Nutrition intelligence / Digital research lab

Think beyond the pet food label.

Ingredients lists, scientific papers, marketing promises: they rarely speak the same language. Our ambition is to create AI-assisted tools that help make sense of pet nutrition claims and show where the information comes from.

01 Source origin02 Context03 Human judgement
Illustrated dog and cat with layered nutritional data cards and reference signals
CONCEPT VISUAL · RESEARCH TOOLS IN DEVELOPMENT
Canine and feline nutritionSource assessmentAI systemsHuman review
Two identities, distinct roles

From reading to comparing.

The products described below are development directions, not a promise of an existing diagnostic service.

PROJECT / A

Petfood Advisor

An information companion designed to help users formulate sharper questions, browse a curated documentary base and explore how a statement is supported.

Guided information accessExplore concept ↗
PROJECT / B

Petfood-Score

A possible framework for organising comparable pet-food characteristics. Any scoring approach would first need openly defined criteria, appropriate validation and clear limitations.

Structured comparison conceptRead principles ↗
Behind a trustworthy answer

An AI response should leave a trail.

We want to make the reasoning pathway easier to inspect, rather than hide it behind a confident paragraph.

A manufacturer’s claim is not identical to a peer-reviewed study. A general nutritional recommendation does not automatically apply to an individual animal. The distinction should remain visible in the digital experience.

How sources are handled
A1

Provenance

Show the publisher, document type and relevant date when available.

A2

Boundaries

Separate what a source establishes from what it leaves unanswered.

A3

Review

Leave room for verification, correction and specialist input.

Illustrative scenarios

Same food category. Different questions.

Select a scenario to see an example of how a documentary question might be framed. This demo does not run an AI model.

SAMPLE RESEARCH QUESTION

What evidence supports the nutritional claims made for this adult dog food?

A responsible workflow would identify the precise claim, find the source documents, examine relevance to the animal’s context and point out where information is missing.

Illustration only — not individual feeding guidance.
One studio / Many domains

Research technology has applications well beyond pet food.

Alain Stevens develops technical services through Pacta Labs: AI integration, web engineering, workflow automation, SEO and tools that support independent information gathering.

Go to Pacta Labs
01 / BUILDWeb products and Windows software
02 / SUPPORTDocumentation, consulting and training
03 / SAFETYOSINT software and cyber-fraud awareness
Clear boundaries

What the project is — and what it is not.

Is this a tool for diagnosing a pet?

No. These initiatives focus on information literacy and software. Symptoms, diseases, allergies and therapeutic diets require veterinary assessment.

Are Petfood Advisor and Petfood-Score currently offering automated analyses?

The site introduces development intentions and technical services. It does not present a live nutrition assessment service or an established, scientifically validated scoring system.

Does a referenced source guarantee a reliable answer?

No single citation guarantees correctness. Quality depends on relevance, methodology, date, completeness and interpretation. Conflicting evidence must remain visible.

Can businesses discuss a related digital product?

Yes. Consulting can cover a structured knowledge base, document processing, interfaces, automated workflows and training, with a scope agreed beforehand.

Project enquiries

Turn a question into a defined digital project.

Describe your intended audience, data constraints and desired output. We can discuss a realistic technical approach before any development begins.

Start a technical discussion