What we’re building, and why.

Why Tendari

For most stores, customer support and product recommendation are two different jobs done by two different systems. The chatbot resolves the ticket. The merchandiser, or a recommendation widget, suggests what to buy next. The customer feels the seam.

We thought the seam was the interesting part. So we built one agent that does both, in the same chat, with the same memory of the conversation it’s in. No handoff. No second system pretending to be the first.

What we mean by “the agent”

Not a chatbot off the shelf. Not a generic LLM with a system prompt. An agent built around yourstore — your catalogue, your support history, the way you actually talk to customers, the recommendations you’d make if you were behind the counter yourself.

It does two jobs in one conversation:

• Tends to questions. Answers support tickets in your voice, escalates to a human when it should.
• Tends to choices.Recommends the right product when the customer is unsure — without forcing the bestseller on someone who’d be happier with something else.

Where we are right now

We’re new. To be precise:

• Three stores are piloting Tendari with us in closed sandboxes.
• Web chat and Facebook Messenger are the two channels that work today.
• The product is not generally available. Pricing is not public yet.
• We haven’t run this for very large catalogues yet, and we’ll say so when you ask.

We’d rather be honest about all of that than pretend otherwise. If you’re a store thinking about an early pilot, that’s good — it means we can build something that fits, instead of dropping you into whatever everyone else gets.

Who we are

A small founding team with a background in shipping AI products and ecommerce platforms. Want to talk? Email hello@tendari.ai — it goes to a real person, usually replied to the same day.