NutriFind

AI-powered • Point-of-decision • Built for busy professionals

Eat on-track anywhere.
Without the spreadsheet energy.

NutriFind turns any restaurant menu into personalised, goal-aligned meal recommendations—right when you’re about to order. Less decision fatigue. More consistency.

High-proteinCalorie controlLow-carbVegetarianBalanced eatingMenu photo + translation

NutriFind is a wellness decision tool (not medical advice). We optimise for materially better choices with minimal friction.

Why this matters

Real-time
Guidance at the moment of ordering—not after the fact.
Personalised
Filters menus through your goals, constraints, and preferences.
Low friction
No calorie logging. No guilt loops. Just better choices.
Scalable
London-first rollout, then expand city by city.
Pilot target: London • Restaurants + users

We’re building a real-time personalisation layer for the out-of-home food economy: menus → recommendations → better decisions.

The problem

Eating well takes constant cognitive effort

When work gets chaotic (or you’re travelling), even disciplined people default to convenience. Menus are overwhelming, nutrition transparency is inconsistent, and there’s no personalised guidance at the point of decision.

Information overloadTime pressureBehavioural fatigueNo personalisation

Existing apps miss the moment that matters

Tracking appsTell you what you already ate (retrospective).
Restaurant discovery appsOptimise for popularity, price, and taste—rarely your goals.
Medical nutrition platformsHigh-touch and not designed for daily dining convenience.

The solution

NutriFind is an AI-powered mobile platform that transforms restaurant menus into a personalised shortlist of meals aligned to your goals.

1) Set your profile

Calorie targets, protein preferences, dietary constraints, fitness objectives.

Think: “My rules, my reality.”

2) Scan a menu

Nearby menus or a photo. Translate automatically when travelling.

No scrolling 40 minutes like it’s a hobby.

3) Get ranked recommendations

Dishes scored and ranked for suitability—fast, practical, and frictionless.

Better decisions, not perfect nutrition math.

Visual Prototypes

Prototype of the Menu Analyzer screen showing menu upload and AI recommendations

The Menu Analyzer

Upload a menu to get instant, personalized meal recommendations.

Prototype of meal finder screen

Find Meals Nearby

Discover healthy options at restaurants near you that fit your profile.

Two core use casesBusy professionals + frequent travellers
Nearby menu filteringPhoto scan + translationGoal-aligned shortlist

Market gap

The whitespace is a product that’s health- and fitness-focused (not medical), contextual and real-time, and seamless—no food logging.

What NutriFind owns

  • Point-of-decision intelligence

    Recommendations when ordering, not after eating.

  • Personalisation layer

    Menus filtered through your goals and constraints.

  • Behavioural learning

    Improves ranking accuracy over time based on usage signals.

Why now

  • AI adoption is mainstream

    Personalisation expectations are rising.

  • Menus are digitising

    Structured data becomes increasingly available.

  • Wellness is booming

    Health and performance are central to daily life.

Business model

Dual revenue engine: B2C subscription + B2B restaurant personalisation.

B2C • Freemium

Free: basic filtering. Premium: advanced macros, photo scan + translation, saved preferences.

Premium: £5/moor £60/year

B2B • Restaurant SaaS

QR code / widget → diners get personalised filtering automatically via NutriFind profiles.

From £99/mo

Future Monetisation

Affiliate integrations with delivery partners and large-scale data insights.

The “intel layer” for food.

Roadmap (24 months)

0–6 months

  • MVP completion

    Core recommendation engine + UX.

  • Closed beta in London

    Validate CAC and conversion.

  • 10 pilot restaurants

    Hands-on onboarding.

6–24 months

  • Public launch

    Scale users + restaurants.

  • Behavioural engine

    Increase accuracy via usage signals.

  • Expansion

    Second UK city launch.

Founder & company

Founder

NutriFind is founded by Riddhita Chatterjee, an entrepreneur with a background spanning economics, structured system design, and long-term performance development.

She holds a Master’s degree in Economics from Jawaharlal Nehru University (JNU) and brings a systems-oriented approach: behaviour change is driven by architecture, not willpower.

Product is shaped in close collaboration with her husband, who brings a data-driven, technology-focused, performance-oriented perspective.

Company structure

Operates as NutriFind Limited (UK private limited company). The NutriFind brand is trademarked, with IP formally protected, and a professional external accounts team supports compliance and reporting.

UK registeredTrademarked brandGovernance + compliance

Join the London pilot

We’re onboarding early users and health-focused restaurants in London. Drop your details and we’ll follow up.

By submitting, you agree we can contact you about the pilot. We don’t sell your data (because… gross).