Sevo provides an operating layer for independent food commerce, giving home chefs and small food sellers the infrastructure informal channels lack—storefronts, recurring drops, AI-assisted review, checkout, delivery operations, and durable transaction records. The platform organizes local food demand into a visible marketplace state, showing seller readiness, buyer intent, listing quality, and fulfillment constraints before the next order. Currently in private beta in New York City, Sevo targets the frequent, visual, and repeatable demand already moving through DMs, group chats, and social feeds.
Funding
Funding not disclosed
Founders
Product
Problem
Independent food sellers—home chefs and small food businesses—rely on informal channels like DMs, group chats, apartment buildings, and social feeds to sell their products. These channels lack structured infrastructure for discovery, listing review, checkout, fulfillment tracking, support, and repeat demand, leaving both sellers and buyers without reliable transaction records or operational visibility.
Solution
Sevo provides an operating layer for independent food commerce, converting informal food demand into a structured marketplace. Sellers publish storefronts, drops, images, ingredients, allergens, availability, pickup windows, and fulfillment notes, which Sevo transforms into review queues, ranking signals, checkout state, delivery operations, support history, and transaction memory. Buyers see a clean discovery surface while operators see live marketplace state—seller readiness, buyer intent, listing quality, fulfillment constraints, and repeat behavior. The platform is designed to extend beyond food into higher-friction home services as records, workflows, and provider history compound.
Target Audience
Primary customers are independent food creators and home chefs in dense urban markets who currently sell through informal channels and need structured commerce infrastructure, along with the buyers seeking reliable discovery and transaction records.
Features
- Seller storefronts with product listings, drop scheduling, ingredient and allergen disclosure, availability, pickup windows, and fulfillment notes
- AI-assisted listing review that converts seller inputs into quality queues and ranking signals
- Recurring drop-based demand management for frequent, repeatable food purchases
- Checkout, delivery operations, and support infrastructure integrated into a single platform
- Durable transaction records and marketplace state tracking, including buyer clusters, building demand, delivery paths, and review queues organized for dense markets
- Local graph architecture designed to scale from food into adjacent home services verticals