groundcover
groundcover is a full-stack observability platform that uses an adaptive eBPF sensor to collect logs, metrics, and traces with zero code changes. Deployed inside the customer's own cloud via a BYOC architecture, it provides unlimited data coverage with predictable per-node pricing. The platform includes Agent Mode, an AI assistant that runs inside the customer's cloud to investigate issues and automate workflows.
- Developer Tools
- AI Agents
- Artificial Intelligence
- Software Only
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$160MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 4 rounds
J+1$100M · Series C
Announced Jul 2026 · from article date
Disclosed cumulative: $159.5M
Founders
Product
Problem
Legacy observability platforms were designed to reduce data and require heavy manual instrumentation, creating visibility gaps that limit both engineers and AI agents. Telemetry volumes are doubling every few months with cloud-native adoption and AI workloads, forcing teams to sample, throttle, or silo their data—while legacy pricing models based on data volume drive costs to unsustainable levels.
Solution
groundcover provides a full-stack observability platform built on an adaptive eBPF sensor that collects and processes telemetry at the edge, with no code changes or system restarts. The platform captures full-fidelity, unsampled telemetry across infrastructure, applications, and AI workloads, with native support for OpenTelemetry and open standards. Data is stored in the customer's own cloud environment through a Bring Your Own Cloud (BYOC) architecture, ensuring privacy and control. The platform includes Agent Mode, an AI assistant that runs inside the customer's cloud account to investigate issues, run queries, and automate remediation workflows. A unified interface allows engineers to monitor everything from infrastructure to applications to user sessions in one place.
Target Audience
groundcover is designed for DevOps engineers, SREs, platform engineers, and CTOs/VPs of R&D at cloud-native organizations that need comprehensive observability for Kubernetes environments and AI workloads without the complexity and cost of traditional monitoring solutions.
Features
- Adaptive eBPF sensor for zero-code instrumentation with kernel-level visibility across the entire stack
- BYOC architecture that stores all telemetry inside the customer's VPC with no data leaving the environment
- Agent Mode AI assistant that runs on Amazon Bedrock, OpenAI ChatGPT, or Anthropic Claude inside the customer's cloud with no data transfer
- gcQL unified query language for querying logs, metrics, traces, events, and entities through a single interface
- Unlimited cardinality and data depth with no sampling, no retention limits, and flat per-node pricing
- Native OpenTelemetry and Prometheus support for streaming data from various sources
- Cross-signal data enrichment with identifiers that connect logs, traces, metrics, and events automatically
- Background AI jobs that auto-generate service topology maps, incident summaries, and configuration suggestions