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
-
Manufacturer, Integrator, Software Developer: Wolfram Manufacturing is a Triple Threat
Wolfram Manufacturing showcased its new facility, which houses its machine shop along with space for its work as a provider of its own machine monitoring software and as an integrator for Caron Engineering.
-
Protecting Your Automation Investments
Shops need to look at their people, processes and technology to get the most of out their automation systems.
-
5 Stages of a Closed-Loop CNC Machining Cell
Controlling variability in a closed-loop manufacturing process requires inspection data collected before, during and immediately after machining — and a means to act on that data in real time. Here’s one system that accomplishes this.