Rasa Chatbot

AI Chatbot Development with Rasa

We develop conversational AI chatbot for different platforms like Website, Slack, Facebook Messenger, Apple Business Chat and WhatsApp. Want to hire top Rasa developers, programmers, and consultants?

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Rasa Chatbot Development

We Develop and Integrate AI Chatbots On

Rasa Chatbot
Website

Website

Facebook Messenger

Facebook Messenger

Slack

Slack

Telegram

Telegram

Twilio

Twilio

Microsoft Bot Framework

Microsoft Bot Framework

RocketChat

RocketChat

Mattermost

Mattermost

Custom Connectors

Custom Connectors

Chatbot Development

Provide Better Customer Support With Rasa AI Chatbot

Do you get a lot of queries from your customers? A lot of questions? A lot of messages? Replying to each and every one of them takes time. For that, you need to hire a dedicated customer support team. Ultimately, it adds extra resources in your team to be paid. This is a problem.

What can be a possible solution? Create a conversational AI chatbot for your business. You only need to invest in it for once, but it works as your whole customer support team.

With the help of our experienced AI and Rasa developers, we create conversational AI chatbot (voice and text) for almost all businesses. You don’t have to worry about integrating it in your existing system either. We do it. We do integrate this AI chatbots in Website, Slack, Facebook Messenger, Apple Business Chat and WhatsApp.

Our AI developers have expertise in advanced natural language processing (Rasa NLU), machine learning, AI models, Deep Learning and rapid product design to develop AI-powered chatbots to automate all the messages.

Industries For Which We Develop Rasa AI Chatbot

eCommerce

With an AI chatbot for your eCommerce store, you can reach more customers and help them make better buying decisions. With Rasa AI chatbots for eCommerce business, you can

  • Add products to the cart
  • Automate general queries
  • Give suggestions
  • Send shipping updates
Rasa chatbot for eCommerce

Banking and Finance

In banking apps, AI chatbots can

  • Send live notifications about cash deposit or withdrawal
  • Provide credit card updates
  • Scheduling a payment
  • Exploring recent transactions
  • In the finance sector, AI-based conversational chatbot can
  • Send live updates about stocks
  • Give suggestions for investing
  • Share predictions or trends
Rasa chatbot for Banking and Finance

Education

In the education industry, Rasa AI chatbots for education can

  • Solve queries and doubts of the students
  • Aid students in completing their homework and for studying before exams
  • Act as a teaching assistant
  • Take care of mundane tasks for the teachers
Rasa chatbot for Education

Travel and Tourism

The travel and tourism industry can benefit from an AI chatbot that helps people travel to new destinations in a budget-friendly and comfortable way. It helps users to

  • Discover places to visit
  • Find out more about the city visiting
  • Contact authorities for help if stuck somewhere
  • Travel with ultimate comfort and at the best prices
Rasa chatbot for Travel and Tourism

Healthcare

In the healthcare industry, AI chatbots can

  • Make appointments
  • Schedule check-ups
  • Book lab tests
  • Set reminders for taking medicines
  • Doctors can get reminders for upcoming appointments or surgeries
Rasa chatbot for Healthcare

Hotel Industry

These AI chatbots for the hotel industry help customers to

  • Search for hotels
  • Make bookings and cancel or modify them
  • Know about the facilities around the hotel
  • Ask about the services that the hotel provides
Rasa chatbot for Hotel

Airline

For airlines, Rasa AI chatbot can

  • Send updates about cheap flight rates
  • Notify about the best time to book a flight
  • Provide in-detailed information about a passenger’s booking
  • Solve queries regarding allowed luggage, lost luggage, and choice of seats
Rasa chatbot for Airline

Fitness

The fitness industry can really benefit from an AI chatbot. The bot will be able to

  • Solve queries of the consumers
  • Help them keep track of diet, exercise and their sleep schedule
  • Trainers can use it for setting reminders and keeping track of their customers
Rasa chatbot for Fitness

Business

We can develop conversational AI-chatbot using Rasa for different businesses to manage their HR department and make team management easier. Rasa AI chatbot helps:

  • Handle complex conversations
  • Data privacy and security
  • Integrates with existing systems like SAP or Oracle
Rasa chatbot for Business

Skills of Our Rasa AI Chatbot Developers

  • Machine Learning

    Machine Learning

  • Natural Language Processing

    Natural Language Processing

  • Spacy

    Spacy

  • Backbone

    Backbone

  • Jest Yarn

    Jest Yarn

  • PyTorch

    PyTorch

  • Rasa NLU

    Rasa NLU

  • Python

    Python

  • MySQL

    SQL

  • Scala

    Scala

  • JavaScript

    JavaScript/Node

  • JSON

    JSON

  • MSSQL

    MSSQL

  • Cassandra

    Cassandra

  • MySQL

    MySQL

  • MariaDB

    MariaDB

  • Aws

    Aws

  • Azure

    Azure

How Rasa Chatbot Development Is Benefiting Businesses

Easy to integrate

Easy to integrate and customize

Being open-source, your AI chatbot can be developed with the features that you need and easily customized.

No state machine

No state machine

Developing AI assistants with Rasa is beneficial as it learns on its own, without adding new rules to the state machine.

Integrate into existing systems

Integrate into existing systems

Your Rasa AI assistant can be integrated into other existing systems to let you leverage backend systems, APIs. and RPA to allow fully automated processes.

Own your training data

Own your training data

You will have complete control over the data that we use to train your artificial intelligence assistant.

Run it on your favourites

Run it on your favourites

Want a Rasa AI chatbot on your premises? Or on the cloud? With Rasa, you can develop text and voice-based AI chatbots whichever infrastructure you prefer.

Supports various intents

Supports various intents

If you develop a chatbot using Rasa for your business, you can customize it according to your users’ intent. It supports single and multiple intents.

Interactive learning

Interactive learning

It is easy to generate training data by simply talking to the Rasa chatbot demo in the initial stages of development. If the chatbot makes an error, we can provide data to it and this model works as interactive learning for the chatbot.

Connect with other messaging apps

Connect with other messaging apps

Rasa chatbot framework allows you to create AI assistants that connect with other messaging apps like Facebook, Slack, Google Home and other custom channels.

Analytics

Analytics

Rasa open-source platform provides analytics for various types of data that lets you understand how the users are interacting with your AI chatbot assistant.

Multiple deployment environments

Multiple deployment environments

You can have multiple deployment environments for development, staging or production. It is also easy to roll out new updates for your conversational AI chatbots.

Single sign on for more security

Single sign-on for more security

You can authenticate multiple users through the single sign-on system via backend for added security.

Manage version and models

Manage version and models

Rasa chatbot architecture allows you to easily manage versions and models by giving you the power of rolling an update to production or even roll it back.

Role based access control

Role-based access control

You can assign roles to your team for backend access and customize these roles so they only get limited access. This will make sure that nobody messes with important data by mistake or intentionally.

Want to automate customer messages and save time? Want to create an AI conversational chatbot for your business?

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Rasa AI Chatbot Development Process We Follow At Space-O

1

Understanding requirements

In this step, we will need you to list down all your requirements for the Rasa chatbot. We will ask you questions like, what are your goals from the AI chatbot? What problems are you hoping to solve? These questions will help us understand what exactly you are looking for and aid us in taking the next step. The better we understand your requirements, the better we can deliver what you are expecting from us.

Understanding requirements
2

Determining messaging channel

We know that not every business is the same. As the business changes, so does the target audience. According to the target audience, we will need to understand the best messaging channel where most of your customers are present. This can make it easier for them to reach out to you. We will help you understand and determine the best messaging channel for your chatbot.

Determining messaging channel
3

Analyzing conversations for automation

Our team of AI experts and programmers will analyze the data and understand which use cases will be the best for your chatbot development. We will work to establish the automation roadmap and determine which parts of your conversations can be automated with Rasa AI. Most of the conversations with your customers can be automated but we will need to sort them out in order to train the chatbot with the responses. The better we train it, the more accurate it can be after deployment.

Analyzing conversations for automation
4

Training the Rasa chatbot

In this step, using Rasa NLU, we will finalize the intent of the conversations, and set certain goals of your Rasa AI chatbot. We will take the training data and classify it as per the requirements. After that, we will begin training the bot by feeding it data and constantly testing it. We will check what the bot replies and how it learns based on real-time conversations in our testing environment. We will ensure that we will work on all the intents and various conversations to provide you with a comprehensive chatbot.

Training the Rasa chatbot
5

QA testing

We want to make sure that there are no technical issues in your AI assistant. Hence, we will be conducting a thorough QA test throughout the project and final testing will be done once the entire project development has been completed. We will also be sending the final build with you to check it from your end. If you require any changes or have suggestions, we will work on those as well. We will ensure that everything is running smoothly so that there aren’t any issues in the deployment stage or after that.

QA testing
6

Deploying and Integrating the AI chatbot

This is the final stage of Rasa AI chatbot development process. We will be integrating your AI assistant with the messaging channels that we determined in the 2nd step and taking it to live. The bot will keep learning even after deployment by using the data that it collects from conversations with your customers. Hence, it will constantly keep improving. Moreover, we also provide 3-month technical support for free so we will work on the maintenance if you have any concerns.

Deploying and Integrating the AI chatbot

Why Should You Develop An AI Chatbot For Your Business?

Learn
Learn An AI chatbot will learn on the basis of the information. Means, it will learn from the customers, their messages, and what are the actions they take after each and every interaction.
Learn
Improve
Improve When you launch your AI assistant and people start interacting with it, it gathers and stores more data. Every day, it improves itself on the basis of new data collected.
Improve
Understand and analyze patterns
Understand and analyze patterns An artificial intelligence chatbot can replicate the intelligence of humans and understand patterns even if we have not provided the same. It will collect all the data from its past interactions, analyze and store it. If a similar pattern repeats in the future then it will be able to solve the query with ease.
Understand and analyze patterns
Decision making skills
Decision-making skills Although a regular chatbot does make decisions, its capabilities are rather limited. With an AI chat assistant, you will get broader decision-making skills.
Decision making skills
Improved customer service
Improved customer service Customer support can improve significantly with the help of automation and artificial intelligence. It allows you to solve queries on an immediate basis and provide the right solutions to your customers. As a result, customers will feel more valued and their loyalty towards your brand will increase.
Improved customer service
Better lead generation
Better lead generation With personalization, it becomes easier to lead a prospective customer through the buyer’s journey. Every lead can be nurtured well and you will be able to see higher conversion rates.
Better lead generation
Works for global markets
Works for global markets With an AI chatbot online 24/7, it becomes easier to solve the problems of your customers at any time of the day. This helps you reach global markets and increase your sales.
Works for global markets
Cost savings
Cost savings Implementing a fully functional AI chatbot is easier and saves you more money than setting up a whole team for customer support. Moreover, a chatbot allows your company to handle multiple customer queries at one time.
Cost savings
Consistent answers
Consistent answers If you hire 10 employees for customer support, there are chances that all 10 of them will give a different reply to the customers. This will lead to confusion and frustration on the customer’s side. With an AI chatbot for customer support, all the customers will get consistent answers and there will be no issues or errors.
Consistent answers
Reaching new customers
Reaching new customers You can integrate your AI Chatbot with other messaging channels such as Facebook, Slack, Google Home and more. This will help you reach new customers that you might not have reached otherwise.
Reaching new customers

Want to get an estimation for your Rasa AI chatbot project? Tell us your requirements and we will provide you with a quotation.

Get Free Estimation

Why You Should Choose Space-O As Your Rasa AI Chatbot Development Company?

Nondisclosure Agreement
Non-disclosure agreement
Experienced Rasa developers
Experienced Rasa developers
Expertise in Rasa
Expertise in ML, AI and Rasa NLU
Agile development process
Agile development process
Client approach
Client-centric approach
Flexible hiring models
Flexible hiring models
Clean and efficient coding
Clean and efficient coding
Single point of contact
Single point of contact

FAQs

I want to ensure that my idea and other data remain confidential. Do you have any process for the same?

Yes, we sign a nondisclosure agreement with all our clients to ensure protection and privacy of sensitive data and we will do the same with you to protect your idea.

Can I hire dedicated Rasa developers?

We offer various flexible hiring models for all our clients. You can hire a dedicated Rasa Core developers for your project or you can opt for hourly, monthly and yearly models too. We’ll suggest you a suitable hiring model once we know the scope of your project.

Do you follow coding standards? Which frameworks do you use?

Yes, our team of expert Rasa programmers follow standard coding rules and ensure that they are always up-to-date with all the latest technologies and trends in the community. As a leading conversational AI chatbot development company, we utilize all the features and functionalities of Rasa to develop the best AI chatbot for your business.

Can I contact you in my time zone?

Yes, of course. You will be given the contact details of a point-of-contact person for your project and you can schedule calls or meetings with them as per your comfortability.

How does conversational AI chatbot help my business more than customer service executives?

Messaging is becoming the preferred medium of conversation for many people. Owing to this, your business needs to catch up so that your connection with your customers does not break. With Rasa AI chatbots, it becomes easy for you to answer queries, sell new products, and more on messaging channels that are used by your customers on a regular basis.

Will there be any limit on the number of queries that the chatbot can handle in one day or at a time?

Not at all. The AI chatbot will be able to handle multiple enquiries at the same time and there will be no limit on the number of queries per day.

Will I get any support post-launch?

Yes, after integrating your AI chatbot into your system, our developers will assist you for 3-months, and we do not charge for it.

Client’s Testimonials

I was mostly happy with the high level of experience and professionalism of the various teams that worked on my project. Not only they clearly understood my exact technical requirements but even suggested better ways in doing them. The Communication tools that were used were excellent and easy. And finally and most importantly, the interaction, follow up and support from the top management was great. Space-O not delivered a high quality product but exceeded my expectations! I would definitely hire them again for future jobs!

Bashar Anabtawi
Bashar Anabtawi

I am really pleased with the prompt responses I got from Space-O. Inquiries were answered within a very short time and issues were fixed within 12 hours. The Space-O team kept open communication at every stage of the process. Working with them felt like a collaboration resulting in the creation of a platform we are more stan satisfied with. The team took our concept and successfully create the platform we have today. Rakesh and his team really have the clients vision as a priority.

Gideon Banahene
Gideon Banahene
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