P4 · Regulatory Attribute Proof

Work-Fitness Attestation

Hide health-check results, training history and sensitive personal data
Prove meets the required health checks, training and qualifications

Prove that staff "meet the required health checks, training, and qualifications" — without exposing personal health data. Assignment and audit verify without contents. Spans food/retail and critical-infra special training/medicals.

Food service & retail · Manufacturing & critical infra (special training, medicals) · Logistics 3 min read
live in production since 2025 · Public-infrastructure PoC in production · ETHGlobal AI Agents 2026 Finalist
01 · WHO IT'S FOR

Who this is for.

For those verifying staff work-fitness where employment requires health checks, training, or qualifications (food/retail, manufacturing/critical-infra, logistics). Showing stool-test results or medical data creates storage/leakage risk for special-category data. "Fit to work" and "handing over health data" differ.

  • Hygiene managers in food/retail; safety and special-training leads in manufacturing/infra

  • Teams verifying work-fitness across many staff or contractors

  • Teams wanting an evidence trail for medicals/training without holding health data

02 · THE SHIFT

Hand over the source, or just the facts?

Change what reaches the AI, and the leakage risk goes with it.

Without Lemma
Hand over the original
staff_id:
S-345
name:
Hanako Suzuki
health_check:
2024-05 done
training:
hospitality training done
certification:
food-hygiene manager
medical_detail:
…(health-check results)
↓ all of it goes to the AI / outside
With Lemma
Hand over just the facts
holder:
did:lemma:staff-S345
issuer:
did:lemma:authority-jp-mhlw
jurisdiction:
JP
licenseType:
work-fitness
disclosed:
[isHealthChecked, hasFoodHandlingCert, validUntilYear]
hidden:
[staff_name, medical_detail, training_detail]
attestation:
fit for work
ZK verified:
✓ VALID
↓ only the necessary facts to the AI

Staff present only a proof that they "meet the required health checks, training, and qualifications (work-fitness)." The contents of medicals and attendance aren't disclosed. From issuer-signed attributes (medical, training, certification bodies), only fitness satisfaction is shown. Assignment and audit verify without contents, and expiry is trackable.

(Lawful handling of special-category health data — consent, retention — is assumed; designed with legal.)

See the technical details ↗
03 · HOW TO CHOOSE

Choose on three criteria.

Only work that needs all three at once — pass without exposing, independent verification, tamper-proof — is Lemma's domain.

Method Pass without exposing Independent verification Tamper-proof
Access control only
Masking / anonymization
Encryption only
Lemma (ZK proof)the only one with all 3
04 · HOW IT WORKS

What's next

We enter through AI-adoption and data-governance support and a PoC, and stay alongside you through to operations.

  1. A 30-minute review — identify fitness checks where special-category-data storage / expiry management concentrates.
  2. Narrow to 1–2 decisions to prove — e.g. "stool-test negative valid," "special training completed." Not the medical contents.
  3. Design issuers, consent, and revocation — connection to medical/training/certification issuers; consent, retention, expiry (with legal).
  4. Prove one path via a (quote-based) PoC.
  5. Hands-on support from rollout through operations — existing plan tiers (Civic / Critical / Compliance) serve only as a cost reference; setup and pricing are designed together.

Tell us the one work-fitness check with the heaviest special-category-data storage, in the first 30 minutes. No disclosure of sensitive data required.

The bigger picture

The bigger picture this use case belongs to.

We map use scenarios across industries and workflows by the four axes.

See use scenarios for Regulatory Attribute in Solutions →

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