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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Gnani.ai's AI-driven virtual assistant is a powerful and adaptable solution aimed at greatly improving customer interactions while simultaneously lowering operational expenses. This platform provides a low-code/no-code interface with more than 100 pre-configured workflows, enabling organizations to launch their services in under a week. It accommodates over 40 languages, guarantees immediate responses, and achieves a remarkable 70% cut in operational costs. Thanks to its sophisticated natural language understanding (NLU) features, it can effectively manage queries with multiple intents and entities, maintaining over 90% accuracy. Additionally, the system incorporates continuous unsupervised learning, which guarantees that the virtual assistant evolves and enhances its performance over time. With such impressive capabilities, businesses can expect not only efficiency but also a significant boost in user satisfaction.

Description

Develop applications utilizing conversational language understanding, an advanced AI capability that interprets user intentions and extracts crucial details from informal dialogue. Design customizable intent classification and entity extraction models tailored to your specific terminology across 96 different languages, allowing for multilingual functionality without the need for retraining after initial training in one language. Swiftly generate intents and entities while tagging your own utterances, and incorporate prebuilt components from an extensive range of standard types. Assess your models using integrated quantitative metrics such as precision and recall to ensure optimal performance. A user-friendly dashboard simplifies the management of model deployments within the accessible language studio. Effortlessly integrate with various other features in Azure AI Language, alongside Azure Bot Service, to create a comprehensive conversational experience. This conversational language understanding represents the evolution of Language Understanding (LUIS) and enhances the way users interact with technology. As the demand for intuitive communication increases, leveraging this technology can significantly improve user engagement and satisfaction.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Connect
Ameyo by Exotel
Aspect CTRM
Avaya Cloud Office
Azure AI Bot Service
Azure AI Services
Exotel
Freshdesk
Genesys Cloud CX
HubSpot CRM
Kaleyra
Knowlarity
LUIS
Microsoft Azure
Microsoft Bot Framework
Microsoft Dynamics 365
Oracle CRM On Demand
Twilio
Zendesk
Zoho CRM

Integrations

Amazon Connect
Ameyo by Exotel
Aspect CTRM
Avaya Cloud Office
Azure AI Bot Service
Azure AI Services
Exotel
Freshdesk
Genesys Cloud CX
HubSpot CRM
Kaleyra
Knowlarity
LUIS
Microsoft Azure
Microsoft Bot Framework
Microsoft Dynamics 365
Oracle CRM On Demand
Twilio
Zendesk
Zoho CRM

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$2 per month
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

gnani.ai

Country

India

Website

www.gnani.ai/products/ai-powered-virtual-assistant/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

Product Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives

Alternatives

LUIS Reviews

LUIS

Microsoft