Head of Product & AI, Statvis
Jordan Yeo. Building AI that shows its sources.
Jordan leads product and AI at Statvis, from how documents are read to how every answer is checked.
AI is only useful here if you can check it.
Jordan Yeo has two decades of software development experience. Before Statvis he held a product leadership role at Jobber.
He specializes in AI and retrieval-augmented generation: systems that find the right passages in a large body of documents and answer from them. On contaminated sites that means scanned reports, lab certificates, borehole logs and site plans that were never written for a computer, and answers that have to be traced to a page before anyone will rely on them.
He also leads EnviroBench, the company’s benchmark for AI on environmental documents, so results are checked against real site records rather than assumed.
Writing and talks
- WorkshopRemTech 2026AI in Contaminated Sites Work: A Practical IntroductionCo-presented with Paul Fuellbrandt and Court Sandau. Jordan covered the foundational vocabulary and background, and worked through AI for documents with Paul.
- BenchmarkStatvisEnviroBenchA benchmark for AI on real environmental documents, which Jordan leads.
Talk to Jordan about AI on your site records.
Tell us what you want to find in your site files, or what you want to check before you trust a tool with them, and ask for Jordan. We’ll set up a call.
Take control of your contaminated sites.
Bring us one site's documents. We'll show you what's in them.