# Field Collaboration

> Business

Canonical page: [https://chrome-stats.com/d/id6446090761](https://chrome-stats.com/d/id6446090761)

## Overview

- **ID:** `id6446090761`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** OverIT
- **Category:** Business
- **Rating:** 5.00 / 5 (1 ratings)
- **Version:** 3.9.3
- **Last updated:** 2025-01-29
- **First published:** 2023-05-31
- **Size:** 140 MB
- **Data as of:** 2026-09-24
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/field-collaboration/id6446090761)
- **Website:** [https://www.overit.it/en/product/](https://www.overit.it/en/product/)
- **Privacy policy:** [https://www.overit.it/en/privacy-policy/](https://www.overit.it/en/privacy-policy/)

## Description

Overview
OverIT offers advanced field collaboration features to assist, guide, and train physically separate workers, leveraging AR features and annotations, content sharing capabilities, and digital work instructions. Available even with “Hands-Free – RealWear device based”.

Functionality 
Augmented collaboration: quick access to the technical support needed by the industrial workforce and advanced remote collaboration capabilities between technicians and remote experts. 
- Whiteboard for content sharing 
- Capture evidence (photo and video) 
- Low bandwidth mode for collaboration in areas of poor network coverage 
- Taking control of client peripherals from remote 
- AR annotations kit 
- Notifications between users (messaging) 
- Call request notification through email for offline users 
- Chat for text messages in the call session 
- Screen sharing from device 

Digital work instructions: Step-by-step digital work instructions to guide technicians in task execution, directly in the field by accessing knowledge repository content and connecting to IoT Hub. 
- Work instructions setup including layers of text description, photographic or video reference imagery (no coding skills required) 
- Import of work instructions from Excel, automation of work instructions through conditionals 
- Asset recognition 
- Information on asset 
- Objects as virtual models 
- Virtual whiteboard 

Knowledge Management: ML-driven knowledge management to capture, enhance, redistribute expertise, and drive continuous improvement, aiding the sharing of learned expertise. 
- ML-driven data extraction 
- ML-driven video indexing 
- Content linked to assets 
- AWC – Automatic Workflow Creator 
- Knowledge repository access 

Benefits 
- Engage subject matter experts with relevant expertise in a specialized job, task, or skill 
- Enable organizational learning and knowledge transfer 
- Empower frontline workforce with advanced field collaboration capabilities 
- Limit travel, enable multi-site team collaboration connecting resources in a short time 
- Drive productivity, safety, and quality improvements

## Rankings

- #926,913 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6446090761)