About Statvis

Environmental expertise meets purpose-built AI

Statvis is built by environmental experts who spent decades working with contaminated sites. We built the AI system we wished we had—one that understands the domain as deeply as we do.

Our approach

What drives us

Veracity

Every answer grounded in your actual documents. No hallucinations, no fabricated sources.

Citability

Every claim traces to a source document and page. Click through to verify.

Knowledge mastery

Decades of site history, instantly queryable. Institutional memory that outlasts any individual.

Clarity

Complex environmental data made accessible. Plain language answers without losing technical precision.

Ease of use

Ask questions in natural language. No technical syntax, no training required.

Trust

AI assists, you verify. Professional judgment stays central to every decision.

Leadership

Meet the team

Paul Fuellbrandt

Paul Fuellbrandt

Co-Founder & Principal Environmental Scientist

20+ years developing closure plans for contaminated sites across Western Canada. Paul has led remediation projects for industrial, commercial, and government clients.

Dr. Court Sandau

Dr. Court Sandau

Co-Founder & Principal Chemist

PhD in analytical chemistry with expertise in forensics investigations, data validation, and biomonitoring. Court brings deep technical knowledge to environmental data interpretation.

Jordan Yeo

Jordan Yeo

Head of Product

Expert in AI and RAG systems with two decades of hands-on web development experience. Jordan previously led product teams at Jobber, bringing both technical depth and strategic product vision to Statvis.

See how Statvis works with your documents

Bring your documents. We'll show you what institutional memory looks like. Every document processed, every event cited, every insight traceable to its source.

Book a demo