OllyGarden, a platform designed to improve telemetry quality for observability engineers and AI agents, has raised US$4 million in venture capital funding and launched a new product capability called Minimum Viable Instrumentation. The funding round includes Next Frontier Capital, Grand Ventures, ACTAI, and existing investor DIG Ventures, with strategic investments from Datadog, Grafana Labs, and Dash0. The announcement highlights growing demand for reliable telemetry data as AI-generated code and agentic operations increase the volume of noisy information.
Funding and strategic backing
The round was backed by leading venture capital firms and observability technology leaders. Next Frontier Capital, Grand Ventures, and ACTAI joined existing investor DIG Ventures, while Datadog, Grafana Labs, and Dash0 made strategic investments. The new capital will support product development and expansion across retail, financial services, and enterprise software, where OllyGarden already works with customers.
The telemetry quality problem
OllyGarden is focused on ending noisy, messy, and expensive telemetry systems that produce high volumes of bad or unreliable data. The company says the rise of AI-generated code has created a mirror effect across telemetry, leaving engineers and AI agents overwhelmed by unnecessary information while critical signals are missed. Over the past year, OllyGarden has helped companies identify volume reduction opportunities across up to 85% of their logs.
How OllyGarden works
The platform continuously evaluates telemetry quality, identifies issues, and turns its findings into source-level fixes. This approach stops bad telemetry data from reaching observability backends in the first place, helping teams move from firefighting to future-proofing. In practice, engineers and AI agents can make decisions based on clear data and prevent bad information from seeping into wider operations.
Minimum Viable Instrumentation
The new Minimum Viable Instrumentation capability expands the role of Rose, OllyGarden's AI OpenTelemetry Engineer. Rose can now detect where no existing instrumentation exists and provide a path to establishing an instrumentation baseline. The company said the goal is to bring best practice instrumentation to every team, repository, and pull request while keeping telemetry at a minimum and avoiding additional noise.
Founder perspective
Founder Juraci Paixão Kröhling said more instrumentation is not better instrumentation, and the focus should be on surfacing information that is useful and actionable. He explained that AI-generated code has flooded observability teams with high volumes of bad data that they do not need, and organizations are paying heavily to store and query it. Kröhling added that OllyGarden was founded to weed out bad telemetry and provide a clear, simple route to insight that can scale across an organization.
Investor commentary
Rytis Vitkauskas, Partner at DIG Ventures, said telemetry quality is a foundational enterprise problem that everyone has and nobody owns, and AI has made it urgent. Amanda Terry, Managing Partner at ACTAI Ventures, described agentic operations at an inflection point and said OllyGarden is building a trust layer for AI agents. Franz Kofler, Partner at Next Frontier Capital, noted that telemetry has quietly become the data layer AI operates from and remains among the least governed enterprise data.
Minimum Viable Instrumentation is available to all existing enterprise customers, with a free trial available to new customers. OllyGarden was founded in 2025 by Juraci Paixão Kröhling, an OpenTelemetry Governance Committee member, and is built by OpenTelemetry contributors. The company's mission is to help every organization confidently generate, collect, and store the telemetry it needs without excess.