HARTING
Product design and configuration
Navigating 27,000 technical options took 20 minutes per item. AI now translates natural language requests into valid specs in one minute.
- Configuration time cut from 15-20 mins to 1 min
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.”
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
Navigating 27,000 technical options took 20 minutes per item. AI now translates natural language requests into valid specs in one minute.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Technical queries forced sales teams into follow-up meetings. AI now provides answers live, cutting onboarding time by 50%.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Staff spent an hour manually converting each of 1,500 Excel files. AI now extracts that data into structured job plans.
IT staff logged in every six hours to check 30 systems. GenAI now automates monitoring, saving 3,000 hours and ending downtime risk.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.