Label compliance on autopilot.
Every label has to pass dozens of checks: ingredients, allergens, claims, nutrition tables, layout rules, regulations and spec sheets. Today that work lands on a small team of senior auditors. The result: bottlenecks, delays and costly back-and-forth with brand owners and designers.
Label Audit AI changes the equation. Submitted artwork is automatically checked against your rule sets, your spec sheets and the relevant regulations. Instantly, consistently, and with a fully documented finding for every issue. Your auditors only step in where it really matters.
Submit
Designers and brand owners upload their artwork through a clean portal. No emails, no shared drives, no version chaos.
AI checks
Multiple AI agents read the artwork, compare it against your spec sheets and rule sets, and produce a detailed audit report.
Approve
Reviewers focus only on the edge cases, discuss them in the thread and approve, with full logging of who approved what.
Built to replace the email loop
Everything you need to turn label compliance into a fast, predictable and traceable process.
Lower audit costs
AI handles the routine checks. Senior auditors are freed up for the findings that truly need human judgement. And the back-and-forth emails with the customer are a thing of the past.
Instant, detailed audit report
A full compliance report is ready the moment artwork is submitted. AI does not get tired, does not skim and does not miss the fine print. Every finding is linked to the exact rule and source reference.
Much shorter time-to-market
Brand owners get actionable feedback at submission, so issues are solved before your audit team is even involved. Cut weeks of email ping-pong out of every launch.
One portal, full overview
Every product, every artwork and every audit, neatly in one portal. Filter, search and report across the whole pipeline instead of digging through inboxes.
Complete audit trail
Every approval, every override, every comment is logged. When a regulator or retailer asks who approved what and when, the answer is one click away.
Your rules, your house style
Spec sheets, regulatory frameworks (NVWA, FEDIAF, EU 1169/2011, …) and brand-specific house rules are configured once and reused on every audit. You stay in control.
How it works
From artwork upload to substantiated approval in three steps.
Step 1: Submit through a guided portal
Brand owners and designers upload artwork (PDF or image) and link it to a product and rule set. The portal guides them through the metadata, the spec sheet and any annotations, so every audit starts with a complete dossier.
- Drag & drop artwork
- Linked to product, profile and version
- Version control with full history
Step 2: AI agents check every rule
Multiple AI agents read the artwork in parallel: ingredients, allergens, nutrition declarations, claims, layout and house rules. Every finding references the exact rule, the relevant regulation and the position on the label.
- Vision and reasoning models that cross-check each other
- Findings flagged as PASS, WARNING or ERROR
- Disagreements between agents are made explicit
Step 3: Review, discuss and approve
Auditors open the report, discuss edge cases in a built-in thread (no more email chains) and approve the artwork. Every action is logged with user, timestamp and motivation, ready for the next regulator or retailer audit.
- Inline rule threads per finding
- Re-submission with a diff against the previous version
- Complete audit log: who approved what and when
What teams use it for
Anywhere labels have to be right first time. Fast, consistent and demonstrable.
Petfood: NVWA & FEDIAF
Check petfood labels against NVWA requirements, the FEDIAF Code and EU feed regulations. Full declarations, nutritional additives and analytical constituents, all checked automatically.
Food & beverage
Check EU 1169/2011 mandatory information: ingredients, allergens, nutrition declaration, net quantity and durability, directly from the artwork.
Cosmetics & personal care
Validate INCI lists, claims, batch numbers and PAO symbols. Catch missing or inconsistent information before it goes to print.
Private label, white label & retail
Retailers with private label or white label programmes scale audits across hundreds of suppliers without growing their team. House rules per formula, consistently checked every time.
Pre-print check
Catch compliance issues before artwork goes to the printer. One failed launch costs more than a year of Label Audit AI.
Regulatory & QA evidence
Every audit produces a signed, exportable report. Hand it to your auditor, retailer or regulator, and move on.
Under the hood
Built for accuracy, transparency and enterprise-grade trust.
| AI models | OpenAI GPT, Google Vision + Gemini, cross-validated |
| Inputs | PDF, PNG, JPG artwork + spec sheets |
| Rule engines | Spec sheet, additives, NVWA, FEDIAF, EU 1169/2011, spelling, custom |
| Languages | Multilingual artwork (NL, EN, DE, FR, …) |
| Deployment | SaaS portal, available anywhere |
| Authentication | OIDC single sign-on, role-based access |
| Security | TLS enforced, OWASP best practices, full audit log |
| Integration | REST API + webhooks for ERP / PIM / DAM |
Manual audit vs. Label Audit AI
| Manual audit process | Label Audit AI | |
|---|---|---|
| Lead time | Days to weeks per artwork | Minutes per artwork |
| Consistency | Depends on the auditor and the time of day | Same rules, every single time |
| Customer feedback | Email back-and-forth, multiple rounds | Instant detailed report at submission |
| Coverage | Sampling, fatigue plays a role | 100% of the rules, every submission |
| Traceability | Inboxes, spreadsheets, shared drives | One portal, full audit log |
| Scaling cost | Linear with volume, hire more auditors | Marginal, the same team handles more launches |
Frequently asked questions
A few questions we hear most often about our automated AI label inspection.
No. The AI takes the routine work off the table (the obvious PASS and clear ERROR) and only surfaces the findings where human judgement is needed. Your auditors become reviewers and decision-makers, not data-entry clerks.
Multiple AI agents check every artwork independently. When they agree, you can trust the finding. When they disagree, the difference is made explicit for human review. Fail-safe by design.
Yes. Spec sheets, rule sets and profiles are fully configurable per product, brand or formula. Whatever you check today, we capture once and apply on every future audit.
Standard rule packs for the most common frameworks ship out of the box. During onboarding we align them with your specific interpretation and policy.
Yes. Every submission, finding, comment, override and approval is logged with user, timestamp and version. A complete PDF audit trail per artwork is exportable.
Artwork and spec sheets are stored encrypted, accessed over TLS, and only available to users with the right role. We follow OWASP guidelines and your data is never used to train public models.
Ready to take the email chains out of your label audits?
See Label Audit AI in action with your own artwork, your own rules and your own auditors. We will walk through a real audit with you in 30 minutes.