Resolve requests instantly, cut down manual work, and boost team efficiency with tailored AI Agents.









Resolve requests in minutes, not hours
Use public & private docs to power instant, AI-driven responses



Integrate with systems like Jira, Zendesk, & HubSpot to automate tasks from Slack.

Auto-respond to queries using your knowledge base & past tickets

Ask AI to pull info across tools & KBs for faster issue resolution

Automate actions on Tickets using your connected tools

One-click ticket creation from Slack to your ticketing systems









































14-Day Free Trial

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ClearFeed’s AI Agents use latest AI models to analyze requests in Slack, automatically suggest responses from company knowledge sources and tools and resolve queries faster - even taking automated actions - improving efficiency for support teams.

ClearFeed combines natural language understanding of leading models from OpenAI/Anthropic and Google with integration to a wide variety of tools and knowledge bases. The AI Agents are integrated with helpdesk workflows, in-built ticketing and external ticketing integrations, and real-time collaboration tools, offering an all-in-one Slack support solution.

Yes, ClearFeed’s AI Agents works seamlessly with ticketing systems like Zendesk, Jira, ClickUp, Linear and Asana - syncing AI-suggested responses with external ticketing systems and creating tickets for human handoff. ClearFeed can also use KBs and user Guides from external systems like Zendesk, Intercom & Salesforce to answer questions on Slack.

Customer support teams, IT service desks, HR teams and any business using Slack to manage queries can benefit from ClearFeed’s AI-powered automation and efficiency.

It pulls from public documents, private knowledge bases in Notion, Google Drive, Confluence, SharePoint, and even tools like Okta, JumpCloud, AssetPanda, BambooHR etc - providing comprehensive answers that are contextually relevant.

Our custom indexing pipeline understands knowledge inside documents and stores in specialized Vector Databases. It is highly accurate, leveraging AI to match queries with relevant knowledge, and then using AI to craft accurate answers. Users can issue custom instructions to the AI Agent to fine-tune its behavior.