Food Intelligence,
not just food data.
Most food apps simply display records from a single public database. Barliva ingests dozens of sources, applies AI normalization, and builds a canonical, multilingual food knowledge graph with explainable health intelligence. Other apps show data — Barliva creates knowledge.
Food data is raw, messy and duplicated.
Open databases are a starting point, not an answer. The same product appears a dozen ways, ingredients are free-text in mixed languages, additives hide behind E-numbers, and nothing explains what any of it means for your health.
Inconsistent records
“Corn Flakes”, “Corn-Flakes 500g”, “CORNFLAKES” — the same food split into many incompatible rows with conflicting fields.
Free-text ingredients
Ingredient lists are unstructured, multilingual and ambiguous — impossible to query or compare reliably.
No meaning
Raw data tells you what's listed. It doesn't tell you whether it's good for you, or why. There's no intelligence layer.
A thin wrapper over a public database isn't intelligence.
Most basic “food scanners” are a thin UI on top of a single public database. If the underlying record is wrong, incomplete or in another language, so is the app. They inherit every gap and add nothing structural.
- They show one source — Barliva fuses many.
- They display free-text — Barliva structures it into entities.
- They stop at data — Barliva generates explainable health intelligence.
- They're static — Barliva enriches products continuously.
| Capability | Typical scanner app | Barliva |
|---|---|---|
| Data sources | One | Many, fused |
| Deduplication | None | Canonical entities |
| Ingredient parsing | Free-text | Structured + classified |
| Languages | As stored | Knowledge graph |
| Health score | Opaque | Explainable |
| Enrichment | Static | Continuous AI |
From raw data to consumer insight.
A five-stage intelligence pipeline turns scattered records into knowledge you can trust.
A knowledge graph, not a spreadsheet.
Barliva resolves every raw record into canonical entities — one true product, ingredient, additive, allergen and brand — and connects them in a graph. Query relationships, compare across languages, and reason about food the way a human expert would.
- Entity resolution & deduplication across sources
- Structured, classified ingredients (additives mapped to E-numbers)
- Multilingual canonical resolution (one entity, many languages)
- Relations that power search, comparison and insight
Built to understand food, end to end.
Ingredient analysis
Every ingredient parsed, classified and explained — with additive and allergen detection built in.
Explainable health scores
A 0–100 score with the exact factors behind it — category baseline, penalties and capped bonuses.
Allergen intelligence
Canonical allergens normalized across languages and naming conventions, so nothing slips through.
Multilingual understanding
One canonical entity expressed in many languages, with localized consumer-friendly explanations.
Manufacturer integration
Authoritative manufacturer data folded into the graph for accuracy public sources can't match.
Continuous enrichment
Products get better over time as new sources, corrections and AI passes flow through the pipeline.
Barliva vs. typical food scanner apps.
Typical scanner apps read a label and show a score. Barliva builds the knowledge behind it.
| Capability | Typical scanner apps | Barliva |
|---|---|---|
| Data sourcesWhere the data comes from | Mostly a single public source | Public data, manufacturer sources & AI-assisted normalization |
| Normalization | Records shown as stored | Canonical, deduplicated entities |
| Multilingual coverage | As stored in the source | One entity across many languages |
| Health score explainability | A number, little context | Every factor behind the score |
| Manufacturer enrichment | Rarely | Authoritative manufacturer data |
| API / platform readiness | Consumer app only | Built as a data platform & API |
| Review workflow | None | Human-in-the-loop review |
| Product intelligence depth | Surface-level lookup | Continuously enriched intelligence |
Comparison describes general app categories, not any specific product, and is provided for illustration.
One platform, three audiences.
For consumers
Scan any product and instantly understand what's inside — with a health score and plain-language explanation you can actually trust.
For manufacturers
See how your products are understood, correct the record at the source, and benchmark formulations against the category.
For retailers
Enrich your catalog with canonical, multilingual food intelligence and power health-aware discovery and filtering.
Transparent by design.
No black boxes. Every canonical entity is traceable to its sources, and every health score shows the factors behind it.
Questions, answered.
Is Barliva just another OpenFoodFacts app?
What exactly is a “food intelligence platform”?
How is the health score calculated?
Do you offer an API for businesses?
Where can I use Barliva today?
Other apps show data.
Barliva creates knowledge.
Try the consumer app, or talk to us about the platform and API.