Built by physicists who code

Raindog AI is a technical consulting firm founded by two PhD physicists with a decade of experience building AI systems for research, startups, and Fortune 500 enterprises.

Zak Brown, Ph.D.

Zak Brown, Ph.D.

Co-Founder & AI Research Engineer

PhD in Physics from William & Mary, where he studied lattice QCD and computational particle physics. Over a decade of experience building NLP and AI systems across finance, legal tech, and enterprise SaaS. Has led ML teams at Kensho (S&P Global), Balto.ai, Capital One, and most recently Thomson Reuters Labs, where he built one of the first agentic AI research systems deployed to market.

Led development of S&P Global's first customer-facing generative AI product
Built agentic legal research systems at Thomson Reuters Labs
Founded RVATech Data Summit, Richmond's largest data & AI conference
Published lattice QCD research in Physical Review D
Katia Mastropas, Ph.D.

Katia Mastropas, Ph.D.

Co-Founder & AI Strategist

PhD in Physics from William & Mary, specializing in lattice QCD and meson spectroscopy. A data science leader with deep experience in insurance, financial services, and enterprise analytics. Previously Senior Director of Data Science & Analytics at Northwestern Mutual, and co-founded Charmdata, a business intelligence software company. Bridges technical depth with strategic leadership.

Led data science strategy as Senior Director at Northwestern Mutual
Co-founded Charmdata, a business intelligence software company
Co-organizer of Richmond Data Science Community (1,500+ members)
Published lattice QCD research and presented at international physics conferences

Our Approach

1

Ship working systems, not slide decks

2

Own the outcome, not just the hours

3

Teach while we build—no knowledge silos

4

Favor pragmatic solutions over perfect ones