operational agents.
- Customers already used Grepr AI to find errors, PII leaks, and production issues.
- Grepr ran tens of thousands of internal investigations and found 20 high-priority issues.
What critics are saying
- Datadog, New Relic, and Splunk can copy novelty-based filtering and undercut Grepr.
- Grepr AI launches only for logs today; traces and metrics remain unfinished.
- If its 90% savings claim weakens, observability teams revert to incumbent platforms.
What makes Grepr unique
- Grepr AI fingerprints every log pattern before indexing, unlike alert-first observability tools.
- Its signal processor compresses noise before Datadog, New Relic, Splunk, and CloudWatch.
- Grepr keeps raw telemetry in open-format low-cost storage, avoiding migrations.
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