15+ Best Conversational AI Platforms | 2025

Conversational AI platforms are advancing the way businesses connect with customers, providing the tools to achieve a genuine one-on-one marketing feel. The market is expected to surge from $13.2 billion to $49.9 billion by 2030, enabling these platforms to transform customer service and business operations with precise, real-time solutions. 

To help you navigate the endless options, we've curated a list of the best conversational AI platforms on the market. Each platform is uniquely designed to enhance customer interactions and drive meaningful engagement.

What is a Conversational AI Platform?

A conversational AI platform enables the creation and management of AI systems that simulate human-like interactions through text or voice. These platforms utilize advanced machine learning, natural language processing, and data analysis to understand and respond to user inquiries in a context-aware manner.

Conversational AI vs Chatbots vs Generative AI

Conversational AI is designed to understand, process, and respond to human language, mimicking real conversations and improving through interaction. It relies on natural language processing (NLP) and dialogue systems to comprehend and engage in contextually relevant dialogue, primarily serving customer support and communication enhancements.‍

Chatbots, a subset of conversational AI, are typically designed for specific, rule-based tasks using simpler machine learning algorithms. They handle straightforward interactions but lack the depth to manage open-ended conversations like more advanced conversational AI.

Generative AI, on the other hand, represents a broader category that includes any AI capable of generating text, images, or other outputs based on training data. It excels in content creation, operating autonomously without direct human interaction. In short, conversational AI focuses on interactive dialogue, whereas generative AI showcases creative capabilities, generating independent content.

How Does Conversational AI Work? 

Conversational AI operates through a sophisticated interplay of technologies that enable it to simulate human-like dialogue. The process begins with natural language understanding (NLU), where the AI interprets the user's input to grasp context and intent. It then uses natural language generation (NLG) to formulate a coherent and contextually appropriate response. ‍

These systems rely heavily on machine learning to continuously improve their responses by learning from each interaction, enhancing their ability to handle diverse and complex conversations over time.

Best Conversational AI Software & Platforms

Let’s take a look at the best conversational AI software and platforms on the market today.

1. Tavus

Tavus is the best choice for developers looking to integrate lifelike, face-to-face conversation into their applications. Tavus puts developers first, with a straightforward Conversational Video Interface (CVI) API, making integration fast and reliable.

Tavus sets itself apart with CVI that sees, hears, and responds in real time—enabling human-like interactions with digital twins. You can quickly train a lifelike digital twin from a short, 2‑minute video or use a stock option, then generate videos or run live conversations at scale.

Tavus far exceeds traditional chatbots by adding visual and vocal nuance that fosters a more immersive, emotionally intelligent experience.

Key Features:

• Conversational Video Interface (CVI): Bring real-time, face-to-face, human-like interactions into any application
• Digital twins: Train a lifelike digital twin from a short 2‑minute video or use a stock option to launch fast
• Flexible customization options: Fine-tune behavior, tone, expressions, and language for your use case
• Phoenix‑3: Studio‑grade, real‑time full‑face animation with pixel‑perfect lip sync and identity preservation
• Multi‑language support: Create videos and hold conversations in 30+ languages
• Comprehensive developer tools: Developer‑friendly APIs and docs, plus capabilities like Knowledge Base (RAG), Memories, Objectives & Guardrails, function calling, transcripts/recordings, and bring‑your‑own LLM
• Privacy and security: Built for enterprise needs with rigorous safeguards for user data
• AI HD lip sync: Ensures on‑screen speech precisely matches audio for realistic interactions
• Dynamic video backgrounds: Customize backgrounds to match your brand and experience

Pricing:

• Free: $0
• Starter: $39/mo
• Growth: $375/mo
• Enterprise: Contact Tavus sales team for pricing

Deploy the Tavus CVI API today.‍

2. IBM Watsonx Assistant

IBM Watsonx Assistant is a conversational AI platform designed to handle customer care across various industries. It supports non-technical users with drag-and-drop conversation builders and pre-built templates. This platform allows users to have a customer service option when human agents are not available.

‍Key Features:

• Drag-and-drop conversation builders
• Pre-built templates
• Integration of Large Language Models (LLM)
• Natural Language Processing (NLP)
• Retrieval-Augmented Generation (RAG) for contextual and up-to-date responses

Pricing:

• Lite: free
• Plus: $140/mo
• ‍Enterprise: Contact IBM sales team for pricing

3. Boost.ai

Boost.ai offers a conversational AI platform for customer service and internal support. It’s engineered to provide round-the-clock customer support across various channels. With its natural language processing and understanding, Boost.ai can deliver context-aware interactions.

Key Features:

• No-code conversation builder
• Omnichannel support across web, mobile, and integrated systems
• Manages queries regardless of volume.
• NLU & NLP
• Integrates LLMs
• Multilingual support

Pricing:

Contact Boost.ai sales team for pricing.

4. Google Dialogflow

Google Dialogflow is a conversational AI platform that takes a state machine-based approach to agent design, offering explicit control over conversations. Dialogflow CX integrates with Google’s AI capabilities, including Large Language Models, to parse content, generate agent responses, and control conversation flow.

Key Features:

• Provides explicit control over the flow of conversations
• Integration with LLMs
• Offers services in multiple languages
• Omnichannel capabilities
• Analytics into agent performance and user interactions

‍Pricing: Pay-as-you-go

5. Yellow.ai

Yellow.ai offers a conversational AI platform designed to automate both customer and employee interactions across various channels. This platform supports real-time, multilingual communication by leveraging AI capabilities. Yellow.ai markets itself for large enterprises.

Key Features:

• Utilizes multiple LLMs
• Generative AI
• Omnichannel support
• Offers insights into interaction patterns and performance metrics
• No-code bot-building platform

Pricing:

• Free: $0
• Enterprise: Contact yellow.ai sales team or pricing

6. D-ID

D-ID enables conversational AI with digital humans. This platform combines D-ID's facial animation technology with speech and video, allowing users to engage with AI in a more human-like manner. D-ID is designed to create real-time conversations across various applications.

Key Features:

• Real-time video and voice chat
• Facial animation
• Generative AI API
• Multilingual support

Pricing:

• Trial: Free
• Build: $18/mo
• Launch: $50/mo
• Scale: $198/mo 
• Enterprise: Contact D-ID sales team or pricing

7. Amazon Lex

Amazon Lex provides a platform for building conversational interfaces into applications using voice and text. It leverages the same deep learning technologies that power Amazon Alexa, making it capable of understanding natural language. Amazon Lex offers the deployment of conversational bots for user experiences and business processes.

Key Features:

• Automatic Speech Recognition (ASR) and Text to Speech (TTS) Capabilities
• NLU
• Integration with various AWS services
• Support for multiple languages
• Scalability to manage enterprise-level demand

‍Pricing: Pay-as-you-go

8. Kore.ai

Kore.ai offers a conversational AI and generative AI platform that allows businesses to automate interactions across customer and employee touchpoints. With integration capabilities, Kore.ai enables the creation of virtual assistants that can operate across multiple channels.

‍Key Features:

• Virtual assistant builder
• Bot training
• Multichannel integration
• Analytics into user interactions
• Multi-layered security and compliance

Pricing:

• Standard: Pay-as-you-go
• ‍Enterprise: Contact Kore.ai team for pricing

9. OpenAI

The OpenAI platform can generate human-like text through its language models such as GPT-3 and GPT-4. These models are trained on a range of internet text and fine-tuned for various applications to generate context-aware responses. The platform is designed to facilitate integration into existing applications.

Key Features:

• Utilizes GPT-3 and GPT-4 for text generation that understands and generates human-like dialogue.
• GPT-4 can process both text and image inputs
• API access
• Built-in features to reduce harmful outputs and manage misuse potential

Pricing:

• Free: $0
• Plus: $20/mo
• Team: $25/mo per user
• Enterprise: Contact OpenAI team for pricing

10. Avaamo.ai

Avaamo.ai offers a conversational AI platform tailored for large enterprises, facilitating integration across various business processes and communication channels. It leverages AI technologies to deliver virtual assistants that handle customer, employee, and patient experiences.

‍Key Features:

• Virtual assistants
• Multilingual support
• Generative AI for contextually aware conversations
• Omnichannel deployment
• Ensures compliance with industry standards and protects data integrity.

Pricing: Contact Avaamo team for pricing

11. Oracle Digital Assistant

Oracle Digital Assistant provides an AI platform to create conversational interfaces for business applications, integrating advanced natural language processing to support complex and natural dialogues. This platform handles the development of digital assistants, offering tools to integrate with Oracle's suite of applications and supporting customization through advanced analytics and machine learning.

Key Features:

• NLP and machine learning
• Integration with Oracle applications
• Multi-channel accessibility
• Scalable build

‍Pricing: Starts at $0.02/Per request

12. Tars

Tars provides a conversational AI platform that is marketed for customer experience and employee productivity. Tars allows developers to ensure uninterrupted self-service access for users.

Key Features:

• Self-service access
• No-code chatbot builder
• Multichannel integration
• Offers insights into chatbot performance and user engagement.
• Customizable workflows

Pricing: 

• Free: $0
• Freelancer: $19/mo
• ‍Agency: $69/mo

13. Aisera

Aisera's Conversational AI platform is designed to automate and handle customer and employee experiences across various industries. It integrates advanced machine learning techniques, including natural language processing (NLP) and understanding (NLU), to provide intelligent and responsive virtual assistants. These assistants are capable of handling interactions in over 100 languages.

Key Features:

• Multi-domain and multilingual capabilities
• Integration with existing business platforms and workflows
• Insights into interaction data
• Live agent handover

‍Pricing: Contact Aisera team for pricing

14. LivePerson

LivePerson's Conversational Cloud® uses AI to facilitate customer interactions across various digital channels. This platform is designed to assist contact center operations by enhancing agent productivity and automating customer engagement.

‍Key Features:

• Customizable workspaces
• LLM-powered conversations
• Omnichannel engagement
• Conversational intelligence
• Scalable for enterprises

‍Pricing: Contact Liveperson team for pricing

15. Verint

Verint offers a conversational AI platform designed to handle customer service operations and experiences across multiple channels. It incorporates the Intent Discovery Bot, which utilizes AI to analyze engagement data—like call recordings, emails, chats, and support tickets—to identify what customers want and need.

‍Key Features:

• Low-code bot building
• Multichannel deployment
• Analytics into customer interactions and behaviors
• NLU

Pricing: Contact Verint team for pricing

Benefits of Conversational AI Platforms

Conversational AI is taking over for good reason. There are many benefits of this technology that businesses and developers can enjoy like: 

Boosts Efficiency 

By automating routine inquiries, conversational AI allows teams to focus on more complex tasks with their audience. This boost in efficiency speeds up response times and increases the throughput of customer service operations.

Reduces Time & Costs

Implementing AI-driven conversations cuts down on the need for extensive human customer support, reducing labor costs and decreasing the time spent on each customer interaction.

Personalizes Customer Interactions 

Conversational AI analyzes user data and previous interactions to tailor conversations, making each customer feel understood and valued. This personalization can significantly increase customer satisfaction and loyalty.

Optimizes Data Collection

These platforms can gather and analyze customer interaction data in real time, providing businesses with insights to refine marketing strategies and improve product offerings.

Improves Overall Customer Experience 

With the ability to understand and react to customer needs accurately, conversational AI enhances the overall quality of service, leading to higher customer retention and a better brand reputation.

Conversational AI Software Use Cases

Let’s take a look at how conversational AI plays out in the real world.

Product 

Conversational AI can streamline product onboarding by guiding new users through features with interactive tutorials. For example, a software company could use AI to demonstrate tool functionalities step-by-step, reducing the learning curve. These systems can also answer FAQs on the new products, ensuring that new users receive the most relevant information right when they need it.

Customer Service 

Conversational AI systems can offer 24/7 self-service or detect urgency in customer queries to route issues to the appropriate human agents. For instance, an AI system at an e-commerce company can handle common inquiries such as order tracking and returns, while immediately escalating complex concerns like payment issues to human specialists. This heavily reduces the amount of time it takes to respond to customers.

Sales & Marketing

In sales and marketing, conversational AI can analyze customer data to offer tailored promotions and product recommendations. For a real estate company, AI could send a follow-up message on listings based on a user’s browsing history and preferences, driving them toward a purchase decision or connecting to a sales rep. This proactive approach in digital marketing campaigns can significantly increase engagement rates.

Human Resources

Conversational AI can reduce HR admin workload by automating initial screening processes, where it asks candidates preliminary questions and gauges their suitability before scheduling interviews. Additionally, it can provide ongoing support by answering employee inquiries about benefits, holiday policies, and training opportunities. This quick response time ensures employees have ready access to essential HR information without delays.

More About Conversational AI Platforms 

Let’s take a look at some frequently asked questions about conversational AI platforms. 

Which platform is best for conversational AI?

Tavus is the best conversational AI platform for developers, thanks to its real-time CVI API that brings humanlike, face-to-face communication into any app. With Tavus, you can train a digital twin in minutes or use a stock option to deliver emotionally intelligent interactions that see, hear, and respond like people—at scale.

What is the difference between AI and conversational AI? 

AI, or artificial intelligence, encompasses a broad range of technologies that simulate human abilities like learning, adapting, and problem-solving.

Conversational AI specifically focuses on simulating human-like conversations, enabling dynamic interactions through text or voice.

Is ChatGPT a conversational AI?

Yes, ChatGPT is a type of conversational AI developed by OpenAI. It uses deep learning to generate human-like text responses based on the input it receives.

What is an example of conversational AI? 

An example of conversational AI is a customer service chatbot that can handle inquiries and provide support without human intervention.

Find the Best Conversational AI Platform 

The best conversational AI platform is Tavus, thanks to its innovative Conversational Video Interface (CVI) API and strong developer support. Tavus differentiates itself with unique, real-time video interactions that enable developers to make conversations not only smarter but also more human.

By integrating real-time video with conversational AI, developers can offer an unparalleled user experience that goes beyond traditional text-based interactions. Additionally, the exceptional support from the Tavus team ensures developers have the resources they need to succeed.

Discover how Tavus can elevate your customer service and transform your interactions.