HubHead Expands its Vertical AI Capabilities with Acquisition of DataSeer Inc. Assets

Author photo: Inderpreet Shoker
ByInderpreet Shoker
Acquisition or Partnership

In a strategic move to bolster its vertical AI capabilities for asset-intensive industries, HubHead Corp. announced its acquisition of the assets of DataSeer, Inc. The acquisition adds to HubHead’s portfolio of tools focused on using AI and machine learning to improve asset and maintenance master data and assisting asset-intensive businesses in digitizing data to create digital twins. HubHead’s software improves the effectiveness of their customers’ Enterprise Asset Management (EAM) and CMMS solutions.

Vertical AI Capabilities

As a frontrunner in the application of AI to enhance asset and maintenance master data quality, HubHead is dedicated to collaborating with customers to provide innovative software-as-a-service (SaaS) solutions. AI makes it easier for asset-intensive businesses to ensure their maintenance and operations, and EAM solutions are more efficient, reliable, and prepared for future initiatives.

HubHead has used DataSeer with its NRX AssetHub solution to extract engineering tags from P&IDs to help customers cost-effectively build high-quality EAM/CMMS data. It is used to create digital twins, adopt industry standards like ISO 14224, prepare for operational readiness at new capital projects, enhance asset and maintenance master data prior to migrating or upgrading to new EAM/CMMS solutions, and other applications that create the foundation for operational excellence.

HubHead will offer the DataSeer SaaS solution to engineering firms, system integrators (SIs), EPCs, asset-intensive businesses, and others with a need to scrape P&IDs to extract high-quality actionable asset data.

Inderpreet Shoker, ARC Advisory Group, commented, "As more and more organizations are strengthening their digital transformation initiatives, they are realizing the importance of quality data. However, it is common for many manufacturers to have missing, wrong, or incomplete information about equipment. With DataSeer’s ability to successfully extract engineering tags from P&IDs, HubHead is in an excellent position to help their clients address the data gap challenges and enhance their asset management endeavors."


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