Uptake’s Acquisition of Asset Performance Technologies Adds Industrial Equipment Failure Data to Predictive Analytics

Category:
Acquisition or Partnership

Industrial AI software supplier Uptake announced that it has acquired Albuquerque-based Asset Performance Technologies, Inc. (APT) for an undisclosed amount.  The acquisition provides Uptake with the world's most comprehensive library of industrial equipment failure modes used for preventive and conditions-based maintenance optimization in power generation, petrochemical, oil and gas, steel, and other industries.

APT's SaaS product, Preventance APM, leverages the company's Asset Strategy Library (ASL), which has failure mode information for nearly 800 equipment types and helps industrial customers implement advanced maintenance strategies.  This results in increased operational uptime and plant reliability while reducing operations and maintenance costs.  The software dynamically adjusts to changing operating conditions, plant requirements and economic market conditions.

APT's Asset Strategy Library is already the "intel inside" (the brains) for asset performance management products in the market today.  Uptake will leverage the ASL to build not just static digital twins but learning digital twins that get better every day.  This data supercharges Uptake's industrial asset graph, mapping how subsystems, components and machines across the industrial world relate and work with each other.

APT's co-founders, Dr. David Worledge and Glenn Hinchcliffe, began developing condition and environment-specific preventive maintenance information on nuclear plants in the late 1990s for the Electric Power Research Institute (EPRI), the electric utility industry's research arm. That work was the genesis of the ASL.

Mike Guilfoyle, ARC Advisory Group, commented, "Even though they produce massive amounts of data, industrial companies often lack key inputs needed to optimize assets and extend their life cycles.  Without that, operations struggle to understand what to do and when.  By combining deep operational and equipment knowledge with predictive analytics, companies can take a proactive approach to asset management that converts data into business value, reducing capital outlays, and leading to efficiencies, safer operations and greater reliability."

 

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