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Grafana Labs

Grafana Labs is an Observability and AI Monitoring company founded in 2014 and based in New York, United States. It has raised $1.1B in total funding, most recently a Series E in 2026.

Open-source observability platform providing dashboards, metrics, logs, and traces, recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms. Leader in Gartner MQ for Observability for second consecutive year (2025); Grafana Cloud integrates AI/ML monitoring; OpenTelemetry adoption at 50%+; approximately $200M+ ARR.

Grafana's composable, open-source architecture and AI integrations make it the observability backbone for teams deploying AI agents who need to monitor both traditional and LLM-based services.

grafana.com Observability and AI Monitoring

United Statesprivate

At a glance

Total raised

$1.1B

last round series e

Headcount

1k-5k

approximate · public range

Headquarters

New York

United States

Founded

2014

12 years active

Status

Private

Observability and AI Monitoring

Subsector

Funding history

Total raised

$1.1B

Rounds tracked

7

Latest stage

Series E

Date	Stage	Amount	Valuation	Lead investors
Mar 12, 2026	Series E	$250M	—	Lightspeed Venture Partners, GIC
Aug 21, 2024	Growth	$270M	$6B	Lightspeed Venture Partners

Products

Grafana
The open-source observability and data visualization platform that enables users to query, visualize, alert on, and understand their metrics, logs, and traces no matter where they are stored. It connects to hundreds of data sources including Prometheus, InfluxDB, and PostgreSQL, making it the industry-standard dashboarding tool for SREs, DevOps engineers, and analysts who need unified real-time visibility into their infrastructure and applications.
Grafana Cloud
A fully managed, composable observability platform that brings together Prometheus metrics, logs, traces, and visualizations in a single stack. It includes built-in AI-powered assistance, Adaptive Telemetry to reduce data costs by up to 80%, and turnkey solutions for Kubernetes monitoring, incident response, and load testing. Designed for teams that want a scalable, no-ops observability solution without managing infrastructure.
Grafana Loki
A horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. Loki indexes metadata rather than the full log content, making it dramatically cheaper and more efficient than traditional log management solutions. It pairs natively with Grafana and is designed for developers and operators who need cost-effective, cloud-native log storage and querying at scale.
Grafana Tempo
A high-volume, distributed tracing backend that stores traces in object storage and integrates seamlessly with Grafana. Tempo supports OpenTelemetry-native ingestion and works with any tracing protocol, requiring only cheap object storage (S3, GCS, Azure Blob) rather than proprietary databases. It enables SREs and platform engineers to debug performance issues across microservices architectures without the high cost of traditional tracing solutions.
Grafana Mimir
A horizontally scalable, highly available, multi-tenant time series database designed as a long-term storage backend for Prometheus. Mimir provides massive scale for metrics with features like continuous query optimization, recording rules, and native histograms. It allows platform teams to consolidate their Prometheus infrastructure into a single, cost-effective metrics store that can handle billions of active time series.