generate-data.com
Synthetic test data for systems that fail on tidy demos.
We study hard problems in intelligent systems where they show up under real operational pressure, then turn what we learn into tools.
How we operate
“We build where we have felt the gap ourselves, without forcing teams into locked platforms.”
Smith Advanced Systems studies hard problems in intelligent systems and applied software where they show up under real operational pressure, then turns what we learn into tools and research projects.
Fragile automation, brittle model workflows, and systems that look fine in demos and fail in production: those constraints shape what we research. We prototype with practitioners, then ship software meant to be owned by the teams who run it.
Portfolio
Synthetic test data for systems that fail on tidy demos.
Free, open-source data modeling and ER diagrams in your browser.
Your work, in a folder you own.
Agentic financial intelligence.
Matching pipelines, scoring models, and agentic systems all fail on the same class of case: the messy one a tidy demo never shows you.
Ad-hoc scraping gives you text about the market. An ontology gives you a structure you can query, reason over, and eventually act on.