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

QANplatform's Overall Rating Summary

  • Average Rating:5.0/5
  • Total Reviews:9 reviews
  • Sources:G2, Capterra
  • Last updated:September 1, 2025

QANplatform Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
5/5
9+ reviews01.09.25
Capterra logoCapterra
0/5
0+ reviews14.08.24

What is QANplatform?

QANplatform is a decentralized, low-cost, fast, secure, scalable, and eco-friendly blockchain platform that allows developers to build quantum-resistant smart contracts and Web3 solutions in any programming language. It features Ethereum EVM compatibility, multi-language smart contracts, and cloud platform integrations, enabling quick and efficient development. The platform also offers unique lattice-based cryptography for quantum security and a Proof of Pseudo Randomness consensus algorithm for a green and fast operation.

🤔 QANplatform vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is QANplatform?

According to G2 review site QANplatform holds rating of 5/5, highlights excellent reputation and user approval as of September 2025.

How many stars is QANplatform rated?

QANplatform has an average star rating of 5.0 out of 5 stars based on average of 9 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from QANplatform 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 QANplatform 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.