Traceloop
Open-source LLM observability using OpenTelemetry standards
Updated April 2026
Overview
- Website
- traceloop.com
- Segment
- LLM Observability & Tracing
Product overview
Traceloop is an AI observability platform that helps developers test, troubleshoot, and improve large language model (LLM) applications before deployment. Built on open-source OpenLLMetry, the platform provides automated evaluation, monitoring, and quality checks for AI agents in production environments. The company completed a $6.1 million seed round in May 2025 and serves enterprise customers including IBM, Cisco, Dynatrace, and Miro.
Revenue model
Commercial platform subscription for LLM observability and monitoring services
Moat
Traceloop's key competitive moat is its open-source foundation in OpenLLMetry, built on OpenTelemetry standards, which drives rapid adoption by enterprises like Cisco, Dynatrace, IBM, and Miro while enabling a commercial platform that delivers automated LLM evaluations, real-time monitoring, and actionable insights without vendor lock-in. This combination of network effects from OSS momentum, compatibility with 20+ LLM providers and frameworks like LangChain, and founder expertise from Google and Fiverr creates high switching costs through integrated observability pipelines that replace manual testing with data-driven reliability.
Headwinds
LLM observability market is crowded with many startups and established monitoring companies expanding into AI.