Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
CIGNEX's DEEP™, a SaaS-based plug and play employee-centric collaboration platform, is available from CIGNEX. It connects and engages today’s intergenerational workforce that is geographically dispersed and diverse, enabling higher levels in performance at the individual, team, and organizational levels. DEEP™, an intuitive platform that is device-independent and extensible, allows employees to become engaged. DEEP™, a digital platform that brings together ideas, communication, sharing, and communities, allows for collaboration, ideation, communication and sharing. DEEP™, allows organizations to track and monitor employee engagement and organizational excellence and report on it.
Description
Protégé benefits from a robust network of users from academia, government, and industry, who utilize it to create knowledge-driven solutions across various fields such as biomedicine, e-commerce, and organizational modeling. Its versatile plug-in architecture allows for the development of both straightforward and intricate ontology-based applications. Developers have the capability to connect Protégé's outputs with rule systems or other problem-solving tools, enabling the creation of a diverse array of intelligent systems. Crucially, the dedicated Stanford team, alongside the extensive Protégé community, is readily available to provide assistance. This community actively engages by answering inquiries, contributing to documentation, and developing plug-ins. Furthermore, Protégé's foundation in Java enhances its extensibility, while its plug-and-play environment ensures it serves as a flexible platform for quick prototyping and application development, paving the way for innovative projects and solutions.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Analytics
No
Jira Work Management
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
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CIGNEX
Founded
2000
Country
United States
Website
www.cignex.com
Vendor Details
Company Name
Center for Biomedical Informatics Research
Country
United States
Website
protege.stanford.edu/
Product Features
Business Process Management
Access Controls / Permissions
No
Alerts / Notifications
No
Business Process Automation
No
Business Rules Management
No
Collaboration
No
Process Change Tracking
No
Process Mapping
No
Process Modeling & Design
No
Visual Workflow Management
No
Digital Experience Platforms (DXP)
Alerts / Notifications
No
Auto-Tagging
No
Blogs
No
Calendar
No
Content Modeling
No
Digital Asset Management
No
File Sharing
No
Form Builder
No
Forums / Message Boards
No
Headless CMS
No
Knowledge Base
No
Performance Monitoring
No
Personalization / Segmentation
No
Reporting / Analytics
No
Surveys / Polls
No
Templates
No
User Management / Permissions
No
Version Control
No
Wiki
No
Workflow Management
No
Enterprise Content Management (ECM)
Archiving & Retention
No
Collaboration Tools
No
Content Lifecycle Management
No
Digital Asset Management
No
Document Management
No
Electronic Signature
No
Information Governance
No
Mobile Access
No
Search
No
Version Control
No
Workflow Management
No
Robotic Process Automation (RPA)
Analytics
No
Attended Automation
No
Code-free Development
No
Image Recognition
No
Optical Character Recognition
No
Process Builder
No
Third Party Application Integration
No
Unattended Automation
No
Product Features
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
Yes