Rally UXR vs Stably AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
User research CRM automating participant screening, scheduling, and incentives for enterprise UX teams; $11M Series A in 2025 with $3.9M revenue competing with UserTesting and Respondent.
About
Rally UXR is a user research CRM platform that automates participant management for enterprise research teams — handling the time-consuming coordination work of screening research participants, scheduling sessions, sending outreach, and processing incentive payments, so UX researchers can focus on running studies rather than managing logistics. Founded in 2021 in New York City and a Y Combinator W22 graduate, Rally UXR raised $19.8 million total including an $11 million Series A led by Canapi Ventures in June 2025.\n\nRally UXR's platform serves as the participant database and operations layer for enterprise UX research programs — companies build and maintain a panel of customers and users willing to participate in research, and Rally automates the workflow of identifying eligible participants for each study, scheduling sessions via calendar integration, sending consent forms and follow-up communication, and distributing gift card incentives. This automation is particularly valuable for companies running high volumes of user interviews (10-50+ sessions per month) where manual coordination creates significant researcher overhead.\n\nIn 2025, Rally UXR achieved $3.9 million in revenue in 2024 with 26-30 employees and competes in the user research operations market with UserTesting (full research platform), Respondent.io (participant recruitment marketplace), and Ethnio (intercept and participant management) for enterprise research coordination tools. The UX research operations category has grown as product-led companies formalize their research programs and need purpose-built infrastructure beyond spreadsheets and manual outreach. Rally's 2025 strategy focuses on deepening integrations with research platforms (Dovetail, Maze, UserZoom), growing enterprise accounts with multiple research teams, and expanding its participant panel management 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.
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