Groundcover has successfully raised $100 million in a Series C funding round, reflecting a significant shift in the observability landscape as companies begin to pivot towards AI infrastructure. This investment highlights the increasing demand for enhanced observability solutions in software development, particularly those that integrate advanced AI capabilities.
Groundcover’s latest offering, Agent Mode, is a built-in AI assistant designed to simplify the troubleshooting process for engineers. It allows users to analyze logs and traces effectively without the need for manually written queries, enhancing efficiency in addressing issues that arise during software deployment.
Traditionally, observability has been a reactive discipline focused on identifying outages and influencing post-production strategies. However, with the integration of AI, especially agentic systems, there is a pressing need to incorporate observability into the earlier stages of the software development lifecycle—specifically during coding and testing. Groundcover’s observability technology leverages open-source eBPF and OpenTelemetry technologies to monitor application and infrastructure activities, allowing for deeper insights without requiring extensive coding adjustments from developers.
The CEO and co-founder, Shahar Azulay, emphasized the fascinating evolution of observability, noting that as teams adopt AI tools rapidly, challenges in visibility are resurfacing. Azulay remarked that eBPF technology serves as a safety net by providing oversight over workflows, even when developers don’t instrument their code thoroughly.
This growing complexity is particularly noticeable with distributed tracing, a methodology that has been widely used to monitor the flow of requests across services. With AI agents creating unpredictable patterns in service calls, traditional tracing methods are proving to be inadequate. Groundcover’s innovative approach offers a new perspective—tracking various metrics such as latency, error rates, and even privacy-sensitive data while accommodating the unique needs of AI observability.
Another key feature of the Groundcover platform is the Model Context Protocol (MCP), which allows seamless interaction between Agent Mode and various coding agents. This functionality is designed to foster collaboration between engineers and intelligent systems during diagnostic processes. The rapid adoption of MCP underlines a larger trend towards developing autonomous software solutions within the industry.
Groundcover, founded in 2021, has successfully raised a total of $160 million in investment, signifying a robust backing from its investors which include One Peak, Morgan Stanley Expansion Capital, and others. The company’s focus remains on developing comprehensive observability technologies tailored for the AI-driven future of software development.
