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What is Luminoso?

Luminoso revolutionizes the way unstructured text data is transformed into essential business insights. By harnessing common-sense artificial intelligence, we enable organizations to comprehend and act upon the information they receive. Our platform is designed to require minimal setup, ongoing maintenance, or training, and it operates without the need for any initial data input. Luminoso merges cutting-edge natural language understanding technology with an extensive knowledgebase to learn and interpret words in context as humans do, allowing for rapid text analysis that takes minutes rather than months. Furthermore, our software supports over a dozen languages natively, empowering leaders to swiftly investigate data relationships, understand feedback, and prioritize queries to maximize value. As a privately held company, Luminoso is based in Boston, MA, and is dedicated to simplifying the complexity of data interpretation for organizations worldwide.

What is Azure AI Content Understanding?

Azure AI Content Understanding enables organizations to transform unstructured multimodal data into meaningful insights. This innovative solution facilitates the extraction of crucial information from a variety of input forms, encompassing text, audio, images, and video content. By leveraging sophisticated AI methodologies such as scheme extraction and grounding, businesses can obtain high-quality and accurate data for their subsequent applications. The integration of multiple data types into a unified workflow not only streamlines operations but also contributes to cost savings and a quicker realization of benefits. For example, businesses and customer service agents can extract essential insights from call recordings, allowing them to track critical performance metrics, enhance product experiences, and respond to customer queries with increased efficiency and speed. Furthermore, by processing an extensive range of modalities—such as documents, images, audio, and video—Azure AI offers a collection of models that enable the conversion of raw input into structured data that can be easily analyzed and applied in various applications. This powerful capability significantly improves decision-making processes and fosters innovation across numerous industries, showcasing the potential of AI in today's data-driven landscape.

Media

Media

Integrations Supported

Integrations Supported

Azure AI Content Safety
Azure AI Services
Microsoft Azure
Microsoft Foundry
Microsoft Intelligent Data Platform
Openlayer

API Availability

API Availability

Pricing Information

$1250/month

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard 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
On-Site Training

Company Facts

Organization Name

Luminoso Technologies Inc.

Date Founded

2010

Company Location

United States

Company Website

luminoso.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-content-understanding

Categories and Features

Customer Experience

Analytics
Customer Segmentation
Dashboard
Sentiment Analysis
Text Analysis

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Sentiment Analysis
Text Analytics

Experience Management

Analytics
Customer Segmentation
Sentiment Analysis
Text Analysis

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Visualization

Natural Language Processing

In-Database Text Analytics
Parsing
Part-of-Speech Tagging
Stemming/Lemmatization
Tokenization

Predictive Analytics

AI / Machine Learning
Sentiment Analysis

Qualitative Data Analysis

Data Visualization
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Document Filtering
Graphical Data Presentation
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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