Meal-plan adherence software

Meals generated from the actual plan.

Lumo combines the published care plan with client preferences, taste signals, household defaults, cooking preferences, check-ins, and feedback so meal support gets more practical over time.

Hands pressing together a thick sandwich with roasted peppers, greens, and cheese.
The client does not need a generic recipe. They need a meal that fits the plan, the kitchen, and the day.

Personalization has to be operational.

The care plan supplies the clinical guardrails. Client profile and preferences supply taste, household, cuisine, disliked ingredients, and cooking context. Check-ins and ratings teach what actually worked.

Care-plan harness

Goals summary, calorie target, macro targets, and planner notes stay in force.

Client preference model

Taste, cuisines, exclusions, household defaults, and cooking preferences shape the meal candidates.

Rolling meal buffer

The system maintains meals ahead of the client instead of relying on a static weekly PDF.

Feedback loop

Swaps, ratings, and meal check-ins update adherence signals and improve future generation.

Extreme close-up of someone biting into a grilled sandwich with greens, tomato, pickles, and melted cheese.

Meals become easier to repeat.

The goal is not a prettier recipe card. It is a compliant meal the client can eat, swap, rate, and check in on without pulling the practitioner into routine work.

Built for meals clients can use.

  • Assembles generation context from the care plan, profile, learned taste signals, and ingredient catalog.
  • Resolves ingredients and nutrition deterministically instead of relying on model guesses.
  • Regenerates affected meals when a client requests a swap.
  • Creates alerts when repeated skips, swaps, or rule drift need practitioner review.

Help the plan become daily action.

Join the waitlist for nutrition practices that want adherence support without more manual follow-up.

Join waitlist