Rainforest QA changelog · Mar 2026
Rainforest added an MCP server so customers can generate and run tests from AI coding tools like Claude Code, Cursor, and Windsurf directly inside the editor.
no-code end-to-end testing that integrates with any CI/CD pipeline
Public company, workplace, funding, and market signals
Rainforest QA is a Y Combinator-backed, remote-first AI test automation platform for SaaS teams. It combines no-code test creation, self-healing automation, AI-assisted coverage planning, and managed Test Managers to help customers ship faster without building a large in-house QA function.
Primary product
AI-powered no-code test automation platform with managed Test Managers
Founded
2012
Headquarters
San Francisco, California, United States
Team size
70-80
Work style
Remote
Industry
Software Development
Sub-industry
QA / test automation (developer tools)
Offices
0 jobs at Rainforest
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Business model
Stage
Series B
Total raised
$41.2M
Latest round
Series B · Jan 2018
Latest amount
$25M
Leadership
Co-founder & CEO
Chief Operating Officer
Head of Product
Jim Andelman
Board Member and Investor
Founders
Co-founder & former CTO
Remote-first, globally distributed, experimentation-oriented, and transparent. Public materials emphasize continuous improvement, plain-English/no-code accessibility, and a culture that spans many time zones.
Work style
Remote
Compensation
Public hiring materials say compensation expectations are discussed early in the interview process, before the time-intensive stages. I did not find a public salary-band page or explicit visa-sponsorship policy.
Pricing
Publicly visible freemium / paid-plans model; enterprise and managed-service pricing is sales-led.
Differentiators
Technology
Customers
Competitors
Estimated revenue
$20M-$30M
Estimated monthly visits
62.8K
Traffic estimate as of Jun 2026
Rainforest QA changelog · Mar 2026
Rainforest added an MCP server so customers can generate and run tests from AI coding tools like Claude Code, Cursor, and Windsurf directly inside the editor.
Rainforest QA blog · Feb 2026
A technical post describing how the team used AI-assisted development workflows to move from meeting notes to production-ready core logic in under 40 minutes.
Rainforest QA on LinkedIn · Dec 2025
Rainforest shared an update to its QA research/report, highlighting higher AI adoption and productivity in test automation and pointing to AI + no-code as the key unlock.
Rainforest QA blog · Dec 2025
Launch of AI Test Planner, a crawler-based planning tool that maps app coverage and turns the output into a structured test plan for customers.
Rainforest QA blog · Jul 2025
Overview of how Rainforest uses generative AI for test creation, self-healing, and improving automation workflows for customers.