About
We turn environmental data into decisions.
Envorythm exists to bring rigorous environmental science into the AI era — without losing the rigor.
Mission
To transform environmental data into actionable insight using science-driven AI and advanced modeling.
Who We Are
A team combining expertise in environmental science, hydrology, GIS, and machine learning — built to deliver work that holds up to scientific and regulatory scrutiny.
Who We Serve
Government agencies, utilities, environmental consultancies, industry, and research partners working on complex water and contaminant problems.
Why Envorythm
Science-first
We use AI where it strengthens evidence — not as a substitute for understanding.
Regulatory-relevant outputs
Deliverables designed for agencies, permits, and compliance pathways.
Transparent, reproducible methods
Documented workflows. Explainable models. Auditable code.
Scalable from site to watershed
Same methods, whether you're studying a stormwater outfall or a basin.
Founder
Meet the founder
Shahin Alam, PhD
Founder & Principal Scientist
Dr. Alam founded Envorythm to bridge environmental science and modern data science. His work spans water quality, emerging contaminants (PFAS, microplastics), watershed and hydrologic modeling, GIS, and machine learning for environmental risk prediction.
He integrates field data, geospatial analysis, and AI/ML to support smarter decisions on water resources, contamination assessment, public health protection, and environmental management.