OllyGarden
OllyGarden provides a telemetry quality platform that helps engineering teams find and fix bad OpenTelemetry data before it reaches any observability backend. Its AI agent, Rose, analyzes source code instrumentation and autonomously opens pull requests with fixes. The platform also includes Insights for diagnosing pipeline issues and Tulip, a commercially supported OpenTelemetry Collector distribution.
- Developer Tools
- AI Agents
- Artificial Intelligence
- Software Only
- Data & Analytics
- Enterprise Software
Funding
Raised to date
$5.6MRaised 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 2 rounds
AVDD+1$4M · Seed
Announced Oct 2026
Disclosed cumulative: $5.6M
Founders
Product
Problem
As systems grow, telemetry often becomes noisy, incomplete, inconsistent, or unsafe, creating problems that surface too late—higher observability bills, slower incident response, unreliable AI recommendations, and sensitive data appearing where it should not. Existing observability tools frequently fail to catch these issues at the source, leaving engineers to debug with low-quality data that undermines trust in their monitoring systems.
Solution
OllyGarden provides a telemetry quality platform that helps teams find and fix bad telemetry before it reaches any observability backend. The platform's products—Insights, Rose, and Tulip—work together to assess, improve, and maintain the quality of OpenTelemetry instrumentation. Rose, an AI agent, analyzes OpenTelemetry instrumentation in source code and autonomously opens pull requests with fixes, catching issues at the pull request stage before they reach production. Insights diagnoses instrumentation problems across the telemetry pipeline, while Tulip provides supported OpenTelemetry Collector operations. This approach transforms raw telemetry into trustworthy, actionable intelligence that engineers and AI agents can rely on from pull request to production.
Target Audience
Primary customers are engineering teams and organizations using OpenTelemetry who need to ensure telemetry quality before data reaches observability backends, including teams working with AI agents that depend on reliable telemetry for decision-making.
Features
- Rose AI agent that analyzes OpenTelemetry instrumentation in source code and autonomously opens pull requests with fixes
- Insights tool that diagnoses instrumentation problems across telemetry pipelines
- Tulip, a commercially supported OpenTelemetry Collector distribution with a curated component set and option to derive custom distributions
- Minimum Viable Instrumentation (MVI) methodology that brings low-volume, high-quality OpenTelemetry instrumentation to repositories
- Agent Skills for OpenTelemetry—an open source set of 14 skills giving coding agents accurate, current OpenTelemetry knowledge
- Log deduplication processor that reduces repetitive log noise, as most logs are at least 80% repetitive
- Sensitive data detection capabilities that identify PII, credentials, and unsafe attributes within telemetry pipelines