IFS showcased the next wave of AI innovation at its Industrial X Unleashed event. IFS shared its vision, demonstrated specific applications of IFS.ai in action within an industrial setting, as well as unveiled partnerships through applied customer examples.
Driving growth in Industrial AI IFS showcased partnerships with some of the fastest-growth AI companies looking for further expansion by applying their capabilities with IFS.ai to the hardcore industries that IFS serves including aerospace and defense, energy, engineering and construction, manufacturing and more.
Specific examples highlighted from the following areas included:
- Frontier AI Models: a partnership with Anthropic saw IFS Nexus Black launch Resolve, powered by Claude, as the first of many new IFS solutions that puts industry-specific AI directly into the hands of frontline workers to transform work and rapidly deliver value. Resolve enables customers to predict and prevent faults faster by interpreting multi-modal data such as video, audio, temperature and pressure, and complex schematics. The scenario was demonstrated through a real-world customer use case, William Grant & Sons – the world’s largest independent distiller.
- Physical AI and Robotics: a collaboration with Boston Dynamics was used to demonstrate how physical AI and robotics can leverage IFS’s industrial AI within a utility setting. Customer Eversource, New England’s largest energy delivery company, spoke to the many scenarios being planned to improve efficiency and service to the 4.4 million homes it serves. IFS’s partnership with robotics manufacturer 1X Technologies also was announced. The partnership also opens the opportunity for 1X Technologies to take their humanoid robots into industrial settings.
- Grid and Power: A partnership with Siemens Grid Software was announced, using IFS.ai to re-architect tomorrow’s intelligent autonomous grid through asset investment planning and grid infrastructure upgrades.
What this Means for ERP Insiders
IFS’s partnerships with leading AI firms signal a shift toward industry-specific, multimodal intelligence embedded directly in ERP workflows, enabling faster fault prediction, reduced downtime and more autonomous frontline decision-making.
Combining AI with robotics illustrates how ERP platforms will have a greater role in orchestrating physical automation, linking asset data, robotic workflows and field operations into unified, self-optimizing processes.
The collaboration with Siemens demonstrates how ERP, EAM and AI can jointly re-architect asset investment planning, helping ERP teams support predictive upgrades. It’ll also have an effect on future autonomous grid management across complex infrastructure environments.
