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Know what your LLM is doing — and why it’s failing
Traceloop gives you full visibility into every prompt, response, and failure. Track quality, detect drift, and stop hallucinations before they reach your users. Powered by OpenTelemetry, integrated in one line.
Traceloop provides an LLM reliability platform that turns evals and monitoring into a continuous feedback loop, enabling visibility into prompts, responses, latency, and quality metrics. It aims to help teams catch issues early, define custom quality, and deploy safely across cloud, on-prem, or air-gapped environments.
Traceloop collects raw LLM logs and converts them into clear insights with one-line-of-code integration for live visibility into prompts, responses, latency, and more. It runs trusted quality checks (faithfulness, relevance, safety) automatically on real data, allows defining custom quality metrics and annotating examples to train a bespoke evaluator, and integrates standard and custom evaluations into CI/CD or real-time app runs. The platform supports on-prem, cloud, and air-gapped deployments, OpenTelemetry-based gateway (Hub), and OpenLLMetry open-source SDK, with compatibility across 20+ providers, vector DBs, and popular frameworks, all while providing open standards and transparency.
Who it’s for: LLM-enabled teams and organizations needing observable and controllable AI reliability across development and production, from startups to enterprises, including cloud and air-gapped environments.
Hiring and growth implied by enterprise-ready features, SOC 2/HIPAA compliance, multi-cloud/on-prem deployment, and marketplace availability
Ex-Google, formerly chief architect at Fiverr. Over 15 years of experience building software. M.Sc in CS from the Hebrew University in Jerusalem.
Formerly an R&D Group Manager @ Fiverr. Tech savvy with a vast experience leading software development projects from SaaS products and experiences to Data & ML infrastructure.
Know what your AI Agent is doing — and why it’s failing
Traceloop provides evaluations and real-time monitoring for AI agents, offering open-source tools (OpenLLMetry, Hub) and a commercial platform to train evaluators, experiment with models, and monitor performance to reduce risk and improve reliability before and after release.
Formerly “Rovie”, “Vecinity”, “Enrolla” · why startups rename →
Open source LLM engineering platform
Dead simple LLM testing and iteration
