InteraOne

InteraOne is a self-hostable customer support platform that puts AI agents and human agents in the same inbox. It's built for teams who want the capabilities of tools like Intercom or Zendesk without handing their customer data to a third-party cloud, and without stitching together separate tools for AI, ticketing, and live chat.

The core idea is a single AI brain that operates across every channel. Email, WhatsApp, Telegram, and an in-product chat widget all feed into one shared inbox. The AI handles replies, executes actions, and maintains context across conversations, contacts, and tickets. When a human needs to step in, they take over the live thread with full history intact, not a summary.

Key capabilities:

• Omnichannel inbox bringing email, WhatsApp, Telegram, and in-product support into one shared operation
• AI reply assistance with execution logs visible alongside live messages, routing decisions, and customer details
• Human handoff that preserves the full transcript, AI insights, tags, and customer profile when your team takes over
• Customer profiles tracking identity, sentiment, activity history, notes, and conversation records in one place
• Ticket management with status, priority, ownership, and tags from intake through resolution
• Support analytics covering conversations, resolutions, escalation rate, AI usage, and message volume
• QR codes and direct links so customers can reach your AI agent from packaging, campaigns, or help centers

On the infrastructure side, InteraOne runs as a complete Docker stack: API gateway, admin console, AI orchestration service, background workers, and the customer-facing agent. You control the data. AI workloads can route across OpenAI, Google, AWS Bedrock, and Hugging Face, with Qdrant handling retrieval-augmented generation for grounded, knowledge-backed responses.

Team management is built in. You can invite teammates, assign workspace roles, and route conversations before they hit the queue. Compared to alternatives like Chatwoot or Tiledesk, InteraOne's distinguishing angle is the tight integration between the AI layer and the human support workflow, with shared context flowing through every surface rather than AI sitting as a bolt-on feature.