Closevibe: AI that answers your customers on WhatsApp, Instagram, Messenger and email

Online shops lose sales in conversations: a question about sizes on Instagram at 11 pm, an order status on WhatsApp during a sales peak, an email nobody answers until Monday. Closevibe is the company I co-founded to fix that, and where I'm CTO.

#What it does

Closevibe automates sales and customer-service conversations for e-commerce businesses across the channels their customers already use: WhatsApp, Instagram, Messenger and email. It answers with the shop's own knowledge, detects what the customer wants and keeps the conversation going in real time.

You can see it working on this site: the chat assistant in the corner is powered by Closevibe.

#How it's built

I architected the platform from scratch. The pieces that matter most:

• Multi-tenant from day one. Every shop's data, knowledge and conversations are isolated.
• RAG-based agents. Answers are grounded in each business's own content, retrieved with semantic vector search on PostgreSQL with pgvector, instead of relying on what a model happens to remember.
• Intent detection and real-time orchestration, so the system knows whether it's facing a pre-sale question, an order issue or something a human should take over.
• Channel integrations through the Meta Business APIs (WhatsApp, Instagram, Messenger) and email.
• The stack: Python and FastAPI, React, PostgreSQL with pgvector, Docker on GCP and Railway.

#What I learned building it

The model is the easy part. The hard parts are the boring ones: getting the right context into each answer, knowing when not to answer, handing over to a person cleanly and making every channel behave the same despite each API having its own rules. That's where most of our engineering time goes, and it's what makes the difference between a demo and something a shop trusts with its customers.

#Try it

If you sell online and your team spends its day answering the same questions, take a look.