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What is Intellex?

Transform your business with THOUGHT BOX, driving your digital evolution in the E-Remittance and E-Payment arenas through state-of-the-art technological advancements. Our expertise stems from extensive research and analysis, meticulously crafted for mobile remittance solutions. By leveraging THOUGHT BOX’s innovations in mobility, your organization can significantly elevate its customer service capabilities. Our offerings are designed to scale seamlessly, effectively overcoming performance hurdles as your business grows, with IntellEx and Qomply built on a powerful technology framework that ensures superior scalability and efficiency. The rapid implementation of IntellEx and Qomply enables your organization to start operations smoothly, using adaptable modules that require no technical skills to launch. Additionally, we are excited to unveil Mobile Management within IntellEx, which empowers managers to track their operations from anywhere, guaranteeing that you stay connected and in control at all times. With the capabilities of IntellEx Mobile, you can manage your enterprise while on the move, enhancing both productivity and responsiveness, and ensuring you never miss a beat in your operations. This comprehensive approach positions your business for sustainable growth in a competitive digital landscape.

What is Intel Geti?

Intel® Geti™ software simplifies the process of developing computer vision models by providing efficient tools for data annotation and training. Among its features are smart annotations, active learning, and task chaining, which empower users to create models for various applications such as classification, object detection, and anomaly detection without requiring additional programming. Additionally, the platform boasts optimizations, hyperparameter tuning, and production-ready models that work seamlessly with Intel’s OpenVINO™ toolkit. Designed to promote teamwork, Geti™ supports collaboration by assisting teams throughout the entire lifecycle of model development, from data labeling to successful model deployment. This all-encompassing strategy allows users to concentrate on fine-tuning their models while reducing technical challenges, ultimately enhancing the overall efficiency of the development process. By streamlining these tasks, Geti™ enables quicker iterations and fosters innovation in computer vision applications.

Media

Media

Integrations Supported

Intel Open Edge Platform
OpenVINO

Integrations Supported

Intel Open Edge Platform
OpenVINO

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ThoughtBox

Company Location

India

Company Website

www.thoughtbox.io

Company Facts

Organization Name

Intel

Date Founded

1968

Company Location

United States

Company Website

www.intel.com/content/www/us/en/developer/tools/tiber/edge-platform/model-builder.html

Categories and Features

Financial Services

Analytics
Branch Optimization
Channel Management
Compliance Management
Customer Engagement
Performance Management
Risk Management

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

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