FOODSCAPEReturn food to an understandable reality

From a single label or spec sheet to a whole supply and eating system, Foodscape uses data, AI and food knowledge to organize ingredients, processing, regulation and context, so organizations see the whole picture and decide on evidence.

OUR BELIEF

Food has its own landscape

Food is not one ingredient list or a health claim on a pack. It is a landscape formed by raw materials, process, formulation, logistics, channels and everyday choices.

THREE REALITIES

Three layers of what is real

01

Ingredient reality

What a food was, how it was handled, how much of its original character remains. What a label does not say is not filled in.

02

Processing reality

No demonizing of processing. Additives, formulation and nutrition are shown honestly, so information is no longer hidden by packaging language.

03

Eating reality

Cost, convenience, time, culture and health conditions are real limits. The goal is fewer regrets, not perfection.

METHOD

See, understand, act

See

Restore the original shape of labels and data so ingredients, processing and stated sources are readable.

Understand

Rebuild context, placing rules and evidence beside each judgment rather than behind it.

Act

Make decisions defensible and connectable to existing workflows and systems.

Food data governance

Turn scattered items, specs and labels into consistent, verifiable data.

For: food brands & retail

Ingredient & risk understanding

Break down ingredients, processing level and allergen cues, with basis and open questions stated.

For: catering & clinical meals

Regulation & labeling support

Check against regulation and labeling rules; key judgments remain with qualified professionals.

For: health programs, research & government

Enterprise integration & API

Planned integration with ordering, e-commerce, smart kitchen or ERP systems, explored per partnership.

For: digital platforms & AI teams
Food Knowledge GraphSemantic NormalizationRules & Evidence EngineAPI Integration

LIVE DEMO

From a food label to information you can read

品名:香蔬煎餅(示範)
成分:高麗菜、小麥麵粉、植物油、香菇粉、調味料(酵母抽出物)、鹽
過敏原資訊:含有麩質之穀類
SOURCEFictional demo label text
UPDATED2026-10-18
SCOPEIngredient label reading
LIMITSExcludes origin, logistics, full process

TWO BRANDS, ONE ENGINE

FoodSense sees one bite; Foodscape sees a food world

食覺 FoodSense食境 Foodscape
AudienceIndividuals & familiesFood industry, catering, health programs, institutions, platforms
Core questionWhat exactly am I eating?How is a food defined, processed, supplied and governed?
RoleSees one biteSees a food world
TaglineUnderstand what you eat, with AIReturn food to an understandable reality
Food Knowledge Engine — the shared base of data, food knowledge, regulation and reasoning.

PRINCIPLES

Evidence shown, questions marked, unknowns left blank

  • Original shape & contextNo demonizing of processing, no mythologizing of "natural".
  • Evidence & transparencyEvery judgment carries its source and rule basis.
  • AI is a method, not the starWe use AI to speed up organizing and understanding food information; key judgments still rest on sources, rules and traceability.
  • Honest about maturityAnything in development is labeled "planned" or "exploratory".
Data scale will be published once its as-of date, de-duplication rule and snapshot are approved.

Talk about your food-information situation

We discuss your use case directly with the founding team.