Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
GlobIQ Data Collection serves as the crucial initial phase of digital transformation for telecommunications and utility firms, allowing them to create precise digital replicas of their networks. By gathering high-quality data through field surveys, existing paper records, and various digital platforms, it streamlines the digitization of widely distributed network assets using AI/ML technologies for recognizing objects and attributes. This system enhances intelligent document categorization and data extraction through iDoc while employing FME to facilitate the migration and validation of data from digital sources. Throughout the digitization initiative, we provide you with access to the amassed data and tools necessary for keeping your network model current. As a result, the digital transformation of essential business operations will be both quicker and more cost-effective. Additionally, extracting information from outdated paper documents can be labor-intensive and prone to mistakes, especially given that networks consist of numerous geographically scattered components. Ultimately, implementing a robust data collection strategy can significantly improve operational efficiency and decision-making.
Description
Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Sheets
No
Microsoft Excel
No
iDoc
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Globema
Founded
1997
Country
Poland
Website
www.globema.com/globiq/data-collection/
Vendor Details
Company Name
Shaip
Country
United States
Website
www.shaip.com
Product Features
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No