Rootly vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF Slack-native incident management resolving 60,000+ incidents annually 80% faster for Canva and Nvidia; YC W21 $15.2M Renegade-backed competing with PagerDuty and Incident.io for DevOps incident automation.
About
Rootly is a San Francisco-based incident management platform — backed by Y Combinator (W21) with $15.2 million raised including a $12 million Series A led by Renegade Partners in August 2023 — automating on-call alerting, incident declaration, Slack workflow coordination, status page updates, and post-mortem documentation for engineering and DevOps teams, processing 60,000+ incidents annually for customers including Canva, Nvidia, and TripAdvisor. Founded in 2021 and achieving 400% revenue growth in the 12 months preceding the Series A, Rootly reduces incident resolution time by 80% by automating the manual coordination overhead that currently consumes engineering time during production outages.
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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