Company
Donella Dawn Cohen and I co-founded MLNavigator to build AI systems for regulated environments — teams in healthcare, defense, and finance who need to review what the system did and why.
Research Group
MLNavigator
Research System
adapterOS
Goal
Reviewable AI
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Get in touch
Research Group
MLNavigator is a research group focused on AI that can be inspected, governed, and explained after it runs. Current work includes NSF I-Corps cohort participation and Kansas ACCEL grant-funded research on local-first AI systems.
Visit MLNavigatorResearch System
adapterOS is the core research system: local model execution on hardware teams control, cryptographic records of what ran and why, and audit trails that survive the deployment. It's designed for environments where 'it worked' is not enough — you need to explain how and prove it later.
Open adapterOSResearch Focus
The core question: how can a regulated team run AI on their own hardware and still prove what it did when they're asked later? The answer requires local execution, tamper-evident logs, and deployment paths that don't require trusting a vendor's word.
Technical details and build notesNext
Interested in research collaboration, regulated AI deployment, or building systems that can be reviewed after they run? The team is small and focused. Reach out.