Hexagon

Hexagon builds AutoCFM conversational FinOps agent on Amazon Bedrock

Hexagon · Cost governance · AWS

Hexagon built AutoCFM, an internal FinOps platform that normalizes multi-cloud billing and generative AI usage data into a common data model and provides dashboards and conversational querying. An embedded Claude Sonnet agent on Amazon Bedrock generates SQL against the shared Amazon Athena data lake and responds in plain language.

Hexagon accelerates AI model production with Amazon SageMaker HyperPod

Hexagon · AI model training · AWS

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 · Code assistant · Microsoft

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.

AgenticProduction

Hexagon and Microsoft revolutionize manufacturing collaboration

Hexagon · Collaboration assistants · Microsoft

Hexagon has partnered with Microsoft to improve data sharing in the manufacturing sector through Azure Fluid Relay Service and integrated manufacturing systems. Teams utilize Microsoft Teams and Hexagon tools to access real-time CAD data and simulations. Generative AI models are applied for better workflows and engineering simulations. The initiative leverages Azure’s high-performance computing for rapid manufacturing processes.

Production

Hexagon Transforms Industrial Data Management for Manufacturers

Hexagon · Legal document automation · Microsoft

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.