Dialogflow (formerly Api.ai) is a chatbot building tool, designed to give users new ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI.
Dialogflow was acquired by Google in 2019.
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Voiceflow
Score 10.0 out of 10
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Voiceflow aims to empower conversational AI teams to design, prototype and build conversational assistants together, faster, and at scale. It is a collaborative platform for teams to design and build conversational assistants.
$60
per month per editor
Pricing
Google Cloud Dialogflow
Voiceflow
Editions & Modules
No answers on this topic
Pro
$60
per month 10k credits
Business
$150
per month 30k credits
Enterprise
Contact Sales
per year
Offerings
Pricing Offerings
Google Cloud Dialogflow
Voiceflow
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Discount available for annual billing on Pro and Business plans.
Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
For a design team, Voiceflow is a must to have skill. With all the features present and being constantly rolled out by Voiceflow team, the tool has become one of the core part of design systems. Additionally, the support team of Voiceflow is hard-working and dedicated to customer satisfaction which truly brings about a difference. For context, we have raised multiple bugs and asked for best practices and the prompt response of support team from Voiceflow has been instrumental in us using the tool more and more
Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
Voiceflow has become an integral part of our design eco-system, providing capabilities for both rapid design and prototyping as well as testing with users. Additionally, the easy API integration has also allowed to create test automations using Gen AI
Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
