Bliro
generalAI meeting assistant that records, transcribes, and summarizes calls
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.
AI meeting assistant that records, transcribes, and summarizes calls
Data layer for organizing unstructured text, PDFs, and images
No-code framework for building custom LLM agents
Chat with fictional characters and AI-driven companions
AI support agents for handling customer requests
Customer intelligence from feedback
Self-improving AI agent for support tickets
AI-driven customer service automation
AI clinical notes and treatment planning for therapists
Chatbots, voicebots, and omnichannel ticketing
Salon management with booking and POS
Community for AI-generated content and tools
Chat and roleplay with AI characters
Cold email with high deliverability
Custom AI assistants for customer support and automation
Cold email automation with AI follow-ups
AI contact center for calls, messages, and customer support
AI customer engagement platform with behavioral predictions
AI knowledge platform for contact centers
No-code builder for enterprise conversational AI agents
AI chatbot for conversation and creative writing
Personalized AI coaching for faster goal achievement
AI email delivery optimizer for better engagement
Email writing assistant (acquired by MailMaestro)
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.