This page breaks down SpendAi 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 SpendAi’s overall reputation. This data-driven overview will show you exactly how SpendAi is rated - including how it compares to competitors.

SpendAi's Overall Rating Summary

  • Average Rating:4.5/5
  • Total Reviews:5 reviews
  • Sources:G2, Capterra
  • Last updated:September 1, 2025

SpendAi Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.5/5
5+ reviews07.10.24
Capterra logoCapterra
0/5
0+ reviews14.08.24

What is SpendAi?

ElectrifAi offers pre-built Machine Learning, NLP, and Computer Vision software products designed to solve high-value business problems, driving top-line revenue growth, improving operational efficiency, and reducing risk. Their solutions are API-ready and containerized, ensuring quick deployment and scalability, with a unique pay-for-success model guaranteeing a 5X ROI within 6-8 weeks. They serve a diverse range of clients, from Fortune 500 companies to mid-sized enterprises, transforming data into a strategic asset for enterprise growth and profitability.

🤔 SpendAi vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is SpendAi?

According to G2 review site SpendAi holds rating of 4.5/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is SpendAi rated?

SpendAi has an average star rating of 4.5 out of 5 stars based on average of 5 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from SpendAi public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for SpendAi 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.