Become a sponsor to Clinical Quant
Support Clinical-Quant's open source work
Clinical-Quant builds practical open-source AI tools focused on local LLMs, retrieval-augmented generation (RAG), privacy-first desktop applications, and real-world productivity systems.
The goal is simple: create useful software that people can run, learn from, modify, and benefit from without unnecessary complexity or lock-in.
Your sponsorship helps fund:
Continued development of open-source AI tools
New Electron desktop apps and local AI workflows
Better documentation and tutorials
Faster updates and feature releases
Experimental tools for research, analytics, and automation
If you value transparent, builder-first open source software, your support directly helps sustain and expand this work.
Reaching this goal will provide validation and momentum to keep building practical open-source tools in clinical data science, local AI, and privacy-first workflows. Your support helps guide what I create next and allows me to invest more time into useful AI-native projects.