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Average Ratings 0 Ratings
Description
Amazon Lex is a service designed for creating conversational interfaces in various applications through both voice and text input. It incorporates advanced deep learning technologies, such as automatic speech recognition (ASR) for transforming spoken words into text, along with natural language understanding (NLU) that discerns the intended meaning behind the text, facilitating the development of applications that offer immersive user experiences and realistic conversational exchanges. By utilizing the same deep learning capabilities that power Amazon Alexa, Amazon Lex empowers developers to efficiently craft complex, natural language-based chatbots. With its capabilities, you can design bots that enhance productivity in contact centers, streamline straightforward tasks, and promote operational efficiency throughout the organization. Furthermore, as a fully managed service, Amazon Lex automatically scales to meet demand, freeing you from the complexities of infrastructure management and allowing you to focus on innovation. This seamless integration of capabilities makes Amazon Lex an attractive option for developers looking to enhance user interaction.
Description
Envision deploying a super agent at each customer interaction point to manage routine tasks, allowing your focus to remain on enhancing customer experiences. By automating customer service duties, you can provide 24/7 responses to your clientele without raising operational expenses. Integrating an additional agent at every customer channel can streamline simple inquiries, freeing up your team to tackle more complex challenges. Testimonials from our customers indicate that the Knovvu Virtual Agent can typically save around 5 full-time equivalent agent costs. With our proprietary Speech Recognition (SR) and Natural Language Understanding (NLU) technologies, Knovvu Virtual Agent accurately discerns customer intent and replies independently of live agents. Thanks to our leading-edge speech recognition accuracy, the Knovvu Virtual Agent efficiently handles basic tasks, enhances self-service options, and reduces costs associated with customer service operations. Moreover, this innovative approach not only optimizes resource allocation but also significantly improves overall customer satisfaction.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS Lambda
Amazon DynamoDB
Axon Ivy
BotCore
Dimension Labs
Facebook Messenger
HelpNow Agentic AI Platform
HubSpot CRM
HubSpot Customer Platform
Integrations
AWS App Mesh
AWS Lambda
Amazon DynamoDB
Axon Ivy
BotCore
Dimension Labs
Facebook Messenger
HelpNow Agentic AI Platform
HubSpot CRM
HubSpot Customer Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lex/
Vendor Details
Company Name
Sestek
Country
United Kingdom
Website
www.sestek.com/virtual-agent-knovvu
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
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant
Natural Language Generation
Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
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