The AI discovery layer for modern commerce

This mission has guided our development of an AI-native search and discovery engine powered by the latest generation of language, vision, and code-generation models. As of spring 2026, our search innovations power the Tonita web and iOS apps, with a catalog spanning 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.

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

Tonita translates these intents and guides the shopper journey with intelligent search behavior across millions of products.

Tonita’s glass-box architecture gives the AI transparent access to the underlying search services that power discovery. Rather than consuming the default output of a black-box search engine, the LLM can reason over user intent, generate code-based search strategies, tune retrieval, adjust ranking logic, and orchestrate the full search pipeline to deliver better results. The commerce-optimized stack combines large language models, code-generation models, visual understanding, semantic retrieval, product ranking, real-time catalog intelligence, and virtual try-on.

Tonita is also built for that agentic future. Through MCP, Tonita makes its search and discovery capabilities available to AI agents and LLM clients. This turns 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.

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

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

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 are building the AI discovery layer for modern commerce — technical under the hood, magical on the surface, and designed for the way humans — and agents — actually shop.