MagicMenu

The AI‑First Kitchen OS

MagicMenu is building the operating system for food at scale—for groups that cook and eat together. From assisted‑living communities to student living, family gatherings, camps, retreats, and large households, we use large language models, connected supplier and retail data, and a continuously learning recipe graph to plan, buy, and cook better and more customized meals—effortlessly. Where others bolt AI onto old workflows, we start with the model and design every surface around it. The result is a closed‑loop platform that turns preferences, headcount, pantry or inventory, prices, and time constraints into meals that simply work.

Our Mission

Put great, affordable meals on every table—with less waste, fewer decisions, and more joy.

Why MagicMenu is Different

AI‑first by design

For us, AI isn't a feature. It's the production brain of the product and the company. Specs, experiments, support, ops—everything begins with the model and is finished by humans.

A closed loop

Most food apps stop at inspiration. MagicMenu completes the loop: plan → auto‑cart → delivery/pickup → guided cooking → feedback → smarter next week.

Price‑smart and pantry‑aware

We combine live store pricing, loyalty rules, and a structured pantry graph to recommend what's tasty and economical—down to explainable swaps (e.g., "Broccoli is up 18%; recommending green beans").

Built for reliability

Source‑anchored answers, eval suites for critical prompts, and role‑based data access keep the system accurate, auditable, and trustworthy.

Designed to scale

Our retrieval layer, embeddings, and caching keep context fresh and fast so every household, grocer, or partner gets decisions tailored to their catalog and constraints.

What We Deliver

  • Personalized, budget‑aware meal plans that adapt to diet, pantry, and regional prices.
  • Auto‑ordering with constraints that honors delivery windows, store loyalty, substitutions, and perishables.
  • Guided cooking that adapts steps to skill, tools, and time: "No cast‑iron? Here's the stainless workaround."
  • Continuous learning where ratings, swaps, and leftovers make the next week better—under clear consent and privacy controls.

The Magic Under the Hood

Default to the model

We ask, "Can the model do 80%?" If yes, it does. Humans handle taste, ethics, and the last‑mile judgment.

Connected data, safely used

Documents, style guides, recipe and pantry graphs, price histories, and partner catalogs are wired into role‑based retrieval so the model knows our business without over‑sharing.

Best‑in‑class toolchain

From code to contracts, we standardize on modern LLM copilots for refactors, research, long‑context synthesis, diagrams, IP prep, and voiceovers—so every team ships faster with higher quality.

Craft & guardrails

Source citations for external or analytical outputs; small evolving eval sets for support, pricing, and recipes; least‑privilege access; and explicit rules for what data can be used to train internal assistants.

Groups We Serve

Assisted Living & Nursing Homes

Consistent, nutritious meal cycles that respect dietary requirements and staffing realities.

Student Living (dorms, fraternities, sororities)

Headcount‑aware menus and bulk carts that fit budgets, dietary needs, and shared‑kitchen constraints.

Family reunions

Plan for headcount, budget, and timing; auto‑build carts that minimize leftovers.

Large Families & Multi‑Generational Households

Weekly plans that stretch budgets, cut waste, and match diverse tastes.

After‑School & Youth Programs

Snack and supper programs that meet guidelines while simplifying procurement.

Preschools & Daycares

Age‑appropriate menus and purchasing that reduce admin time and food waste.

Camps

Group menus and supply plans tailored to session length, facilities, and delivery schedules.

Retreat houses & short‑term rentals

Group menus and bulk carts tailored to venue constraints and arrival windows.

Operating Principles

  • Start with the model. Treat it like a fast‑draft teammate; you edit and steer.
  • Ground everything. Examples, constraints, and citations where it matters.
  • Automate the repeatable. If it happened twice, capture the prompt and share it.
  • Review with intent. Be the editor‑in‑chief for clarity, correctness, and taste.
  • Own the edges. Humans make the trade‑offs and carry the accountability.

The Opportunity

Food is the largest recurring purchase category, yet meal planning, grocery, and cooking remain fragmented. An AI‑native system of intelligence can unify these moments into a single, compounding flywheel: every decision makes the next one cheaper, faster, and tastier. That's the category we're defining at MagicMenu.

Work With Us

If you're an operator, partner, or investor who believes the kitchen deserves an AI‑first operating system, we'd love to connect. Early partners help shape the product and share in the upside of a category‑defining platform.

Important Information

All content on MagicMenu is provided for informational purposes only. We are not licensed healthcare providers.

Users are solely responsible for verifying ingredient safety (e.g., allergies) and ensuring the nutritional suitability of recipes or suggestions.