WHEN ENVIRONMENTAL SITE ASSESSMENT IS CRITICAL - Rapid Site Development | ML Can Help
Increase Predictability of Site Conditions
Reduce the Cost of Assessment
Save Time Through AI Machine Learning Technology
KLEINFELDER CAN SPEED UP SITE ANALYSIS AND REDUCE COSTS
For property owners, investors and developers, investigating the environmental risk of a project site is essential to understanding the feasibility of moving forward. Unforeseen liabilities and environmental issues can stall a project causing schedule delays and costly spending due to site contamination risk.
RAPID SITE DEVELOPMENT | ML – A NEW TECHNOLOGY APPROACH
Rapid Site Development | ML, powered by Azimuth1’s machine learning (ML) technology, EnviMetric®, is a technology that streamlines and enhances site development and acquisition for property owners and developers. Kleinfelder can now rapidly and cost effectively provide our clients with a robust understanding of the liability and costs associated with a potential investment as well as identify the corrective measures required to clean up a site.
Rapid Site Development | ML is a predictive modeling tool that estimates the extent and magnitude of groundwater contaminant plumes. Through machine learning techniques and a proprietary database of over 100,000 contaminated sites from across the US, the technology can rapidly provide accurate results by applying a machine learning approach which requires minimal site-specific data.
REDUCING PROJECT DEVELOPMENT LIFECYCLE AND COSTS
By enhancing our environmental services with Rapid Site Development | ML, Kleinfelder provides site developers with increased confidence that their development project will not encounter unforeseen groundwater contamination issues that threaten the overall financial viability of the project.