Hexagon
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Hexagon has 4 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 3 countries.
4
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Hyperscaler mix
See whether Hexagon's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Hexagon builds AI
Build / Buy / Compose across this company's documented cases
3 of 4 cases classified (75%) · Compare all use-case types
Use case portfolio
Use case types at Hexagon
AI model training leads with 1 of 4 documented cases; 4 distinct types appear across the visible portfolio.
Reported outcomes
2 cases report measurable results
−95%
Time & speed
median · 2 metrics
Medians of results published in Hexagon cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Hexagon uses across visible cases
Fine-Tuned Models appears in 2 of 4 indexed cases; 18 named technologies are mentioned, led by Azure OpenAI.
Technologies mentioned
All Use Cases (4)
Hexagon accelerates AI model production with Amazon SageMaker HyperPod
Hexagon, the global leader in measurement technologies, collaborated with Amazon Web Services to scale AI model production for point-cloud workflows.The company built a managed training environment to pretrain state-of-the-art segmentation models for built-environment and geospatial use cases, with an integrated data pipeline, compute cluster management, and MLOps monitoring stack.
Hexagon streamlines machine tool programming with AI automation
Hexagon’s Manufacturing Intelligence division has developed ProPlanAI, an AI-powered automation tool that dramatically reduces the time and expertise required to program machine tools.ProPlanAI uses Microsoft Azure OpenAI Service, Azure Cosmos DB, and Azure Databricks within Hexagon's Nexus cloud platform.This solution 'learns' from a company's historical programming data, enabling automated process planning and real-time suggestions directly within CAM software.The system supports manufacturers through co-pilot chat assistance that helps train new staff, provides real-time guidance, and preserves institutional knowledge, thus reducing risk from staff turnover.The platform is due for global public launch in Q1 2025 and supports scalable productivity in manufacturing environments.
Hexagon and Microsoft revolutionize manufacturing collaboration
Hexagon has partnered with Microsoft to improve data sharing in the manufacturing sector through Azure Fluid Relay Service and integrated manufacturing systems. Teams utilize Micro...
Hexagon Transforms Industrial Data Management for Manufacturers
Hexagon, a global leader in industrial data and automation, faced a significant challenge: their manufacturing clients struggled to extract actionable insights from complex engineering documents and disconnected legacy systems, slowing decision-making and project delivery. To address this, Hexagon's Asset Lifecycle Intelligence division rebuilt its SDx platform as a modern SaaS solution called SDx2 on Microsoft Azure.By integrating Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure SQL Database Hyperscale, Hexagon's new platform automates the processing, analysis, and visualization of vast volumes of engineering data. The move to a multitenant, cloud-native architecture enabled automated, scalable data workflows and real-time analytics.Microservices architecture with AKS ensures fast, dynamic scaling and zero-downtime deployments, while elastic pools in Azure SQL Database Hyperscale handle terabytes of industrial data seamlessly. AI-powered data contextualization in SDx2 drastically reduces manual processing time—from days to under an hour in some use cases—enhancing data quality and enabling advanced digital twin capabilities.Customers are benefiting from automated facility onboarding, accelerated deployment cycles, and robust data security thanks to role-based access controls and managed identity integration. With close support from Microsoft engineers, Hexagon was able to reduce development effort, technical debt, and infrastructure management overhead.Business impacts include over 90% reduction in facility onboarding time, millions in productivity gains, faster innovation, and improved compliance and data protection.
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