Praemo Joins Partners in THINC
The company’s Razor technology connects to data sources like machine tools and provides information and recommendations for preemptive action reducing machine downtime and process optimization.
Share
Okuma America Corp. has announced that Praemo, an applied IIoT (Industrial Internet of Things) and AI company, has joined Partners in THINC. Praemo combines industry experience with IIoT and AI expertise to help customers increase productivity while reducing costs.
Praemo’s Razor product securely connects to data sources and gathers pertinent information. With the help of predictive analytics and prescriptive intelligence, production disruptions can be detected before they happen, the company says. Razor provides insights and suggested recommendations to help customers take preemptive action to reduce equipment downtime, optimize production processes and manage risks. The company says that its Razor technology will augment Okuma’s existing machine tool capabilities.
“Partners in THINC is excited to have Praemo join our partnership. They provide leading-edge, real-world solutions to our customers. Their technology allows our customers to tap into the benefits of AI and IIoT to maximize the full benefits of their manufacturing processes,” says Wade Anderson, Okuma Product Specialist and Tech Centers Manager.
Members of Partners in THINC provide technologies that are integrated with Okuma’s CNC machines and controls to deliver advanced manufacturing system solutions.
Related Content
-
Machine Monitoring Boosts Aerospace Manufacturer's Utilization
Once it had a bird’s eye view of various data points across its shops, this aerospace manufacturer raised its utilization by 27% in nine months.
-
Reinventing a Precision Shop With a Data-Driven Mindset
When this machine shop lost 90% of its business within three months, a reinvention was in order. Here's how it survived after quickly falling on hard times.
-
Protecting Your Automation Investments
Shops need to look at their people, processes and technology to get the most of out their automation systems.
