Explore the reading engine
A document is not a verdict. Our approach brings publication dates, provenance, definitions and missing information back into view.
Food information is everywhere. Context is not. We design AI-assisted software that helps people navigate nutrition and petfood material, understand where claims come from, and recognise when a qualified professional needs to take over.
A document is not a verdict. Our approach brings publication dates, provenance, definitions and missing information back into view.
Human dietary questions and companion-animal feeding have different evidence bases. We treat them as separate knowledge areas.
Web applications, Windows utilities and guided workflows help users organise information without pretending to replace expert judgement.
A set of complementary components, designed for readers, publishers and teams seeking more accountable information workflows.
Nutrition advice is often reduced to lists, rankings and sweeping promises. Our software concept instead organises questions around the quality and limits of available documentatio
Read more →Food labels, nutrient statements, life stages and veterinary indications can be confused when tools mix generic animal content with species-specific guidance.
Read more →We build assisted reading systems rather than an all-knowing nutrition oracle. The architecture is designed to expose the origin, age and relevance of documents before presenting a
Read more →An example of the proposed architecture, not a live AI assessment or scientific certification.
Identify the documents and data permitted for use.
Find relevant passages and preserve their origins.
Produce a provisional summary with explicit uncertainties.
Route sensitive decisions to the appropriate professional.
“The next generation of nutrition tools should be able to explain what they do not know.”Present a project ↗