Stably AI vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
About
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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