Virtuoso Ratings (September 2025)
This page breaks down Virtuoso ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Virtuoso’s overall reputation. This data-driven overview will show you exactly how Virtuoso is rated - including how it compares to competitors.
Virtuoso's Overall Rating Summary
- Average Rating:4.4/5
- Total Reviews:355 reviews
- Sources:G2, Capterra, Gartner, Facebook
- Last updated:September 1, 2025
What is Virtuoso?
Virtuoso combines Natural Language Programming, Machine Learning, and Robotic Process Automation into a single GenAI test automation tool that is self-healing and scalable for faster deployment. Key features include Test Authoring in natural language, Test Execution with root cause analysis, self-healing Test Maintenance, and comprehensive Test Reporting. The platform supports Continuous Testing, AI-powered test automation, and low-code/no-code test automation, offering seamless integration with existing tech stacks to enhance test coverage, reduce risk, and accelerate time-to-market.
🤔 Virtuoso vs Competitors: How Do Ratings Compare?
Check out Virtuoso AlternativesFrequently Asked Questions
How trustworthy is Virtuoso?
According to G2 and Gartner review sites Virtuoso holds ratings of 4.5/5 and 4.7/5 respectively from 117 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Virtuoso rated?
Virtuoso has an average star rating of 4.4 out of 5 stars based on average of 355 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Virtuoso public reviews pages on platforms: G2, Capterra, Gartner, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Virtuoso is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.