DNV GL streamlines maritime certification with AI-powered solutions
DNV GL, a global leader in shipping certification, partnered with Crayon to leverage artificial intelligence and machine learning for operational efficiency. The collaboration sought to address complex, labor-intensive processes such as estimating ship inspection times and managing technical documentation across vast archives. By implementing Microsoft Azure Machine Learning, DNV GL automated time estimation for inspections, and developed algorithms to match technical documents spanning 150 years of records. The joint initiative resulted in over ten machine learning solutions being deployed in production, significantly reducing the manual workload of experts and accelerating business processes. The partnership also established an AI Center of Excellence, facilitating a robust community of practice and furthering AI-driven innovation internally and for commercialization. Crayon’s recruiting strategy, focusing on aptitude and cross-disciplinary skills, supported the rapid expansion of its AI team and the scale of impact on DNV GL’s business transformation. By systematically applying data science and machine learning, DNV GL strengthened its global service offerings and exemplified the practical benefits of AI in the maritime industry. Their joint journey has positioned both companies at the forefront of digital transformation for industrial certification and compliance.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- DNV GL
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- partner.microsoft.com
DNV GL, a global leader in shipping certification, partnered with Crayon to leverage artificial intelligence and machine learning for operational efficiency
Primary read
Use case focus
Showing 3 of 3
- 1Automated ship inspection time estimation using ML
- 2Technical document matching and retrieval with AI
- 3AI Center of Excellence for maritime operations
- Developed and deployed machine learning algorithms using Microsoft Azure Machine Learning for inspection time estimation.
- Automated technical document matching across large historical archives with ML tools.
- Created an AI Center of Excellence to drive innovation and build internal AI capabilities.
- Scaled up recruitment and training for AI/data science roles, including hiring cross-disciplinary experts.
- Over 10 ML solutions in production, streamlining business processes.
- Significant reduction in manual expert workload for document and inspection management.
- Strengthened DNV GL’s reputational leadership in AI adoption within maritime certification.
Architecture
Customer data and technical documents are processed using machine learning models built and trained on Microsoft Azure Machine Learning. Automated estimation modules and document matching algorithms interface directly with DNV GL’s operational systems. Outputs are consumed by DNV GL staff and inform certification workflows, showcasing a full AI lifecycle from data ingestion to business decision support within an integrated Azure environment.
Implementation partners1
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
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