Resemble AI
generalEnterprise voice AI with deepfake detection and compliance
AI chat tools include chatbots, conversational assistants, and platforms for building and deploying chat-based AI experiences. With 955 tools, this is one of the largest categories in the directory, covering everything from customer service bots to personal AI companions and sales coaching systems.
Enterprise voice AI with deepfake detection and compliance
Calendar automation for tasks, habits, and breaks
Secure, scalable AI agents for customer conversations
Cold email and lead generation tool
Omnichannel customer support automation
AI-powered tool for faster, more accurate typing
Chat with GPT-4 and other AI models for free
Automatic meeting summaries and notes
Use ChatGPT on WhatsApp for chat, images, and documents
Chat with historical figures and custom AI characters
Practice interviews with AI feedback
Shopify chatbot for customer support
Interview preparation using the STAR method
Performance marketing and ad optimization
Query your codebase using plain language
AI-driven career planning and skill development
Interview analysis and candidate assessment
Automate customer support responses and FAQ handling
Chat with AI experts across different fields
AI personalization for cold outreach and LinkedIn messages
AI-powered personalized travel itineraries
No-code chatbot builder for websites and messaging apps
AI chatbot with conversation memory
No-code chatbot builder
The breadth here is significant. On one end are end-user chat applications where you interact with an AI directly, like CogBias AI or Eloquens AI. On the other are platforms like Markprompt that let you build custom chat interfaces on top of your own documentation or knowledge base. Sales-specific tools like Salesably and Triple Session focus on coaching and call analysis rather than open-ended conversation. Customer support tools like Watchdog.chat and AIPEX are deployed externally, handling queries on behalf of a business. When evaluating, the key question is whether you need a ready-made chat product or infrastructure to build your own. For the latter, the quality of the RAG pipeline, latency, and customization options matter most. For end-user products, context retention across sessions and instruction-following quality are the main differentiators. Pricing varies from free tiers to per-conversation billing.