Data Science

How data science provides a new view into PFAS contaminated sites
Anna Harrington

Azimuth1 adds hundreds of PFAS sites' data to the EnviMetric database.

Incorporating site-specific analytical data and machine learning to predict environmental site conditions.

Modeling using previously collected data and the EnviMetric machine learning algorithm to garner new insights for contaminated properties.

EnviMetric Data Insights from Over 85,000 Remediation Sites Across the United States
Daybreak Team

Growing our unique specialty in environmental data science.

NSF invests in Azimuth1 to bring AI and data analytics to environmental cleanup
Jason Dalton

We're applying machine learning and big data analytics to create useful models for the size, shape, and concentration of underground contaminants in the soil and groundwater.