FIN Framework Ratings (September 2025)
This page breaks down FIN Framework 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 FIN Framework’s overall reputation. This data-driven overview will show you exactly how FIN Framework is rated - including how it compares to competitors.
FIN Framework's Overall Rating Summary
- Average Rating:4.9/5
- Total Reviews:14 reviews
- Sources:G2, Capterra, Getapp, Facebook
- Last updated:September 1, 2025
What is FIN Framework?
J2 Innovations' FIN Framework is a cutting-edge open platform designed to make buildings, equipment, and IoT systems smarter and more efficient, featuring application suites for Supervisory & Control, microBMS, and Equipment Control & Optimization. FIN includes apps for creating custom dashboards, generating reports, and managing documents, and supports multiple protocols like BACnet, Modbus, and MQTT for seamless integration. The platform also offers secure edge management via the Edge2Cloud app, enabling encrypted remote access and integration with third-party cloud applications.
🤔 FIN Framework vs Competitors: How Do Ratings Compare?
Check out FIN Framework AlternativesFrequently Asked Questions
How trustworthy is FIN Framework?
According to Capterra review site FIN Framework holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.
How many stars is FIN Framework rated?
FIN Framework has an average star rating of 4.9 out of 5 stars based on average of 14 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from FIN Framework public reviews pages on platforms: G2, Capterra, Getapp, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for FIN Framework 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.