Overview
Company Does Not Provide H1B Sponsorship
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.
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Simplify's Take
What believers are saying
- September 2026 added analytical queries directly in Grepr, reducing backfill dependence.
- July 2026 release made trace collection and exploration available to every organization.
- Customer proof points from 2026 show 85% CloudWatch savings and 90%-95% log cuts.
What critics are saying
- Datadog shipped MCP Server in March 2026, compressing Grepr's AI differentiation window.
- Cribl already owns telemetry-pipeline buyers, and Grepr still lacks a public MCP server.
- If filtering misses incident-critical logs, one high-profile outage destroys trust and kills adoption.
What makes Grepr unique
- Grepr sits upstream, cutting telemetry before Datadog, Splunk, and New Relic invoices.
- Its July 2026 free tier removes adoption friction with 4 TB logs and 8 TB traces.
- September 2026 UI queries and closed-beta AI SRE agent deepen its pipeline moat.
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