Startup profile · funding coverage
Grepr
AI observability platform that cuts telemetry noise and observability spend without replacing existing tools.
Stage
seed
Status
private
Coverage
full
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.
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%
- Integrates with Datadog, Splunk, New Relic, Grafana, and OpenTelemetry
Investors in our directory
Funds linked from Grepr's profile — open a fund page for stage focus and related deal articles.
Industries
Enterprise SaaS AI & Machine Learning Developer Tools
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Related funding articles
Venture Capital Tracker pieces that cover Grepr's financing or category context.
FAQs about Grepr
Funding context and why this company shows up in venture coverage.
Grepr is an autonomous telemetry pipeline that reduces observability costs by filtering noisy data before it reaches tools like Datadog or Splunk. It uses real-time ML to compress telemetry by up to 90% while preserving raw data in low-cost storage.
Grepr's $9M seed (2025) was led by Andreessen Horowitz (/fund/andreessen-horowitz) with Boldstart Ventures (/fund/boldstart-ventures) participating.
Grepr is at seed stage based on its 2025 $9M round.
Observability bills scale with data volume. Grepr acts as a proxy layer — compressing noise in-stream so teams keep existing dashboards and tools while cutting costs dramatically. Founder Jad Naous previously led architecture at AppDynamics.
No. Grepr remains a private company.
Last updated: 2026-07-24