Balakun is an AI agent for sales and support teams. It answers buying questions, recommends products, guides visitors to checkout, and captures qualified leads - grounded in your catalog and docs, not generic model improvisation
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Maker
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Hey!
We’re launching Balakun - an AI agent built to turn website conversations into revenue.
The problem we kept seeing: most AI chatbots on e-commerce and B2B sites are fluent but useless. They answer in generalities, can’t touch your catalog, and have zero business context. When a buyer asks “do you have this in size M under $400?” - they get a generic deflection.
Balakun is different:
∙ Answers are grounded in your actual catalog, docs, and business rules - not open model improvisation
∙ It guides buyers toward checkout, quote submission, or qualified handoff
∙ Connects to your CRM, OMS, basket, and mobile apps
∙ Includes admin analytics so you see exactly where sessions convert or drop off
∙ Enterprise controls: scoped keys, audit logs, redaction, role-based access
You can install it with a single HTML snippet and connect your first data source the same day.
We’d love your feedback - especially from anyone in e-commerce, sales ops, or conversational AI.
What do you look for in a buyer-facing agent?