White-label. Catalog-grounded. Built on proprietary grocery data infrastructure, not a GPT wrapper.
Remi is an end-to-end guided shopping experience embedded in your e-commerce storefront. Shoppers design fully custom meal plans around their household, budget, tastes, and nutrition targets, then Remi selects the optimal products for their cart. Every decision is made with your real catalog: actual prices, inventory, and product data.
Shoppers design a fully custom meal plan with AI, built from scratch around their household size, budget, dietary needs, calorie and protein targets, and cooking style. No templates, no preset plans.
Remi selects the optimal SKUs from your catalog for every ingredient, consolidates across recipes, and keeps the total on budget.
The cart lands in your existing checkout flow. Your storefront, your transaction, your data.
After purchase, Remi becomes a cooking assistant for every meal in the plan, bringing shoppers back to your site all week.
Underneath Remi's AI is proprietary data infrastructure purpose-built for grocery catalogs. It's what lets Remi work your entire catalog at full depth, and it's the part generic AI solutions can't replicate, no matter which model they run.
Remi is a purpose-built guided shopping experience with its own UI, from meal plan to cart to kitchen. Not a chat window bolted onto search.
Shoppers set real targets: calories, protein, budget per meal or per trip. Remi hits them with actual SKUs and actual prices, not estimates.
Plans generate in seconds, and the unit economics support a free-to-consumer feature at grocery scale. Remi is built to run in production, not in a demo.
Your brand, your storefront, your customer relationship. Remi adapts to your catalog, your private label, and your merchandising priorities. You own the AI layer between you and your shoppers.
Remi is in private early access. We're looking for forward-thinking chains to partner with us: Low lift on your team, live on your catalog, measured on basket impact.