Live
generate-data.com
Synthetic test data for systems that fail on tidy demos.
Independent AIand technologyresearch lab
We study hard problems in intelligent systems that have to work under real operational pressure, then turn what we learn into tools.
- 2025
- Founded
- 4
- Active projects
- 3
- Live tools
How we operate
From research to projects
“We build where we see a gap, without forcing teams into locked platforms.”
Smith Advanced Systems studies hard problems in intelligent systems and applied software that have to work 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, then ship software meant to be owned by the teams who run it.
Research and development
We study complex problems that intelligent systems face in production: real load, messy inputs, and real operational consequences. Through experimentation and prototyping, we build a ground-level understanding of the constraints. The right tools follow from that understanding.
Projects and tools
Out of that research comes a portfolio of software projects: agent orchestration, applied ML products, and supporting tools that integrate into existing stacks and can stand alone as independent companies.
Portfolio
What we're building inside the lab
Live
entitymodel.com
Free, open-source data modeling and ER diagrams in your browser.
Live
skailr.io
Your work, in a folder you own.
In development
olios.io
Agentic financial intelligence.
Latest notes
All insightsEvaluating intelligent systems honestly
Matching pipelines, scoring models, and agentic systems all fail on the same class of case: the messy one a tidy demo never shows you.
Ontology-based financial intelligence: structure before signal
Ad-hoc scraping gives you text about the market. An ontology gives you a structure you can query, reason over, and eventually act on.