Grepr funding, valuation and investors

Overview

Grepr (directory slug: greply) is an autonomous telemetry pipeline that sits between data sources and existing observability tools. It uses real-time ML to compress noisy telemetry by up to 90%, forwarding only high-signal data to Datadog, Splunk, and similar platforms.

Why Grepr is interesting

Founded by ex-a16z partner Jad Naous (Imply, AppDynamics); pilots report up to 90% observability cost reductions by filtering noise before data hits Datadog/Splunk stacks.

Product & use cases

Grepr (slug: greply) is an autonomous telemetry pipeline that filters noisy observability data before it reaches Datadog, Splunk, and similar tools — cutting costs up to 90%.

• Observability cost reduction without replacing existing tools
• Real-time telemetry noise filtering
• Raw log archival in low-cost storage with high-signal forwarding

Key facts

• Seed (2025): $9M led by a16z (/fund/andreessen-horowitz) with Boldstart Ventures (/fund/boldstart-ventures) participation (Grepr blog / a16z announcement)
• Founded by Jad Naous (ex-a16z partner, former CPO of Imply); reduces observability costs by up to 90%

Funding history (newest first)

Investors in our directory

Funds linked from Grepr's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Proxy layer compressing noise in-stream — keep existing dashboards while cutting data volume bills.

Observability bills scale with data volume. Grepr sits upstream — risk is vendors building native compression or customers accepting higher ingest costs.

• Datadog adjacent

  Observability platform Grepr integrates with — not replacing.

• Cribl direct

  Observability pipeline and data routing.

• Dash0 adjacent

  Observability cost optimization.

Notable stories

• Founded by Jad Naous, ex-a16z partner and former CPO of Imply (Grepr blog, 2025).
• Greply is alternate directory slug — same company as Grepr.

Industries

Market / IPO context