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About

BNF Technology is a software company that specializes in providing meaningful operational insights to the process plant industry through its software and services. Since 2000, BNF Technology has developed intelligent software to transform industrial equipment data into meaningful insights. By utilizing advanced technology, BNF has assisted more than 300 units globally in improving operations and maintenance.

What We Do

We help our customers achieve operational excellence by providing innovative technology backed by years of experience in machine learning, advanced pattern recognition, data management, predictive maintenance, and customer care.

BNF Technology solutions help organizations move towards digitalization and viewing data as a corporate asset. By turning data into actionable intelligence, organizations reduce costs, improve efficiencies, and increase safety.

HanPrism
HanPrism, a high-performing plant information system, displays equipment data quickly and easily without distortion. It accurately collects, stores, and analyzes vast amounts of real-time and historical plant operation data. It allows you to access plant data anytime and anywhere and provides visualization tools for additional analysis. With HanPrism, you can collaborate at an organization-wide level with the right information at the right time and make strategic, data-informed decisions.

HanPHI
HanPHI, a predictive analytics solution, warns you of potential failures that can develop into catastrophic failures by comparing real-time data with expected data. Machine learning models calculate expected values based on past normal plant operation data and correlated equipment data. HanPHI provides condition-based early warnings to prevent functional failures by identifying plant sensor abnormalities, equipment degradations, and irregular operational conditions.

Keywords

data infrastructure, data management, predictive maintenace, industrial automation, data historian, predictive analytics, asset performance management

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Business Info

94
2000
$34.6M

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