One Model Ratings (September 2025)
This page breaks down One Model 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 One Model’s overall reputation. This data-driven overview will show you exactly how One Model is rated - including how it compares to competitors.
One Model's Overall Rating Summary
- Average Rating:4.8/5
- Total Reviews:13 reviews
- Sources:G2, Capterra, Facebook
- Last updated:September 1, 2025
G2
Capterra
FacebookWhat is One Model?
One Model offers a comprehensive people analytics platform called People Data Cloud™, which helps large enterprises and government agencies make data-informed talent decisions by integrating data from various HR and non-HR sources into a single source of truth. The platform features AI/ML predictive models, pre-built customizable metrics and dashboards, and precise role-based permissions to empower decision-making at all organizational levels. Additionally, One AI provides predictive insights by using machine learning and artificial intelligence to uncover relationships and predict future outcomes, ensuring model transparency and ethical compliance.
🤔 One Model vs Competitors: How Do Ratings Compare?
Check out One Model AlternativesFrequently Asked Questions
How trustworthy is One Model?
According to G2 review site One Model holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.
How many stars is One Model rated?
One Model has an average star rating of 4.8 out of 5 stars based on average of 13 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from One Model public reviews pages on platforms: G2, Capterra, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for One Model 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.