Fin by Intercom
supportAI support agent built into the Intercom helpdesk
chat 17
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.
Superhuman
generalAI productivity suite for email and work
Tactiq
generalLive meeting transcription and instant summaries
Resemble AI
generalEnterprise voice AI with deepfake detection and compliance
Reclaim
generalCalendar automation for tasks, habits, and breaks
Octocom
generalCustomer support for e-commerce in 100+ languages
Grain AI
generalGenerate meeting summaries and action items
Smartlead
generalCold email and lead generation tool
Kommunicate
generalOmnichannel customer support automation
Gleap
generalCustomer support with AI and live chat
Zigpoll
generalCustomer feedback and survey tool
Faraday
generalProvide customer context to AI agents via API or UI
JustCall
generalAI phone and SMS platform for sales and support
eesel AI
generalCustomer support agents that live in your apps
GoLinks®
generalAI-powered short links for team information sharing
MaxAI
generalSummarize, search, and write using multiple AI models
Quickchat AI
generalCustom multilingual AI assistants for customer service
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.