PSIS is being developed to support contamination assessment, uncertainty-aware site decisions, targeted sampling, routing support, and audit-ready reporting across soil workflows.
Decision-support software for PFAS site investigation and remediation planning.
Generate contamination and uncertainty surfaces, delineate hotspots with confidence, and receive targeted next-sample recommendations.
Get confidence-aware provisional routing before full lab turnaround. Refine decisions when final chemistry arrives.
Clearly separate measured from inferred values. Produce reproducible, audit-ready outputs for regulatory review.
PFAS decisions are made under difficult conditions: sparse data, threshold-sensitive outcomes, heterogeneous site conditions, and increasing pressure for transparency, defensibility, and cost control.
Traditional investigation approaches were not designed for contaminants with this complexity. Teams need better tools to characterize uncertainty, prioritize sampling, and support defensible decision-making.
PSIS supports iterative site investigation, from initial characterization through remediation planning.
Import existing sample data, site boundaries, and relevant contextual layers. PSIS normalizes formats and flags quality issues.
Spatial modeling generates contamination surfaces, uncertainty estimates, and candidate hotspot zones for technical review.
Identify high-value follow-up sampling locations that can reduce uncertainty more efficiently. Prioritize based on decision relevance.
As new data arrives, models update. Uncertainty surfaces sharpen. Decisions become more defensible over time.
PSIS is being developed to combine spatial statistics, machine learning, and decision-support logic for PFAS site characterization.
PSIS is being developed around kriging, ensemble machine learning, and uncertainty-aware decision logic for PFAS site characterization.
The target workflow is designed to expose prediction uncertainty so teams can see where model support is stronger and where confirmatory sampling is still needed.
The target workflow includes adaptive sampling logic to help prioritize locations where additional data is expected to be most decision-relevant.
Clear separation between measured and inferred values, reproducible methods, and documentation suitable for technical review.
PSIS is being developed for professionals making decisions about contaminated sites.
Can support more efficient site investigation, reduce re-mobilization, and deliver defensible characterization reports.
Gain clarity on contamination extent, remediation scope, and long-term monitoring requirements before committing resources.
Evaluate submissions with clearer uncertainty documentation, reproducible spatial analysis methods, and clear distinction between measured and inferred outputs.
Built on research from leading institutions
We work with consultants, site owners, and research partners on the next stage of PFAS decision-support workflows.