We are building Foodclick — an AI-first kitchen assistant that turns the food people already have into practical meals.
Foodclick uses image recognition, inventory intelligence and generative AI to understand what users have at home, recommend relevant recipes and help reduce everyday food waste.
Kindframe develops and operates its own proprietary technology products. Our current focus is Foodclick. We do not provide outsourced software development, staff augmentation or consulting services to external clients.
01
Proprietary product
Foodclick is developed and owned by Kindframe.
02
Product-focused team
The founders work directly on product, UX, engineering and AI systems.
03
Built for long-term operation
We are building a scalable consumer product, not delivering short-term client projects.
The problem
Food waste often begins with a simple everyday problem: people forget what they already have.
People buy food, lose track of what is at home and struggle to decide what to cook. Traditional recipe products usually begin with a recipe search. Foodclick begins with the user's real inventory.
01
Inventory friction
People do not reliably remember what is already at home.
02
Decision friction
Recipes are rarely adapted to the products users actually have.
03
Waste friction
Food is purchased again, forgotten or discarded before it is used.
1.05 billion tonnesof food waste were generated globally in 2022.
Foodclick turns ingredients into an actionable cooking flow.
Foodclick connects product recognition, household inventory, recipe relevance and cooking history in one mobile experience. Foodclick is not another recipe database. Its core value comes from connecting what a user has, what they can cook, what they actually cook and how their inventory changes afterward.
1
Capture
The user photographs products or adds them manually.
→
2
Recognize
AI identifies products and maps them to a structured inventory.
→
3
Cook
Recipes are ranked according to what the user already has.
→
4
Learn
Cooking events and optional dish photos help improve future product relevance.
→
↻
Updated inventory
The loop feeds back into what the user has on hand.
Capture & inventory — products the user has at home.Cook — recipes ranked against real inventory, missing items shown plainly.Learn — cooking history and impact feed back into future recommendations.
Working product
Designed and implemented beyond the idea stage.
Foodclick has a working mobile MVP with its core user journey designed and implemented across product capture, inventory, recipe recommendations, cooking history and fridge updates.
Current stage: Working MVP / private beta preparation
Completed
Core mobile product flows
Product inventory
Recipe recommendation logic
Cooking-event model
Fridge update flow
Product and UX system
In progress
Recipe database expansion
Recognition quality testing
QA and edge cases
Launch preparation
Why AI is foundational
AI is the product engine, not an optional feature.
Without AI, Foodclick's core product loop would not work. AI connects images, household inventory, recipe relevance and user behaviour into one continuously improving system.
In testing
Visual product recognition
Identifying food products and interpreting photographed ingredients.
Implemented
Product normalization
Mapping detected items to structured product categories, units and quantities.
Implemented
Recipe relevance
Ranking and adapting recipes according to the user's actual inventory.
In testing
Generative assistance
Supporting recipe generation, adaptation and practical cooking guidance.
Planned
Future personalization
Learning from cooking history, corrections and optional dish photos to improve future suggestions.
Product depth
The product is designed around real behaviour, not isolated AI prompts.
01
Event-based cooking
Cooking a dish creates a repeatable event with a date and history. It is not a one-time checkbox.
02
Optional dish photos
Users can add a photo to a cooking event, creating useful product data for future model improvement.
03
Missing ingredients
Missing products are presented as neutral information, not hard blockers or guilt-driven warnings.
04
Inventory update
After cooking, users can adjust or remove the products that were used.
Make the right behaviour easy without turning the product into a guilt machine.
Business model
A consumer product with a clear path to recurring revenue.
Foodclick is planned as a freemium consumer mobile application. The free experience introduces the core product loop, while a premium subscription will support more frequent use, deeper personalization and advanced inventory and nutrition features.
Free
Core inventory management
Limited product recognition
Recipe recommendations
Basic cooking history
Premium
Expanded or unlimited recognition
Advanced personalization
Deeper inventory management
Additional nutrition features
Premium product experience
Longer-term opportunities may include retail, sustainability and partner integrations, but the initial focus is direct consumer product validation.
Kindframe is currently founder-funded. After completing private beta validation and collecting early product data, we plan to explore pre-seed or seed financing to accelerate Foodclick's launch and growth.
Roadmap
From working MVP to an AI food intelligence product.
Stage 1 — Now
Finish MVP
Recipe base expansion, recognition testing, QA and launch polish.
Stage 2 — Private beta
Validate behaviour
Test product relevance, collect feedback and analyze cooking events.
Stage 3 — Launch
Release the consumer product
Launch the Polish and English product experiences on iOS and Android.
Stage 4 — Personalization
Improve product intelligence
Use inventory patterns, cooking history and corrections to improve recommendations.
Stage 5 — Scale
Build partner value
Explore retail, sustainability and food-sector partnerships.
The long-term data asset is not simply a recipe collection. It is the structured relationship between what users have, what they cook, what they photograph and what they repeat.
Team
Small team. Clear product ownership.
Alan
Co-Founder, Product & UX
Alan leads Foodclick's product strategy, mobile UX, behaviour logic and go-to-market preparation. Before Kindframe, he built and launched a mobile product from idea to market. His background in nutrition, psychodietetics and product management supports Foodclick's nutrition and behaviour-change logic.
Michał
Co-Founder, Engineering & AI Systems
Michał leads Foodclick's backend, cloud architecture, AI integrations, data flows and technical scalability. He brings extensive experience in backend engineering, distributed systems and building reliable large-scale technology platforms.
Contact
Talk to the team behind Foodclick.
We welcome conversations with startup programmes, investors, technology partners and organisations interested in Foodclick.
