Company
Build controls
that stay connected to reality.
unFragged builds control architectures for AI systems operating across changing state, evidence, authority, and time.
I found unFragged backwards.
I separated my AI-assisted work into distinct lanes so one lane’s evidence or authority could not stand in for another’s. The same problem kept surfacing anyway: state, authority, evidence, and objectives can stop being valid while the work continues. DVS became the first commercial answer to that broader continuity problem.
I founded unFragged, an independent software company building control architectures for AI and automated systems that take consequential actions. I spent roughly a decade in logistics operations, ultimately as a dispatch supervisor responsible for scheduling, load coordination, training, and operational documentation, work where record accuracy carried real consequences.
I hold associate degrees in Warehousing & Logistics (summa cum laude) and Business Administration (cum laude), which I completed while working full-time. My earliest academic focus was psychology and child development, an interest that continues to shape my research work.
I organize my work around a single discipline: claims follow evidence, and every project carries explicit limits on what its current results do and do not establish.
On record
A filing does not establish a granted patent.
Build with unFragged
Bring one workflow. Build the evidence together.
Establish the strongest competent baseline. Integrate where a residual control gap remains. Measure the delta. Keep a clean negative result if the existing stack already solves it.
Partner with unFragged