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Justin Daarud

Director of Asset Integrity, Reliability, and AI

I grew up in Boulder, Colorado’s Front Range, a lifelong Broncos fan who spent winters skiing and summers exploring the Rockies. A self-directed, learn-at-your-own-pace high school let me complete three years of coursework in two before I transferred to a Christian school for my senior year. It taught me early that setting goals, working hard, and pushing through adversity pays off, and I have relied on that lesson ever since.

At Walla Walla University I met my wife, Andrea, and earned my engineering degree in 2007. I moved to Austin to begin my asset integrity career at Lloyd’s Register as an Equipment Specialist and soon stepped into a project management leadership role. In 2010, LR gave me the opportunity to launch its Canadian integrity business in Calgary, Alberta.

Andrea and I married shortly after I took on Calgary, and for several years we built two careers in parallel: her post-doctoral research and my expanding role at LR. We lived in Seattle and Chicago while I commuted to Canada, then settled in Seattle after our first son was born. When I was promoted to President, leading LR’s integrity business across the Americas, we moved once more, to Houston. Leading that business sharpened my technical judgment, my commercial instincts, and my leadership, and it gave me tools I still rely on every day.

At the beginning of 2019, I joined Cognascents, drawn by its leadership and the chance to return to a smaller company built on teamwork. My work spans offshore, upstream, midstream, downstream, and petrochemical operations. Overall, I’ve led, managed, executed, and consulted on over 300 integrity and reliability projects ranging from onsite training to multi-facility execution and management. Today, as Artificial Intelligence, Asset Integrity, & Reliability Director, I am building solutions our industry has never had.

Most AI in our field reads documents and writes summaries. The harder problem, and the one I chose, is capturing the engineering judgment itself. That logic cannot be bought off the shelf; it has to be written by someone who practices the discipline. I design and deploy purpose-built, agentic AI systems that encode how an integrity engineer evaluates problems, in a form that holds up when an auditor asks why.

All our AI systems run on live integrity programs, and engineers review, endorse, and own the result.

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