IFS Partners with Anthropic to Launch Industrial AI Platform Resolve
At the IFS Industrial X Unleashed event, IFS Nexus Black and Anthropic announced a partnership to create industrial AI solutions, according to a press release. The collaboration combines IFS’s industry expertise with Anthropic’s AI models to support operations in high-stakes sectors such as aerospace, manufacturing, and energy.
The first product from the partnership, called Resolve, integrates Anthropic’s Claude model to analyze equipment images, sensor data, and inspection reports to predict and prevent failures. The tool is designed to help technicians and field workers identify issues before they cause downtime.
William Grant & Sons is already using Resolve to optimize maintenance and reduce emergency repairs. The company reported that the system has significantly decreased unplanned downtime and is projected to save £8.4 million annually once fully operational.
IFS Nexus Black and Anthropic are also applying Resolve to disaster response. The AI assists planners by predicting impact zones, directing technicians to priority sites, and recommending repairs based on captured video or images. Utilities using the system have reported restoring power 40% faster after major weather events.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
Industrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Anthropic Picks Accenture for AI Safety Testing
I-care Acquires Amiral Technologies for Predictive Maintenance AI
ITRI Shows AI Network and Drone Systems at ICT TechDay
IFS Survey Finds Utilities Prioritize Grid Resilience and AI
Forge Commits $30 Million to Deploy Private AI Systems With webAI
Daily AI Brief: the AI news that matters, in your inbox.