Brandon Smith
M.Sc., MBA, P.Biol, R.P.Biol., EP, QP.
President
Our advanced systems integrate deep learning algorithm outputs with weighted data analysis, seamlessly merging AI-driven computational speed with expert-driven precision. This fusion enables the rapid generation of liability estimates, enhanced by real-time AI processing and refined through rigorous validation by our team of scientists, technologists, and researchers—ensuring both accuracy and actionable intelligence.
Meet our team of Experts
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Mr. Smith is a human and ecological health risk assessor and a pioneering force in AI and machine learning applications for environmental liability assessment and remediation. From bustling urban developments to the remote high Arctic, his expertise in human and environmental health assessment has shaped cutting-edge strategies that redefine risk reduction. His work includes pioneering the use of predictive AI to assess site liabilities, recalculate regulatory guidelines, and design optimized end-use planning strategies, ensuring remediation aligns with cost-effective and sustainable redevelopment goals. Through advanced spatial interpolation techniques, and AI-driven contaminant migration modeling, he is redefining how data is used to make strategic environmental decisions. Mr. Smith’s innovative approach integrates predictive AI, machine learning models, and real-time data analytics to streamline liability assessments, optimize remediation strategies, and enhance regulatory compliance. His ability to harness AI-driven data intelligence has made him a sought-after leader in environmental liability reduction, helping organizations minimize costs, improve decision-making, and maximize asset value.
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James Fegverneki
B.Sc.Geomatics and Remote Sensing SpecialistWith over a decade of experience, James is at the forefront of AI and machine learning innovations in environmental consulting, mineral exploration, and renewable energy. His expertise lies in leveraging GIS, automation, and spatial data science to enhance environmental liability assessments, remediation strategies, and property divestiture modeling. James specializes in developing workflow automation scripts, advanced spatial data pipelines, and predictive modeling frameworks that integrate generative AI and ML-driven analytics into real-world applications. His ability to isolate key spatial patterns and optimize remediation modeling has been instrumental in transforming how environmental risk assessments are conducted. Beyond his professional impact, James brings a boisterous passion for spatial data science and innovative data visualization techniques that bridge the gap between complex environmental datasets and actionable intelligence. His forward-thinking approach continues to push the boundaries of how technology enhances real-time decision-making in environmental and industrial applications.
Additional Clear-Site Solutions
Site Remediation Solutions
We customize advanced in-situ remediation technologies to fit your site’s specific conditions, providing a turnkey, innovative solution that’s fully remote.
Clear-Site Solutions
We develop cost-effective strategies to reduce environmental liability. Our team of engineers, scientists and toxicologists provide world-class support to refine and minimize risks at your site.