Conva.AI

Conva.AI

Slang Labs
Dialogflow

Dialogflow

Google
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About

The Slang In-App Voice Assistant is a multilingual overlay on top of your existing app, that enables your users to talk to it in multiple languages and for the app to talk back to them in the same language. VAaaS voice assistant drastically simplifies the process of adding a Voice Assistant to your existing mobile & web apps. Low-code platform that enables adding Slang In-App Voice Assistant into apps from specific domains that the Assistant already supports. For domains that is not currently supported out of the box by Slang, you can use this hyper-flexible programmable platform. Understands and talks back in 5 languages including mixed mode. Automatically translates everything to English, so that your app’s frontend and backend can continue to be in English. Slang’s unique low-code approach make it super easy to integrate it to your app. Supports multiple platforms and frameworks and all with a consistent integration model.

About

Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations and individuals in need of a low-code multilingual voice assistant for their mobile and web applications

Audience

Businesses and developers interested in a comprehensive platform for developing chatbots, voice bots, and virtual agents using natural language understanding

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

New customers receive a $600 credit for a no charge trial of Dialogflow CX that can be cancelled at any time. This credit activates automatically upon using Dialogflow CX for the first time and expires after 12 months. This is a Dialogflow-specific extension of the Google Cloud no charge trial.

Dialogflow also offers pay as you go plans.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 4.5 / 5
ease 4.5 / 5
features 4.2 / 5
design 4.2 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • It easily integrates with Google assistant and Facebook messenger to simplify communication and keep clients engaged.
  • Easy to use and learn. Great stability and great functions. Cost-effective compared to most of the competition.
  • Dialogflow has a user-friendly interface, making it easy for both developers and non-developers to create chatbots and conversational agents without requiring extensive coding skills. The drag-and-drop functionality, combined with pre-built templates, allows for quick setup. Its integration with Google Cloud provides seamless access to the Google ecosystem, enabling easy deployment across various platforms like Firebase and Google Assistant. Dialogflow also excels in its natural language processing (NLP) capabilities, allowing bots to handle complex queries and natural conversation flows in multiple languages. The platform offers a rich set of features like intents, entities, and contexts, which provides the flexibility to build dynamic and personalized chatbot experiences. Additionally, its cross-platform deployment capabilities ensure that chatbots can be deployed on multiple channels, including websites, mobile apps, and social media platforms.
  • Dialogflow has exceptional AI and natural language processing capabilities, making it an indispensable tool in modern customer service. The user interface is highly intuitive, enabling the creation of sophisticated conversational experiences with relative ease. Its seamless integration across various platforms — from websites to mobile applications — ensures a consistent and engaging user experience. The analytics and insights provided by Dialogflow are particularly impressive, offering deep and actionable insights into customer interactions. This feature allows businesses to tailor their strategies for maximum impact and efficiency.

Cons

  • I don't find any dislike with it but it has good support.
  • Modern features like custom themes and AI are needed.
  • Has a learning curve.
  • While Dialogflow is a powerhouse, it does have minor areas that could be seen as drawbacks, though they are far from dealbreakers. The initial setup might require a bit of a learning curve, which is typical for such advanced platforms. However, this is a one-time investment in time that pays off generously in the long run. Also, the AI and machine learning components, while sophisticated, do benefit from occasional tuning to handle highly specific queries, which is expected given the complexities of human language. As for the cost, it is commensurate with the high value it offers, and most businesses find the ROI to be well worth it.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Slang Labs
Founded: 2017
India
www.slanglabs.in/

Company Information

Google
Founded: 1998
United States
cloud.google.com/dialogflow

Alternatives

Alternatives

Rep AI

Rep AI

Rep
Tisane

Tisane

Tisane Labs
Amazon Lex

Amazon Lex

Amazon

Categories

AI Assistants Supported
Voice Bot Supported

Categories

Artificial Intelligence Features

Chatbot Supported
For eCommerce Supported
For Healthcare Supported
For Sales Supported
Image Recognition Not Supported
Machine Learning Not Supported
Multi-Language Supported
Natural Language Processing Supported
Predictive Analytics Supported
Process/Workflow Automation Supported
Rules-Based Automation Supported
Virtual Personal Assistant (VPA) Supported

Chatbot Features

Call to Action Supported
Context and Coherence Supported
Human Takeover Supported
Inline Media / Videos Supported
Machine Learning Supported
Natural Language Processing Supported
Payment Integration Not Supported
Prediction Supported
Ready-made Templates Supported
Reporting / Analytics Supported
Sentiment Analysis Supported
Social Media Integration Not Supported

Conversational AI Features

Code-free Development Supported
Contextual Guidance Supported
For Developers Supported
Intent Recognition Supported
Multi-Languages Supported
Omni-Channel Supported
On-Screen Chats Supported
Pre-configured Bot Supported
Reusable Components Supported
Sentiment Analysis Supported
Speech Recognition Supported
Speech Synthesis Supported
Virtual Assistant Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Supported
Visualization Supported

Natural Language Processing Features

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

Integrations

AutoResponder Not Supported
BotCore Not Supported
Chatterbox Not Supported
Chatwoot Not Supported
CodeBaby Not Supported
Cognigy.AI Not Supported
Dialpad Connect Not Supported
Five9 Not Supported
Ideta Not Supported
Infobip Not Supported
Inworld Not Supported
NiCE CXone Mpower Not Supported
Resolve Not Supported
SilFer Bots Not Supported
Slaask Not Supported
Smart IVR Not Supported
Tiledesk Not Supported
WPBot Not Supported
Zulip Not Supported
respond.io Not Supported

Integrations

AutoResponder Supported
BotCore Supported
Chatterbox Supported
Chatwoot Supported
CodeBaby Supported
Cognigy.AI Supported
Dialpad Connect Supported
Five9 Supported
Ideta Supported
Infobip Supported
Inworld Supported
NiCE CXone Mpower Supported
Resolve Supported
SilFer Bots Supported
Slaask Supported
Smart IVR Supported
Tiledesk Supported
WPBot Supported
Zulip Supported
respond.io Supported
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