Engineers spent 2–3 days manually tagging complex diagrams. AI now extracts that data in under an hour, improving accuracy.
A global technology provider specializing in industrial data and automation for manufacturers with engineering datasets reaching tens of terabytes.
Engineers spent two to three days manually configuring and extracting tags from complex piping and instrumentation diagrams. The legacy on-premises...
“We chose to build the SDx2 platform with Azure AI Foundry for its maturity, comprehensive support for the entire AI development lifecycle, and seamless integration capabilities. The ready-made services in Azure helped us reduce our development efforts and technical debt, allowing us to get to market faster.”
Hexagon's Industrial document processing is part of this use case:
Sensor, software, and autonomous technologies for industrial and geospatial sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Manually reviewing risk controls bottlenecked compliance. Now, an AI tool rewrites and standardizes entire document repositories.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Engineers spent 2–3 days manually tagging complex diagrams. AI now extracts that data in under an hour, improving accuracy.
A global technology provider specializing in industrial data and automation for manufacturers with engineering datasets reaching tens of terabytes.
Engineers spent two to three days manually configuring and extracting tags from complex piping and instrumentation diagrams. The legacy on-premises...
“We chose to build the SDx2 platform with Azure AI Foundry for its maturity, comprehensive support for the entire AI development lifecycle, and seamless integration capabilities. The ready-made services in Azure helped us reduce our development efforts and technical debt, allowing us to get to market faster.”
Hexagon's Industrial document processing is part of this use case:
Sensor, software, and autonomous technologies for industrial and geospatial sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Manually reviewing risk controls bottlenecked compliance. Now, an AI tool rewrites and standardizes entire document repositories.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Manually coding product packages took four minutes each. Now, AI extracts and validates details, scaling globally without local staff.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.