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

Mind Vector's Overall Rating Summary

  • Average Rating:4.2/5
  • Total Reviews:158 reviews
  • Sources:G2, Capterra, Softwareadvice
  • Last updated:September 1, 2025

Mind Vector Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
0/5
0+ reviews14.08.24
Capterra logoCapterra
4.2/5
79+ reviews01.09.25
Softwareadvice logoSoftwareadvice
4.2/5
79+ reviews01.09.25

What is Mind Vector?

i2e Consulting offers customized solutions integrating PPM dashboards, AI, and cloud technologies to enhance decision-making, operational efficiency, and business agility. Their services include portfolio decision analytics, resource management, and pharma analytics, leveraging partnerships with Planisware and Dataiku. They provide seamless cloud migration, AI-driven applications, and comprehensive Planisware® partnership services globally.

🤔 Mind Vector vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is Mind Vector?

According to Capterra review site Mind Vector holds rating of 4.2/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is Mind Vector rated?

Mind Vector has an average star rating of 4.2 out of 5 stars based on average of 158 reviews as of September 2025.

Where does the rating data come from?

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

How overall average rating for Mind Vector 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.