Built for developers,
by developers

Before GenAI, we were building ML systems — production pipelines, model monitoring, real-time inference. We’ve felt the pain of debugging black boxes and flying blind in prod. Traceloop is our answer: the tools we wish we had, now built for the new stack — LLMs included.

Trace Loop Team photo

Backed by Amazing Investors

We are fortunate to work with some of the best investors in the world.

Ibex Investors

Ride Home Fund

Y Combinator

Olivier Pomel
CEO, Datadog

Sorenson Capital

Milin Desai
CEO, Sentry

Samsung Next

Shay Banon
CEO, Elastic

Grand Ventures

David Cramer
Founder, Sentry

From The Press

Traceloop Launches an Observability Platform for LLM-Based Apps

The emergence of generative artificial intelligence (GenAI), powered by large language models (LLMs) has accelerated the widespread adoption of artificial intelligence. GenAI is proving to be very effective in tackling a variety of complex use cases with AI systems operating at levels that are comparable to humans.

Frederic

Frederic Lardinois

Trace Loop Team photo

calcalistech.com

Traceloop raises $6.1 million in Seed funding to stop AI agents from going rogue

The emergence of generative artificial intelligence (GenAI), powered by large language models (LLMs) has accelerated the widespread adoption of artificial intelligence. GenAI is proving to be very effective in tackling a variety of complex use cases with AI systems operating at levels that are comparable to humans.

Traceloop Theme

Observe GenAI with IBM Instana Observability

The emergence of generative artificial intelligence (GenAI), powered by large language models (LLMs) has accelerated the widespread adoption of artificial intelligence. GenAI is proving to be very effective in tackling a variety of complex use cases with AI systems operating at levels that are comparable to humans.

Ajuma Bella Salifu

Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

In the rapidly evolving landscape of artificial intelligence, ensuring your AI model’s optimal performance, reliability, security, and user trust is paramount.

The Startup Helping You Confidently Deploy and
Measure the Quality of Your LLM Product

If you're utilizing Large Language Models (LLMs) today, such as ChatGPT or Claude, you've likely stumbled upon its quirks: responses that are totally irrelevant, or those that simply aren't quite what you prompted.