Overview

Grepr provides an observability platform that helps engineering teams reduce costs by using AI to analyze data usage and route only what matters to observability tools. It combines an observability data lake with an intelligent pipeline, enabling relational queries across all observability data in one place. The system automatically filters, aggregates, and routes data, supports dynamic backfilling during incidents, and reduces log volume through summarization while sampling traces. It enables querying retained data, generating reports, powering AI, and triggering backfill via webhooks or the interface, without migrations, focusing on cost reduction and data access for engineers.

Simplify's Take

What believers are saying

• DORA compliance drives financial firms to adopt Grepr's cost-reduced audit trails.
• Kubernetes growth boosts demand for Grepr's noise-filtering log management.
• Vendor-agnostic architecture attracts enterprises avoiding observability lock-in.

What critics are saying

• Datadog LogReaper launched Q1 2026 integrates AI summarization, eroding Grepr proxy need.
• New Relic AI Cost Optimizer from February 2026 captures Grepr's no-migration customers.
• Metronome Observability debuted July 2025, stealing Grepr adopters via VC promotion.

What makes Grepr unique

• Grepr uses AI-driven semantic clustering to aggregate similar logs before forwarding.
• Dynamic backfilling from data lake ensures full troubleshooting data during incidents.
• Vendor-agnostic pipelines support Datadog, Splunk, New Relic without migrations.

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