One Food
Decision intelligence for food.
The problem
Food information is written as recipes, labels and articles. None of it answers the question people actually have, which is what to do next with the food in front of them, given the season, the diet and what is growing locally.
Why it matters
Food is thrown away because nobody knows what they have, how long it lasts or what it could become. That's a knowledge problem before it's a behaviour problem.
What we built
A food decision engine built on a food graph rather than a recipe index: ingredients, seasons, varieties, growing conditions, substitutions, storage and dietary constraints, connected so a question returns an answer with the reasoning attached.
Where it is now
In build. The tomato work in The Tomato Post is the first slice of the food graph.
Stage
Disciplines
Looking for
- Chefs
- Retailers
- Nutritionists
- Storage and shelf-life researchers
Latest progress
Now
Food graph in build: season, storage, substitution, diet.
Next
Measuring whether it changes what actually gets thrown away.
Questions it answers
- What should I cook with what I have?
- Is this in season?
- Can I freeze it?
- Can I eat this on my diet?
- What's growing locally?
- What variety should I grow?
- What's a good substitute?
Who it's for
Components
Similar problem in your business?
Tell us what you're trying to solve. We'll say whether it's worth building.
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