Increase production throughput. Improve product quality. Lower operating costs.
Uptake’s pre-trained industrial analytics models are configured for manufacturing and combine material, process, and equipment data to optimize production and maintenance. Backed by a powerful Industrial AI platform built on world-class data science and machine learning.
Benefits
Drive operational efficiency and productivity.
Improve Overall Equipment effectiveness (OEE), drive world-class productivity and enable continuous improvement with Industrial AI and machine learning. Further reduce process and product variation and leverage better insights for immediate action.
Benefits
Optimize labor
and energy costs.
Decrease unplanned downtime and hit production targets, reducing the need for overtime or resources for production capacity surges. Predictable production drives more confidence in capacity planning and an optimized financial operating model.
Benefits
Improve the quality
of your product.
Detect and resolve anomalies and defects earlier in the process, ensuring world-class quality leaves the dock. Machine learning anomaly detection is a closed-loop detection process that improves first-pass yield, reducing raw material spend, scrap and non-value-add rework costs.
Benefits
Increase asset availability
and reliability.
Improve the work balance of assets and reduce costs associated with idling, starving or blocking equipment. Financially optimize maintenance strategies, applying preventive, predictive and prescriptive maintenance where it drives the most value for the operation.
Make data-driven decisions.
Equipment Analysts reduce unplanned downtime, improve asset performance and make the right repairs, faster.
Production Managers improve underlying operation productivity and access technology to make the smart factory operate safely, efficiently and effectively.
Quality Control Engineers identify root cause and top contributors to quality issues, reducing product lost to defects or deviations.
Uptake Manufacturing Products
Manufacturing Case Study
$6.9M per Year Through Predictive Analytics for a Leading Auto Manufacturer.
In the face of ever-changing consumer demand and economic uncertainty, operational excellence enabled by advanced analytics has become a key to success in the automotive industry. Uptake helped a leading auto OEM tackle the challenges of managing vast amounts of data from various systems and deployed Uptake Radar to create tangible value.
Turn data into Industrial Intelligence
Uptake's applications are the backbone of the smart factory and create new opportunities that haven't existed before.
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