Maya Labs vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
Self-programming AI machines for enterprise workflow automation; $1M revenue in 2024 backed by YC and Fundamental Ventures competing with UiPath for repetitive operational task automation.
About
Maya Labs is a Bengaluru-based applied AI company developing self-programming AI systems that automate enterprise workflows — building agents that can autonomously understand, replicate, and execute repetitive operational tasks across business software, replacing the manual process work that occupies significant staff time in operations, finance, and customer service functions. Founded in 2020 by Sibesh Kar and Shubham Mishra and a Y Combinator graduate backed by Fundamental Ventures and Pioneer Fund with $840,000 raised, Maya Labs achieved $1 million in revenue in 2024 with a lean team.
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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