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The AI discovery layer for modern commerce

An AI agent studying Tonita's glass-box search engine — its inner workings glowing inside a transparent cube — in front of a wall of product listings.
A glass-box engine: an AI that can reason about — and see inside — how it searches across millions of products
Tonita began with a belief

Shopping Search and Discovery
should be rebuilt from the ground up for the AI era

We’ve built an AI-native shopping search and discovery engine powered by the latest generation of language, vision, and code-generation models. As of Spring 2026, Tonita covers apparel and accessories from thousands of brands and millions of listings — helping shoppers discover products they would never find through traditional keyword search, filters, or endless product grids. Tonita is available on the Web and as an iOS app.

That means a shopper can ask for something vague, visual, contextual, or highly specific:

A polished travel outfit for LisbonA dress like this but more understatedJeans that work with ankle bootsShow me how this might look on me

Tonita translates each of these into intelligent search behavior across millions of products.

Under the hood

A glass-box engine, not a black box

Our technology stack combines large language models, code-generation models, visual understanding, semantic retrieval, product ranking, real-time catalog intelligence, and virtual try-on. Crucially, Tonita does not treat search as a black box; our AI has a glass-box view into the system, allowing it to reason about user intent, generate code-based search strategies, tune retrieval, adjust ranking logic, and orchestrate the full search pipeline to find better results.

The future of shopping

Not just conversational
It is agentic, visual, adaptive, and deeply personalized

Tonita is also built for that agentic future. Through MCP, Tonita makes its shopping search and discovery capabilities available to AI agents and LLM clients, turning commerce discovery into a tool that agents can call, reason over, and compose into larger workflows. For shoppers, this means a more natural and magical experience. For agents, it means a powerful commerce layer for discovering products, comparing alternatives, refining intent, and completing complex shopping tasks programmatically.

tonita · agent sessionconnected

can an agent shop with tonita?

Yes. An LLM client calls Tonita over MCP and gets back structured, inventory-grounded results it can reason over.

tonita · mcptool call

→ tonita-search

{ "query": "polished travel outfit for Lisbon" }

← 24 listings

[
  { "title": "Linen-Blend Camp Shirt", "price": "$95" },
  … +23 more
]
The team

Tonita’s founding team (Aravind, Raghul, Siva, Uma) brings together deep experience in search, discovery and personalization; machine learning and AI research; search advertising; and large-scale systems. We’re building the AI discovery layer for modern commerce — technical under the hood, magical on the surface, and designed for the way people, and agents, actually shop.

Questions, feedback, or just want to say hello? We’d love to hear from you at hello@tonita.co.

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