NUSEUM AI

Nutrition Intelligence

Make Nutrition
Part of the Care Infrastructure

NUSEUM AI is the Clinical Nutrition Intelligence Layer that enables healthcare, digital health, and food platforms to deliver safe, personalized, and evidence-based nutrition guidance at scale.

Powered by clinical nutrition knowledge, a Safety Rule Engine, and evidence traceability, one embedded engine supports care journeys from GLP-1 and chronic disease to nutrition across the lifespan.

Engine · Clinical knowledgeSafety Rule EngineEvidence traceability

What is NUSEUM AI?

NUSEUM is a precision nutrition AI that turns health data into real-time food guidance.

Designed for integration into delivery, grocery, diagnostics, and insurance platforms.

Safety First

Safety is computed, not generated.

The Rule-First Clinical Safety Engine operates before generative AI.

  • Checks drug–food and drug–nutrient interactions
  • Filters foods by disease, allergy, and health condition
  • Tracks the relationships between recommendations, evidence, and safety rules
  • Keeps clinical knowledge and generative AI structurally separated

Evidence & Validation

From evidence to every meal.

We select and structure medical guidelines, clinical guidelines, systematic reviews, and peer-reviewed papers based on evidence level, recency, and applicability.

  • Evidence Tier-based classification of evidence
  • Traceable links between recommendations and evidence
  • Multi-center evaluation involving clinical experts
  • Blind expert evaluation on the Golden Dataset

One Intelligence Layer. Every Food Decision.

Connects everything from post-treatment care to daily meals with a single clinical nutrition intelligence.

Healthcare & Digital Health

Carries care forward after the hospital visit

Food, Delivery & Commerce

Supports healthier choices and purchases

Smart Institutional Feeding

Turns large-scale meals into data-driven programs

Insurance & Public Health

Builds prevention-oriented nutrition infrastructure

  • Healthcare & Digital Health

    Carries care forward after the hospital visit

  • Food, Delivery & Commerce

    Supports healthier choices and purchases

  • Smart Institutional Feeding

    Turns large-scale meals into data-driven programs

  • Insurance & Public Health

    Builds prevention-oriented nutrition infrastructure

The Problem

Health data stops before the food decision.

Health data continues to expand, but most platforms fail to connect it to users' actual meals and purchasing decisions.

Barriers to Expertise

Clinical Nutrition Expertise

Interpreting diseases, medications, allergies, and individual health conditions together requires clinical nutrition, food data, and AI technology at the same time.

Barriers to Safety

Safety & Compliance

Contraindications, drug–food interactions, and inappropriate health recommendations are difficult to control reliably with general-purpose generative AI alone.

Barriers to Actualization

Cost & Time to Market

Building clinical knowledge data, safety rules, evidence tracking, and personalization engines in-house requires significant cost and development time.

Illustration of Soojin walking with a shopping bag while checking her phone

End-User Reality

Health decisions are complex.
Food choices are still generic.

Meet Soojin, a 49-year-old working mom navigating perimenopause. She is dealing with weight gain, hot flashes, stress, and new medications. She wants to eat better for her hormones, her heart, and her bones, but she is overwhelmed by conflicting information.

Complex health needs

Disease, allergy, and medication information

Limited information

Calories and nutrition facts on menus

Constant uncertainty

“Is the food I am eating aligned with my health goals?”

Shelves of supplement bottles

How NUSEUM AI Works

From health data to safe,
evidence-based food decisions.

We organize health data, apply safety rules, and use clinical evidence to convert it into personalized dietary decisions.

  1. 01. Capture

    Capture health context

    Survey · Medication · Lab Results · Health Goals

  2. 02. Structure

    Build the health profile

    Normalize · Map · Personal Health Profile

  3. 03. Safety Check

    Apply safety rules first

    Computed · Not Generated

  4. 04. Personalize

    Explain with evidence

    Evidence Tier · RAG · Traceability

AI Validation

Built for evidence.
Tested for safety.

We are establishing a multi-center validation framework and the Clinical Nutrition Golden Dataset with the Korean Nutrition Society and clinical experts from major university hospitals.

  • The Korean Nutrition Society
  • Korea University Guro Hospital
  • SMG-SNU Boramae Medical Center
  • Seoul National University Bundang Hospital
Join the clinician & dietitian evaluator panel

Recognized for Global Impact

Selected for the 2026 UNDP Global ImpactPreneur
Top 10 Impact Award

NUSEUM builds clinical nutrition intelligence infrastructure that connects daily dietary decisions to better health outcomes and sustainable food systems.

Global ImpactPreneur Top 10, co-hosted with Chung Mong-Koo Foundation and UNDP

SDG 2

Zero Hunger

Nutrition decision support for vulnerable groups

SDG 3

Good Health & Well-being

Prevention-focused health care through personalized dietary management

SDG 12

Responsible Consumption

Food selection and sustainable consumption tailored to individual health conditions

Discuss PoC & Future Collaboration

Ready to build the next Food-as-Medicine & Longevity experience?

Your platform is already influencing the food choices of countless people. With NUSEUM AI, expand those choices into a safer and more personalized health experience.

Start a PoC

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