KUKA
Robot programming
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
- Up to 80% reduction in simple programming time
Navigating 27,000 technical options took 20 minutes per item. AI now translates natural language requests into valid specs in one minute.
A leading industrial connector manufacturer offers over 27,000 product options powering infrastructure ranging from EV charging stations to datacenters.
Customers lacking technical vocabulary struggled to navigate the complex catalog, while manual configuration processes took 15 to 20 minutes per...
“We have been creating connectors for 80 years, and we are always interested in what’s next.”
HARTING's Product design and configuration is part of this use case:
Industrial connectivity solutions and connectors for automation, energy, and robotics.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Worked with HARTING to build the modular architecture and integrate its NX and Simcenter software.
Related implementations across industries and use cases
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Email orders took 42 hours to process across five systems. AI agents now parse files and trigger ERP actions in under one minute.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
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.
Navigating 27,000 technical options took 20 minutes per item. AI now translates natural language requests into valid specs in one minute.
A leading industrial connector manufacturer offers over 27,000 product options powering infrastructure ranging from EV charging stations to datacenters.
Customers lacking technical vocabulary struggled to navigate the complex catalog, while manual configuration processes took 15 to 20 minutes per...
“We have been creating connectors for 80 years, and we are always interested in what’s next.”
HARTING's Product design and configuration is part of this use case:
Industrial connectivity solutions and connectors for automation, energy, and robotics.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Worked with HARTING to build the modular architecture and integrate its NX and Simcenter software.
Related implementations across industries and use cases
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Email orders took 42 hours to process across five systems. AI agents now parse files and trigger ERP actions in under one minute.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
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.