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Description
Contextere's Madison is an advanced natural language processing platform powered by deep learning, designed to gather and organize data from various enterprise systems, sensors, and final-stage sources, transforming fragmented information into useful insights. Envision a scenario where employees can communicate directly with machinery regarding error messages, service notifications, live data streams, or historical performances. Tailored specifically for frontline workers in industrial environments, Madison equips blue-collar employees with the tools necessary to make crucial decisions that influence productivity, safety, and overall expenses. By extracting data from enterprise systems, IoT devices, and specific technical fields, Madison generates valuable operational insights that are delivered in real time to the end users who are engaged in the tactical execution of their tasks. The platform consists of two main software elements: an insight engine that serves as the core of the system, efficiently pulling in data from various enterprise, IoT, and technical sources. This innovative approach not only streamlines communication but also enhances decision-making processes, ultimately fostering a more efficient work environment.
Description
Reduce technical engineering-related risks that can affect performance, operational reliability, and maintenance costs through the use of modeling, analysis, and decision support processes. The MADe system facilitates improved decision-making regarding the design and maintenance of safety and mission-critical equipment throughout the entire product lifecycle. By employing interdependent analysis capabilities, it addresses the technical, operational, and economic needs of the system's operators and maintainers, thereby mitigating risks effectively. Furthermore, MADe serves as a comprehensive analysis tool that produces the necessary documentation for Airworthiness certification. Conducting analysis concurrently with the design phase enhances the efficiency of the certification process significantly. Additionally, MADe meticulously tracks the origins of all parameters utilized in its analyses, ensuring a robust mechanism for evaluating the quality of data that informs engineering decisions and assessments. This attention to detail ultimately strengthens the reliability and effectiveness of the engineering processes involved.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$10000.00/year
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Contextere
Founded
2015
Country
Canada
Website
contextere.com/technology/
Vendor Details
Company Name
PHM Technology
Founded
2006
Country
Australia
Website
www.phmtechnology.com
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control