01
Analyze what matters about this food or product
Bring a specific product, ingredient list, label detail or handling question into focus.
Identify the evidence that changes the decision in front of you.
The food question you’re asking may not be the risk that matters most.
Food Safety Intelligence
Ask about the food or product in front of you — recalls, pesticides, additives, allergens, authenticity, handling or comparisons — and get a concise, evidence-grounded answer that separates what sounds scary from what actually changes risk.
Built for moments when you’re shopping, cooking or looking at a product. The calling AI can supply grounded label/product context; Food Safety Intelligence provides the evidence and decision layer.
Active development — not yet publicly available through Meta AI.
Question context
01At the shelf
02At the kitchen counter
03When an alert appears
People care about exactly these questions
EFSA Special Eurobarometer 2025, EU-27, n=26,374.- 72%
of EU citizens say they are personally interested in food safety.
- 39%
name pesticide residues among their top food-safety concerns.
- 35%
name additives used in food or drinks.
- 32%
name food poisoning from bacteria, viruses or parasites.
Three focused actions
Start with the question in front of you
02
Explain one concern without fear-mongering
Separate a worrying signal from what dose, exposure and current evidence can establish.
Understand the concern without inflating or dismissing it.
03
Compare two foods on the same question
Compare a defined risk across two foods without collapsing safety into a universal score.
Keep the comparison specific, relevant and evidence-grounded.
Example questions the service can explain
The first answer is not always the useful one
A pesticide was detected. Does that mean this food is dangerous?
Detection, compliance and health risk are different questions. Dose and exposure matter.
The result is above a pesticide legal limit (MRL). Does that mean poisoning?
Not automatically. An MRL is a regulatory limit, not a direct poisoning threshold — though an exceedance can still matter legally.
Is ‘natural’ automatically safer?
No. Natural substances can also be toxic; origin is not a safety guarantee.
This ingredient name sounds like a chemical. Should I avoid it?
A scary name does not tell you the dose, exposure or real-world risk.
Is this recall actually current — and does it match my exact product?
Current status and item identifiers matter; historical notices are not the same as a current match.
Raw milk or pasteurized milk — what actually changes the microbiological risk?
Processing can materially change pathogen risk; the comparison should focus on the risk you asked about.
The useful surprise
The distinction can change the decision
Food safety is full of intuitive shortcuts that fail: detectable does not mean dangerous; legal limit does not equal toxicity threshold; natural does not mean harmless; and the risk people fear most is not always the one most likely to matter in the moment. Food Safety Intelligence is built to explain those distinctions clearly — and still tell you what to do next.
Why a dedicated connector?
Current questions need stronger evidence boundaries
General AI can discuss food safety, but freshness-sensitive and product-specific questions need stronger evidence boundaries.
Current-source checks
Authoritative current-source paths for supported U.S. FDA recall and outbreak questions.
Lifecycle distinctions
Current notices stay separate from historical records; investigation status stays separate from an ongoing outbreak.
Jurisdiction and item fit
Country scope and exact product identifiers remain part of the answer rather than being silently generalized.
Calibrated uncertainty
When current evidence cannot be verified safely, the service says so instead of substituting model memory.
- REST / OpenAPI
- 3 read-only actions
- Evidence-grounded
- Active development
Built for conversational and hands-free use
The API can accept structured text supplied by the calling surface, including product name, brand, ingredient text, label text and jurisdiction.
The connector itself does not perform camera, OCR or barcode recognition.
Current live-alert scope
Freshness-sensitive recall and outbreak verification is currently limited to U.S. FDA information. Unsupported non-U.S. current-status requests are not silently substituted with U.S. status.
Evidence before certainty
Clear distinctions, not false confidence
Food-safety answers are framed around what the available evidence can support, including the limits and timing of that evidence.
- Detection does not automatically mean danger.
- A regulatory limit is not the same as a poisoning threshold.
- A historical recall is not a current recall.
- An active investigation does not necessarily mean an ongoing outbreak.
- A category's fraud history is not proof about a specific item.
- If current evidence cannot be verified, the service says so rather than guessing.
Read-only and educational
Defined boundaries for responsible support
- No diagnosis or prescription
- No 100% safety guarantee
- No universal 0–100 score
- No certification or approval
- No purchases or account modifications
- No item-specific fraud accusation without evidence
Why Inspect IQ is building it
Consumer questions deserve disciplined evidence
Inspect IQ is applying its experience in food inspection, regulatory interpretation and laboratory evidence to the everyday questions consumers face. The goal is practical decision support that explains both the evidence and its limits, rather than overstating certainty.
Food Safety Intelligence is not presented as approved or endorsed by Meta or the FDA, and no partnership with Meta is implied.
Have a question about the project?
Food Safety Intelligence is in active development. Contact Inspect IQ to discuss its scope or a related food-safety initiative.
Contact Inspect IQ