Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Allganize offers cutting-edge AI solutions that empower businesses to streamline both customer and employee support effectively. Within just four months post-implementation, companies can automate approximately 72% of their monthly support tickets. Our AI technology takes care of straightforward customer inquiries, allowing support agents to concentrate on more intricate challenges. Employees can engage in a conversational manner to pose questions and receive answers from a variety of document types seamlessly. Additionally, our conversational AI chatbot is pre-trained for integration with your websites, enhancing customer service automation. The intelligent search capability precisely extracts answers from any document almost instantly. It also identifies key terms from documents and systematically categorizes them, delivering valuable insights for better decision-making. By understanding the context of product reviews through natural language processing, it can automatically discern whether experiences are positive or negative. Furthermore, it assigns predefined categories to customer support interactions, enabling accurate identification of user intent and enhancing overall customer satisfaction. This comprehensive approach ensures businesses can optimize their operations while delivering superior service.
Description
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Unremot
Yes
Azure Marketplace
No
Facebook
Yes
KakaoTalk
Yes
LINE
Yes
LINE WORKS
Yes
Microsoft Teams
Yes
Slack
Yes
TAS Insight Engine
No
Integrations
Unremot
Yes
Azure Marketplace
Yes
Facebook
No
KakaoTalk
No
LINE
No
LINE WORKS
No
Microsoft Teams
No
Slack
No
TAS Insight Engine
Yes
Pricing Details
$2 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
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)
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Allganize
Country
United States
Website
allganize.ai/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Product Features
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
Product Features
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
No