API 579-1 / ASME FFS-1 Fitness-for-Service
API 579-1 / ASME FFS-1 Fitness-for-Service
June 24 @ 9:00 am – June 27 @ 5:00 pm
$3810
Equity Announces New Corporate Structure and Branding to Drive Growth and Innovation
SHAKER HEIGHTS, OH, January 28, 2025 – Equity Technology Group, Inc. (Equity) announces organizational and brand changes to support future growth and innovation across the company. These changes mark an…
The Future of Inspection Scheduling Manages Active Damage
E2G is focused on delivering innovation and new technologies that will help the industry move forward towards safer and more reliable facilities. Today is no exception. In the latest issue of the Inspectioneering Journal, David A. Osage contributed an article highlighting E2G’s new inspection scheduling methodology that will reshape asset integrity and equipment lifecycle planning and management.
- Software ·
Quarterly E²G Software Update – Q1-2023
Our team is diligently working on enhancing our existing software and developing new tools. In this newsletter, we are highlighting a few of the new tools. Please reach out with any…
Expanding Presence in Gulf Coast Region
We are pleased to announce that we are increasing our physical presence in the greater Houston region with a new office in Katy, TX. E²G’s expanded presence will provide locally based advanced fitness-for-service (FFS) and mechanical engineering expertise to our clients in the Gulf Coast and South Central regions. As pioneers of FFS technologies and lead investigators of API 579-1/ASME FFS-1, it is important that we grow our capabilities and service offerings to companies based in and around the global energy capital.
- Software ·
Award of $1.5M Department of Energy Grant for Development of Next-Gen Explainable AI
E²G has received a $1.5 million U.S. Department of Energy (DOE) grant for the Phase II expansion and commercialization of its explainable artificial intelligence (XAI) technology for the aging energy industry. E²G is developing BENGI (Bayesian Engine for Insights) to enhance and automate complex operational lifecycle decision-making when faced with uncertain and/or incomplete information.