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Akribian VS smileML

Compare Akribian VS smileML and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Akribian logo Akribian

Akribian turns children into Mathemagicians with their new iOS app, Count on me!

smileML logo smileML

User research powered by emotion recognition
  • Akribian Landing page
    Landing page //
    2023-02-21

Welcome to Numberia!

Count on me! has been developed from the PhD research of co-founder Martin Hassler Hallstedt, which proved to improve children’s critical math skills by 60% in just 15 minutes/day over an 8 month period (compared to children who did not use the app).

As the developer of Count on me, Akribian are firmly at the forefront of the embedded teaching game category.

  • smileML Landing page
    Landing page //
    2023-06-18

Akribian

Website
akribian.com
Pricing URL
Official Akribian Pricing
$ Details
paid Free Trial £3.99 / Monthly (Includes up to 5 user profiles)
Platforms
iOS iPad
Edit details

smileML

Website
smile-ml.com
Pricing URL
-
$ Details
-
Platforms
-
Edit details

Akribian features and specs

  • Subscriptions: Yes
  • Free Trial: Yes

smileML features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Akribian and smileML)

Akribian

smileML

Kids Education
100 100%
Kids Education
0% 0
AI
0 0%
AI
100% 100
Edtech
100 100%
Edtech
0% 0
User Experience
0 0%
User Experience
100% 100

User comments

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What are some alternatives?

When comparing Akribian and smileML, you can also consider the following products

DragonBox Algebra - DragonBox Algebra 5+ - The educational game that secretly teaches you algebra.

Face++ - API for face detection – also detects gender, age, pose

Cool Math Endless Run - Cool Math Endless Run is a monster math game and an endless run adventure.

FaceAware - Image processing with the ability to focus on faces 📸👶

Bounty Matics - Math can be fun and Bounty Matics proves it - you play as a bounty hunter that must win duels.

Facesoft - The world's most accurate face recognition algorithm

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