Alain STEVENS – +33(0)6 12 55 19 80 – contact@pacta.com - Cybercrime - Cybersécurité
Consultation ↗
Artificial intelligence • Source research • Pet nutrition

Good petfood decisions begin with better questions.

Nutrition headlines spread quickly. Their supporting evidence does not always follow. Petfood Advisor brings together the digital tracing methods behind Cyberdétective® and the Petfood-Score AI approach to help scrutinise where animal nutrition claims originate and how reliably they are supported.

Source provenanceCritical readingResearch contextVisible uncertainty
Illustration of a dog and cat next to evidence review panels, nutritional data and a source-checking dashboard
Read beyond the headline
01Find the original statement
02Evaluate the material behind it
03Explain what remains uncertain
The combined approach

Not every published claim deserves equal confidence.

Large collections of links can create an appearance of authority. A more useful approach asks what each reference actually shows, what has been inferred and what remains to be checked.

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Cyberdétective® explores the digital trail

Examine publication history, attributable authorship, accessible records and the way a statement is reproduced across websites and social platforms.

Technology background →
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Petfood-Score frames AI-assisted review

Organise evidence questions, compare statements across documents and flag contradictions for subsequent human assessment.

See the methodology →
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Petfood Advisor makes context readable

Present an understandable explanation of what sources support or fail to support, without prescribing diets for individual animals.

Project background →
How evidence is approached

Follow the claim, not just the search result.

This is a proposed documentary review framework. It should not be mistaken for an automated certification of scientific validity or a nutritional rating for commercial products.

  1. Capture the precise claimSeparate the words that can be tested from promotional framing and general impressions.
  2. Establish the publication chainSeek the earliest attributable reference, its date, any updates and the underlying study or record.
  3. Read across evidenceConsider how a study was conducted, which animals were examined and whether other findings disagree.
  4. Report with proportionDifferentiate supported points, open questions and unsupported leaps, with a human in control.
Source ≠ conclusion

A credible document can still be cited out of context.

Research into one species is not automatically transferable to another. A measured result does not necessarily prove a broad health promise. Even authoritative material needs careful interpretation.

Digital research and AI may help locate discrepancies, but they do not replace a scientist’s judgement or veterinary advice.

Review the criteria ↗
Diagram linking origin, publication context, cross-checking and evidence limitations
Everyday examples

Four claims worth slowing down for.

These examples illustrate reasoning methods and do not assess any specific manufacturer or animal food.

What you may readWhat to checkPossible blind spot
“Backed by clinical science”The original paper, its design, what it measured and any funding disclosures.The marketing statement may be broader than the study’s findings.
“Natural ingredients guarantee health”How the claimed benefit is defined and whether outcomes were actually tested.An appealing label is not the same as demonstrated nutritional suitability.
“High protein means high quality”The reporting basis, moisture content, complete nutrient profile and intended animal.A single nutrient number lacks the context of an overall diet.
“Experts unanimously agree”Named professional guidance, publication dates and genuine areas of consensus.Scientific nuance may disappear in a short slogan.
A simple reading exercise

Make your evidence checks visible.

Mark the checks you have performed when reading an animal nutrition article. This interactive reminder operates within your browser and does not send your answers anywhere.

Not a Petfood-Score calculation. Completing a checklist does not certify a statement or rate a petfood formula.
Documentary checklist

Five checks to guide research, not a scientific verdict.

No server-side storage of your selections.

Frequently asked questions

What the technology can — and cannot — tell you.

Can AI recommend the best food for my pet?

This website does not deliver individual nutrition prescriptions. Choosing a diet for a particular animal involves factors such as health status and clinical history, which belong with a qualified veterinary professional.

Do the Cyberdétective® methods investigate people or companies?

The approach described here uses lawful, accessible information to review the origins and propagation of published content. Pacta Labs does not perform named-person investigations for third parties.

Is Petfood-Score an official quality label?

No. Petfood-Score is presented as an AI and information-review initiative. We do not claim a public certification, official grading scheme or independent scientific approval.

Does a peer-reviewed reference settle every dispute?

No single paper can resolve all questions. Study design, sample size, reproducibility and relevance to the situation matter; uncertainty sometimes remains despite strong sources.

Petfood Advisor × Pacta Labs

Have a source-verification project in mind?

Discuss the software, workflow, reference material and boundaries of a reliable information-review process.

Request a technical consultation ↗