Tines vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Security and IT workflow automation platform (unicorn, Feb 2025 at $1.125B) processing 1B+ automated actions weekly; 200% revenue growth serving Coinbase and LinkedIn competing with Palo Alto XSOAR.
About
Tines is a Dublin-based no-code workflow automation platform that originated as a security operations automation tool and has expanded to serve broader IT, infrastructure, and business process automation needs — enabling security and IT teams to build complex automated workflows without programming by connecting APIs, creating conditional logic, and deploying AI agents that act autonomously on data. Founded in 2018 by Eoin Hinchy and Thomas Kinsella (former security engineers at DocuSign and eBay) and backed by Accel and Addition, Tines achieved unicorn status in February 2025 at a $1.125 billion valuation, processing over 1 billion automated actions weekly for customers including Coinbase, Databricks, and LinkedIn, with 200% revenue growth over 18 months.
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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