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Ready to save time finding the best conversational AI platform for your business? This article highlights the top AI conversational software on the market and helps you choose the perfect one for your needs.

But why this list?

Conversational AI chatbots are transforming the way businesses interact with consumers. They resolve most customer queries without human intervention.

These platforms allow anyone to create AI chatbots without coding. They come with pre-trained models that can be used to create customized virtual assistants.

What is a Conversational AI Platform?

Conversational AI is a type of artificial intelligence that simulates human-like conversations. It allows machines to understand, process, and respond naturally, like humans.

A conversational AI platform is specialized software that lets you create AI-powered tools like chatbots, virtual assistants, and voice bots. These tools enable 24×7 customer support and improve customer satisfaction rates.

With the rise of Gen AI and large language models (LLMs), conversational AI platforms have become even more powerful. They can now make bots that understand the user’s intent and react accordingly, taking customer experience to new heights.

How Does a Conversational AI Work?

Natural language processing, natural language generation, and machine learning are the core components of conversational AI. They work together to understand inputs, process the intent, and generate a response.

Here’s an overview of how these components work together:

Natural language processing – Understand inputs and identify intent
Natural language generation – Prepare a response to input based on existing knowledge
Machine learning – Enable self-learning to optimize the model for better responses

Modern conversational AI platforms can understand and process inputs and generate responses within milliseconds. They work on a constant feedback loop that improves their accuracy and performance over time.

How to Choose the Best Conversational AI Platform?

While conversational AI can automate customer interactions and improve consumer experiences, selecting the right platform can be crucial for your business.

Here, we explore key factors when picking an AI conversational platform.

» Business Objectives

Set your business objectives clearly and choose a platform with suitable features for meeting them.

For example, choose a platform that offers auto-translations in multiple languages if you’re focusing on internationalization.

Choose software that offers customization options for multiple devices if you want to improve your customer experience across browsers and devices.

» No Code vs. Low Code

Some conversational AI platforms are complete no-code solutions, meaning you don’t need to write a single line of code to deploy chatbots. Low-code platforms, on the other hand, require coding to implement business logic or advanced customization.

No-code solutions are suitable for non-technical users but less flexible than low-code AI platforms.
Assess Pre-trained AI Model
Each AI software uses a model (in simpler terms, the brain of AI) at its core, which is pre-trained using large datasets. The accuracy and reliability of this model depends on the size and type of data is was trained on.

Therefore, choose an AI tool trained using your industry-specific data. This way, it will work with your business with minimal training and fine-tuning.

» Compatibility & Integrations

The conversational AI platform should integrate into your existing ecosystem, such as CRM and other customer support tools.

In addition to this, the AI chatbot should integrate with other communication channels like Teams, WhatsApp, and Slack.

» Data Security

Conversational AI solutions deal with both customer and business data. They store customer responses and learn from them to enhance future interactions. Moreover, business data is stored and processed to resolve customer queries effectively.

Therefore, it’s important to check the platform’s security offerings before incorporating it into your systems.

Evaluate the vendor’s data privacy policies and compliance with industry regulations like GDPR, HIPAA, and CCPA. It’s also worth checking the platform’s history for any data breaches.

Top Conversational AI Software

The below table provides a quick comparison of the top conversational AI platforms.

Conversational AI Platform  Top Features 
Exotel AI Chatbot
  • Input your data into the tool and extract the necessary info
  • Natural and empathetic goal-driven conversations
IBM watsonx Assistant
  • Pre-built connections with a wide array of external channels
  • Customizable AI voice chatbot tone
Cognigy.ai
  • Seamlessly integrates with existing systems
  • Supports over 100 languages
Amazon Lex
  • Natively integrates with AWS Lambda for data validation and retrieval
  • Supports an 8 kHz Telephony Audio
Boost.ai
  • Self-learning AI
  • Well-developed e-learning material
Kore.ai
  • Virtual assistants for both customers and employees
  • Powerful visualization and analytics tools
Yellow.ai
  • Supports 150+ languages
  • Get helpful insights and analytics
Avaamo.ai
  • Seamless transition among voice, chat, and text
  • Enterprise-grade security and compliance

 

Let’s cover each platform in detail.

1. Exotel AI Chatbot

Exotel offers AI-powered chatbot solutions that help you complete business goals with human-like interactions. It can be easily deployed on various platforms through native integrations or using APIs. You can use this Gen AI solution to build both rule-based and goal-driven chatbots.

It’s suitable for business scenarios like customer support, sales, collections, and appointments.

Further, its advanced features like semantic search, document analysis, and goal tracking, make it the best conversational AI chatbot. You can also use your own data to build a bot.

Key features:

→ Highly accurate query intent identification and response generation

→ Third-party integrations to send automated emails, schedule appointments, process transactions, and more

→ Users can input specific data into the bot and query it to extract information

→ Create both rule-based and context-based conversations

Pricing:
Pricing available upon request.

What do users think: Users love its easy-to-use interface. They can set up the call and dialogue flows in minutes and customize them to advanced levels using its simple GUI. (Source)

2. IBM watsonx Assistant

IBM watsonx assistant lets you create next-gen AI agents that deliver consistent and intelligent customer care without human agents involvement. Using its drag-and-drop functionality and pre-defined templates, anyone can quickly build custom AI applications.

The platform leverages advanced AI capabilities like large language models, intelligent context gathering, large speech models, and natural language processing, enabling the creation of AI assistants for specific business use cases.

Key features:

→ Build AI assistants through an intuitive interface without coding

→ Supports creating both web chat and a voice assistant over the phone

→ Integrates with popular messaging apps, search tools, CRM software, and more

→ It complies with major data governance policies such as European Union GDPR, SOC 2, ISO 27001, 27017, and 27018

Pricing:
Enterprise plan pricing is available upon request

What do users think: Users praise its ability to train itself on millions of interactions. It matches the near-human interactions and has better ROI. (Source)

Ubers triumph in enhancing connectivity for 2 Million daily calls powering uninterrupted journeys with Exotel

3. Cognigy.ai

Trusted by over 1000 brands, Cognigy is a robust solution for developing and deploying conversational AI experiences without coding.

The platform seamlessly integrates with existing backend systems, allowing you to design business-specific AI assistants. It offers conversational AI over both text and calls in 100+ languages with real-time translation capabilities.

In addition to the no-code solution, the platform also offers a built-in IDE for advanced users to code a customized conversational AI project or extend the existing one.

Key features:

→ Build conversational flows once and deploy across channels like chat, phone, and web

→ Built-in KPI dashboards and analytics to get insights into conversations

→ Intelligent call routing to the right agent based on the customer’s history and chat intent

→ Includes pre-trained AI workforce for common enterprise operations

→ REST API is available to access the platform from anywhere

Pricing:
30-day free trial available. Contact their Help center for pricing details.

What do users think: Users find Cognigy easy to use, quick to learn, and fast to build virtual AI solutions. They appreciate its numerous out-of-box integrations and fantastic analytics tools for managing efficient virtual assistants. (Source)

4. Amazon Lex

Lex is based on the same conversational AI engine used by Amazon Alexa. The platform uses advanced NLP and ASR technologies to automate engaging voice and text-based interactions with customers.

Amazon Lex has an intuitive console that lets you build, test, and deploy chatbots without any prior experience. It’s a fully managed service, so you don’t need to worry about infrastructure. It automatically scales with your business.

For advanced customization, you can code complex logic into chatbots with the help of AWS Lambda integration.

Key features:

→ Integrates with other AWS services such as Amazon Cognito, AWS Lambda, Amazon CloudWatch, and AWS Mobile Hub

→ Its intuitive console guides you through the process of creating bots

→ Streaming conversation APIs to handle smooth interruptions during conversations

→ Cost-effective pay-as-you-go pricing model

→ Scalable solution to meet your business needs without any infrastructure constraints

Pricing:

Based on the number of voice and text requests, $0.004 per speech request and $0.00075 per text request.

What do users think: Users like its easy integration with AWS services like S3 and DynamoDB. The tool’s advanced natural language understanding and speech recognition capabilities, inherited from Alexa, have also attracted many users. (Source)

5. Boost.ai

Boost.ai is a conversational AI platform that lets you build virtual agents to automate and improve customer experiences. It has an intuitive user interface, which is quite similar to that of Slack.

In critical situations, it intelligently routes the conversation to human agents and learns from how they solve the case. This self-learning AI helps the bot get better over time.

Key features:

→ Very easy-to-use Slack-like interface

→ Continuous learning through self-learning AI

→ Update your virtual agent anytime with its simple training editor

→ Monitor feedback, chat quality, resolution rates, and more through a single dashboard

→ The tool’s conversational filtering, quality rating, and tagging capabilities provide you with detailed conversational analytics

Pricing:
Custom pricing is available on request

What do users think: Customers appreciate the tool’s support team efforts in helping them resolve issues and providing guidance. Users also praise the company’s attitude of taking feedback into consideration and deploying releases at short intervals. (Source)

6. Kore.ai

Kore.ai employs a Virtual Assistant (IVA) builder named XO to create AI bots specific to your business. You can input fine-tuned models into XO to build customized models for specific conversations.

This conversational AI platform software offers over 400 pre-made templates that you can customize and build assistants without writing a single line of code.

Kore.ai has a tool called Search AI that addresses customer and employee queries. It understands the questions and responds using industry-specific data.

Key features:

→ Integrates with over 45 channels across enterprise and social messaging platforms

→ Supports over 135 languages with auto language detection and translation features

→ Offers detailed dashboards to get insights into historical conversations

Pricing: Pay-as-you-go model with $0.20 per session for the standard plan. Enterprise plan pricing is available upon request.

What do users think: Users are happy with Kore.ai’s initial templates, which make it easy for beginners to develop bots. (Source)

Transform the way you engage with your customers

7. Yellow.ai

Yellow.ai is another of the best conversational AI platforms that delivers instant and accurate responses to your customers.

It uses a dynamic automation platform (DAP) engine, trained on billions of conversations, which enables the model to categorize new conversations. This technique archives incredible intent accuracy rates and reduces time training NLP models.

Yellow.ai automates customer interactions across multiple languages and channels. It also includes insights and analytics tools to analyze customer behavior and satisfaction rates.

Key features:

→ Popular templates for SaaS, banking, payments, and E-commerce industries

→ 100+ out-of-box integrations with industry-leading platforms

→ You can search images, hand-written notes, receipts, etc., with a native OCR parser

→ Over 20 pre-made report templates and custom dashboard support

Pricing:
Custom quotation is available upon request
Free trial available

What do users think: Users appreciate the AI technology for its prompt and accurate responses. Many users also found the drag-and-drop functionality and extensive analytics useful. (Source)

8. Avaamo.ai

The Avaamo AI conversational platform contains the tools you need to create intelligent virtual assistants. The bots can speak 29 languages and can be deployed on all major platforms and devices.

Avaamo’s NLU engine is built on sparse data-based technology, which lets you create bots with minimal training. The platform offers goal-driven conversations, meaning the model predicts the user’s end goal and then takes them through the appropriate intent-based conversation.

Key features:

→ Dynamically transfer the dialogue flow from one intent to another based on the user input

→ Pre-built templates for use cases like ‘reset password,’ ‘finding a doctor,’ and ‘software provisioning’.

→ Custom brand voices for your voice assistants

Pricing:
Custom quotation is available upon request

What do users think: The user says Avaamo is a complete platform for bot building. Its excellent UI makes it easy for anyone to develop a conversational flow. Avaamo bots also ensure a seamless experience while routing the customer to a human agent. Know more users’ opinions here.

Investing in a good conversational AI platform is important to improve customer engagement and experience. These platforms provide 24*7 customer support, automated dialogue flows, and responses based on human intent and emotion.

Exotel AI is one of the best conversational AI platforms you can use to transform customer interactions. It is super-intelligent in recognizing intent and providing goal-driven responses. To learn more about how Exotel can help your business, book a personalized demo with our experts.

FAQs

1. What’s the Best Conversational AI?
The best conversational AI software supports numerous global languages and multiple channels and provides accurate and intent-based responses—all at reasonable prices.

2. Is ChatGPT a Conversational AI?
ChatGPT is a language model capable of providing human-like engagement, but it’s not pure conversational AI.

Shambhavi Sinha

Shambhavi Sinha is an SEO expert at Exotel with a passion for writing about technology. With a keen interest in the latest trends in contact centers and artificial intelligence, Shambhavi aims to empower users by sharing insightful and up-to-date knowledge. Her expertise in SEO and her dedication to educating her audience make her a valuable resource for anyone looking to stay informed about the evolving landscape of tech in customer service and beyond.

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