Give customers a full AI shopping experience, with millisecond response times.

Liquid's customized, multimodal AI models power semantic search, on-site agents, and merchant copilots with nearly instant response times, so your sites convert more customers.

The challenge for online retailers

AI has the potential to transform how we discover, compare, and purchase online. But only if it actually improves the customer experience—without creating new vulnerabilities.

Retailers face four core challenges when adopting AI:

• Semantic search doesn't show what shoppers want.

When outdated keyword search meets natural-language or visual intent, the results are often disappointing—and disappointment costs sales.

• On-site agents can't guide the full purchase journey.

A chatbot that can't access discovery, checkout, and support is just a fancy-looking search bar that frustrates customers.

• AI costs scale faster than margins do.

Frontier models can eat up budget faster than they increase conversion rates.

• Cloud-based models send sensitive data to third parties.

Catalog data, credit card numbers, and customers' personal details are far more vulnerable when they enter the cloud.

Our solutions

Intent-native search & recommendations

Custom AI that understands natural language, image queries, and structured filters, then calls your APIs to surface the right products in real time. And it works across web, app, and chat.

On-site agents that can act, not just chat

Agentic SLMs wired into your storefront APIs (cart, checkout, subscriptions, order status) can do a lot more than answer FAQs. With these connections, your assistants can guide customers, configure pages, and complete the purchase journey.

Copilots for merchants & marketers

Trained on your analytics, campaigns, and catalog, custom brand-side SLMs can summarize performance, suggest actions to your team, and generate merchandising changes.

An online shopping experience that brings in-person levels of attention, personalization, and immediacy.

Liquid SLMs make it possible, without sacrificing security or driving up costs.

Contact sales

Case studies & news

Liquid AI Announces Multi‑Year Partnership with Shopify to Bring Sub‑20ms Foundation Models to Core Commerce Experiences
NOV 13, 2025

08.04 Models LFM2.5-2.6B: Deploy Agents Everywhere
AUG 4, 2026

06.30 Engineering IFStruct: Measuring structured-output compliance
JUN 30, 2026

06.18 Models LFM2.5 Retrievers: Bi-directional LFMs for Fast Multilingual Search
JUN 18, 2026

05.14 Case study Optimizing Vision-Language Models for Product Cataloging
MAY 14, 2026