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ease
features
design
support

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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

Dasha is a platform offering conversational AI as a service that enables the integration of lifelike voice and text interactions into various applications or products. By utilizing a straightforward integration process, developers can create intelligent conversational applications for multiple platforms, including web, desktop, mobile, IoT devices, and call centers. The platform features DashaScript, an event-driven declarative programming language designed to facilitate the creation of complex dialogues that can effectively pass a limited Turing test. This technology allows for the automation of call center interactions, the replication of the Google Duplex demo with fewer than 400 lines of code, or the development of user-friendly no-code graphical interfaces that translate into DashaScript. Any device with internet connectivity and access to a microphone or speaker is capable of running a Dasha application. Developers can leverage their existing infrastructure, such as databases and external services like Airtable, Zendesk, and TalkDesk, to enhance their voice and chat applications. Conversations can be executed across various platforms, and custom data can be incorporated into Dasha, allowing users to obtain results that deliver maximum value in their specific contexts. This flexibility ensures that Dasha remains a powerful tool for businesses looking to improve their conversational AI capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Slack
Zendesk
AWS AI Services
AWS Lambda
Airtable
Amazon Web Services (AWS)
BotCore
Drift
HubSpot CRM
HubSpot Customer Platform
Intercom
Node.js
Python
QuickBooks Online Advanced
Salesforce
Smart IVR
Stackreaction
UneeQ
WhatsApp
XCALLY

Integrations

Slack
Zendesk
AWS AI Services
AWS Lambda
Airtable
Amazon Web Services (AWS)
BotCore
Drift
HubSpot CRM
HubSpot Customer Platform
Intercom
Node.js
Python
QuickBooks Online Advanced
Salesforce
Smart IVR
Stackreaction
UneeQ
WhatsApp
XCALLY

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

Dasha

Country

United States

Website

dasha.ai/en-us

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

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

Alternatives

Alternatives

Dialogflow Reviews

Dialogflow

Google
Dialogflow Reviews

Dialogflow

Google