Traceloop vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Tel Aviv YC LLM observability platform at $1.2M revenue Jun 2024 with OpenLLMetry open-source; $6.6M total ($6.1M Sorenson/Ibex seed May 2025) monitoring AI application production quality competing with LangSmith for AI debugging.
About
Traceloop is a Tel Aviv, Israel-based LLM observability platform — backed by Y Combinator with $6.6 million in total funding including a $6.1 million seed in May 2025 led by Sorenson Capital and Ibex Investors with Y Combinator, Samsung NEXT, and Grand Ventures — providing developers and enterprises building LLM-powered applications with monitoring, evaluation, and observability tools for detecting and debugging AI reliability issues in production. Achieving $1.2 million in revenue in June 2024 with an 8-person team, Traceloop maintains OpenLLMetry (an open-source observability framework for LLM applications based on OpenTelemetry standards) that has become a widely adopted tool for AI application debugging and quality monitoring.
SF YC AI test automation at $1M ARR Dec 2024 with 5 employees; ex-Google/Uber founders with self-healing tests that auto-repair when UI changes helping OpenArt scale to $16M ARR competing with Mabl for zero-flakiness CI testing.
About
Stably AI is a San Francisco-based AI test automation platform — backed by Y Combinator — reaching $1 million in annual revenue in December 2024 with a 5-person team — providing engineering teams with an AI platform that auto-generates, runs, and maintains end-to-end tests in CI/CD pipelines with zero-flakiness guarantees and self-healing capabilities that automatically repair tests when UIs change, replacing the brittle Playwright and Cypress test suites that break with every UI update. Founded in 2023 by ex-Google Chrome infrastructure engineer Jinjing Liang (CEO) and ex-Uber Safety ML engineer Neil Parker (CTO), Stably enables customers like OpenArt (which scaled to $16M ARR with a 10-person engineering team using Stably) to achieve test coverage without dedicated QA engineers.
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