IteroChat is an AI customer support chatbot software product from Iterosys. It is built to answer customer questions from a business’s knowledge base, return replies in seconds, and hand more difficult cases to a team with a briefing attached. The product text describes it as a multilingual support tool that can reply in whatever language customers write, including Bangla, English, and Banglish.
The setup flow centers on importing existing support content and then embedding the chatbot on a site or CMS. IteroChat says it can automatically crawl a knowledge base, documentation, FAQs, and website pages, then let the user test the AI in a private playground before going live. It also offers custom instructions for tone, safety guardrails, and language-handling rules, along with widget customization such as theme colors, launcher placement, and bottom or side offsets. The page also describes analytics insights and a live chat escalation queue, and it shows a support handoff flow in which agents receive AI summaries and claim live chat history.
Delivery is web-based, with references to a live demo, a setup flow, analytics, pricing, docs, and blog pages. The site also names a WordPress plugin, an embed snippet, and an API. The onboarding sequence is described as taking about three minutes and says no credit card is required for the 14-day free trial. The product is labeled Beta and is identified on the page as “IteroChat by Iterosys,” a product of Iterosys.
In the Business & Operations space, IteroChat takes a focused approach. It focuses on providing instant, AI-powered customer support and live chat on WordPress sites without coding. It is built as a B2B product for website owners and customer support teams. There is a free tier, and paid plans start at $19. It ships for the web and embeddable surfaces.
IteroChat builds and maintains IteroChat, and it first shipped in 2026. Key capabilities include AI chat widget, live chat, and knowledge base integration. The interface is available in English and Basque.
Summary written by a language model from the project’s public pages.
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