Investor overview

AI-powered nutrition for preventive healthcare.

SmartEating turns personal health context into personalized meal plans — helping clinics scale nutrition follow-up while building the evidence foundation for future consumer and medical nutrition software.

Investor briefAvailable on request
  • 01

    Clinic wedge

    Go-to-market starts where trust and follow-up needs already exist.

  • 02

    Evidence moat

    Research foundation, professional workflows and future evidence milestones.

  • 03

    Consumer scale

    The same infrastructure can expand toward direct consumer subscriptions.

Smart Lifestyle AS2026
Core thesis

Clinics are the wedge.
Evidence is the moat. Consumer is the scale.

Wedge01

Clinic wedge

Go-to-market starts where trust, health intent and follow-up needs already exist.

Moat02

Evidence moat

Research foundation, professional workflows and future evidence milestones increase defensibility.

Scale03

Consumer scale

The same nutrition infrastructure can scale toward direct consumer subscriptions over time.

Problem & timing

Health data is growing.
Nutrition guidance is still generic.

People increasingly have access to blood tests, body metrics, wearables and lifestyle insights — but still struggle to translate that data into practical food choices.

The gap

SmartEating translation layer

01

Health data

  • Blood tests
  • Wearables
  • Body metrics
  • Lifestyle insights
02

Nutrition context

  • Goals
  • Preferences
  • Routines
  • Food constraints
03

Practical meal guidance

  • Meal plans
  • Shopping lists
  • Follow-up
Why now01

More personal health data

Blood tests, body metrics and wearables are becoming more accessible.

Why now02

AI personalization is now practical

AI can help translate context into more adaptive nutrition guidance.

Why now03

Clinics need scalable follow-up

Nutrition guidance demand exceeds available one-to-one capacity.

Why now04

Demand for proactive health support is rising

Users and clinics are looking for earlier, more practical support.

Product logic

From health context to adaptive meal guidance.

SmartEating connects personal context, nutrition logic and feedback loops into a single system — practical meal guidance that can be supported by professionals.

System pipeline
  • 01INPUT

    Health context

    Goals, preferences, routines and relevant health data.

  • 02LOGIC

    Nutrition logic

    Research-informed nutrition principles translated into practical guidance.

  • 03OUTPUT

    Adaptive meal plan

    Meal guidance adapted to user needs and everyday life.

  • 04LOOP

    Feedback loop

    User input helps refine guidance over time.

  • 05PROFESSIONAL LAYER

    Professional layer

    Clinics and nutrition professionals can support users between consultations.

Market opportunity

A category being defined right now — at the intersection of personalized nutrition, digital therapeutics and chronic disease prevention.

TAMEstimate

Global personalized nutrition market

$17.7B $67B

2026 → 2034 · CAGR 18.1%

The global market for personalized nutrition is moving from supplements and DNA-kits toward AI-driven platforms that translate health data into daily action — exactly the layer SmartEating operates in.

Sources
SAMEstimate

Europe digital health market

$114B

2026 estimate · Germany, France & UK = 57% of revenue

SmartEating's launch geography (Nordics + UK) sits inside the fastest-moving regulatory bloc in Europe — DiGA in Germany, PECAN in France, NHS digital procurement in the UK — all building reimbursement pathways for evidence-based digital health.

Sources
BeachheadEstimate

Addressable clinical workforce in Nordics + UK

~13,000

Registered dietitians · primary B2B channel

SmartEating goes to market through clinics. The UK alone has 12,168 BDA members; Norway adds ~900 through KEFF; Sweden, Denmark and Finland add another 2–3,000 through their national associations.

Sources

Market figures: third-party reports. Workforce figures: national dietetic associations. SmartEating's serviceable market estimates available on request.

Business model

A clinic-first model with consumer upside.

SmartEating starts with clinics as the trusted entry point.

Each layer adds revenue potential without changing the underlying platform logic — from clinic subscriptions, to active user follow-up, to consumer scale over time.

L3

Consumer subscription

Scale

Direct-to-consumer subscription layer as the infrastructure matures.

L2

Per-user revenue

Activation

Variable revenue tied to active users receiving structured follow-up.

L1

Clinic SaaS

Foundation

Subscription layer for clinics and professional environments.

Documented signals

Where we stand today — and what comes next

  1. TODAYDOCUMENTED

    Documented foundation

    Product ready for pilot use. F4HL license/LOI, public innovation support and scientific advisory foundation.

  2. Q3 2026LIVE

    Pilot launch

    First commercial pilots with Norwegian private clinics and a national patient organization. Validates clinic workflow and user activity.

  3. Q4 2026RCT START

    Clinical RCT — general practice

    Pilot with 274 pre-diabetes patients across Norwegian GPs (PraksisNett). Primary endpoint: HbA1c.

  4. Q4 2026RCT START

    Public health RCT — Bergen i Endring

    Pilot with 328 participants from the Bergen i Endring cohort. Primary endpoint: NORRISK-2 cardiovascular risk score.

  5. Q1 2027 TARGETPLANNED

    Consumer pathway

    Consumer subscription pathway built on clinic-supported learning and product iteration.

Investor access

Request access to the full investor presentation.

The full investor presentation includes funding round details, financial model, roadmap, pilot status, business model, regulatory framing, evidence pathway and investor FAQ.

We share the full presentation with qualified investors after a short introductory dialogue.