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Good practice Imported

Verify.gov.kh — Cambodia's AI- and Blockchain-Backed Document Verification Platform

Cambodia · Phnom Penh · See the Cambodia profile · See the Phnom Penh profile

Evidence: Descriptive / self-reported Top 14% 80/100 · Ask Evidence Copilot about this practice

Cambodia's MPTC-run Verify.gov.kh authenticates driving licences, degrees and IDs via QR codes, blockchain and AI. By 2026 it covered 16+ ministries and 31 institutions, verified 4M+ documents, saved an estimated $6M/year, and expanded to the Philippines and Timor-Leste.

>4 million
Documents verified (by 2026)
$6 million
Estimated annual savings
31
Educational institutions covered

Details

Maturity
Scaling
Promoter
Ministry of Post and Telecommunications (MPTC), Cambodia
Period
documented 2024–2026
Keywords
document verification, digital government, education credentials, cross-border services

Context

Cambodia needed a way for citizens and institutions to authenticate driving licences, degree certificates and IDs without visiting an office, as part of its Digital Policy 2022-2035.

Activities

MPTC built Verify.gov.kh, a QR-code, blockchain and AI-based document authentication platform, integrated with the DG SuperApp for services such as digital driving licences.

Results

By 2026 the platform reached 16-24 ministries and 31 educational institutions, verified more than 4 million documents, and is estimated to save about $6 million a year on Bac II certificate authentication alone across 100,000+ graduates.

Conclusions

The platform has expanded internationally (adopted for the Philippines' national ID system, launched in Timor-Leste, under way in Laos), but the AI component itself is not separately verified in public sources.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Long (> 3 years)
Staffing & skills
Ministry of Post and Telecommunications (MPTC), participating ministries and educational institutions

Conditions for success

  • QR-code integration on official documents
  • cross-ministry data-sharing agreements

Common failure modes

  • AI component not independently verified or broken out from the wider blockchain/cloud stack

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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