About the principal
Built by someone who ships.
Alamo St Advisors is led by JC Davis, an independent advisor in Austin, Texas who builds and ships AI product systems — embedding-map games, forecasting models, agentic systems, and data pipelines that run on real data at full scale.
The work is the credential. Production machine-learning systems, rigorous held-out evaluation, and products people actually use — the same discipline advisory engagements get, pointed at your hardest decisions.
Engagements are deliberately limited: a few teams at a time, and you work directly with the principal throughout. No bench, no handoffs, no juniors learning on your budget.
Public work
The work behind the advice
A sample of production systems built and run by the principal — public work you can inspect before you ever start a conversation.
Vector Hoops — an embedding-map game (opens in a new tab)
A basketball strategy game played on a live 3D embedding map of 12,966 player-seasons: daily guessing games, pack battles, a twenty-questions mode, all served from one champion embedding model with rigorous held-out evaluation.
Embedding Atlas — layered 3D data maps (opens in a new tab)
One 3D map, many layers: aircraft, ships, satellites, earthquakes, launches, plus jobs and wages across 393 US metros on real labor data — switchable, combinable layers over live feeds.
Forecasting models (opens in a new tab)
Multivariate time-series forecasting with modern foundation models — trained, held-out evaluated, and shipped behind live product features, never demo-ware.
Production data pipelines (opens in a new tab)
Ingestion and quality gates over real sources at full scale — labor statistics, sports data, research papers — with honest failure modes at every step of the pipeline.
Begin
Tell us what you’re trying to build.
A short note about your team, your data, and the decision you’re stuck on is the best way to start. You’ll hear from the principal, not a sales team.
Start a conversation