iVe Mobile

Developer: Berla

Category: Productivity

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14.5K installs

20 ratings

665 monthly active users

Revenue not available

Install Trends

Weekly +32

Steady

Monthly +148

Steady

iVe Mobile Summary

iVe Mobile is a mobile Android app in Productivity by Berla. Released in Nov 2015 (10 years ago). It has about 14.5K+ installs and 20 ratings with a 4.55★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 665 monthly active users . Store metadata: updated Jan 28, 2026.

Recent activity: 32 installs this week (148 over 4 weeks) showing steady growth View trends →

Store info: Last updated on Google Play on Jan 28, 2026 .

SDKs, Trackers & Permissions

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App Details

Store ID: com.berla.ivemobile

First Released: 2015-11-13

Store Last Updated: 2026-01-28

In-App Purchases: No

Ads: No

Website: berla.co

App Store

Crawl Status: Success

AppGoblin First Crawled: 2023-12-27

AppGoblin Last Crawled: 2026-03-02

Ads & App-Ads.txt

App does not have ads.

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The download and scan process is automated but can require manual troubleshooting. Feel free to reach out if your request does not complete in 24hrs or if you have any questions.

4.55★

Ratings: 20

5★

4★

3★

2★

1★

Screenshots

App Description

App for investigators to view acquired vehicle data and associated resources

Vehicles hold a vast amount of data that can be used to uncover critical information during an investigation and help determine what happened, where it occurred, and who was involved.

iVe Mobile is a resource for investigators to identify vehicle systems, determine what information is obtainable, view system identification guides, access step-by-step walkthroughs for removing systems and instructions for acquiring data in a forensically sound manner.

The mobile app also gives users the ability to view the contents of their collections and conduct analysis whenever and wherever they need to. Users can securely share data acquired with other investigators, prosecutors and clients so that they can quickly and easily collaborate through the identification, acquisition and analysis of vehicle data.