
mabl
TestMu AI (Formerly LambdaTest)
Ghost Inspector
Leapwork
Katalon
Testim
Testsigma
Functionize combines natural language processing, deep-learning ML models and other AI-based technologies to empower your team to build tests faster that don’t break and run at scale in the cloud.

AMPECO
Evoltsoft
Powerfill.io
ev.energy
Virta Health
YoCharge
EV Range
Driving Innovation

Which is more popular?
Based on our record, Monta App seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | functionize.com | monta.app |
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| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Functionize yet.
Monta is an all-in-one EV charging app designed to make your charging experience simpler, greener, more convenient and cost-efficient. As the world is steadily approaching an all-electric future, it is necessary to further develop the EV charging network by increasing the number of charge points...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
How Functionize Improves Software Testing
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Functionize and Monta App. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Functionize since Mar 2021.
Https://monta.app is a charge point agnostic platform it’s only available in Europe right now but the app is pretty slick and it’s expanding to other markets soon. Source: about 5 years ago
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EV charging software, white-label EV management, charging station solutions, OCPP integration, OCPI support, customizable EV software, payment integration for EV, API for charging management
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EV charging & energy management platform. Built on open standards. From the creators of SteVe, the world's most trusted open-source OCPP server (1k+stars on GitHub)
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