[jochalek]

Very cool to see a serious local first effort. Looking back at how far local models have come I definitely believe their usefulness combined with RAG or in domain specific contexts is soon to be (or already is) on par with general purpose gpt5-like massive parameter cloud models. The ability to generate quality responses without having to relinquish private data to the cloud used to be a pipedream. It's exciting to see a team dedicated to making this a reality.

[rgthelen]

What are a few use-cases you want to see this used for?

[jochalek]

Few ideas related to healthcare

- AI assistants for smaller practices without enterprise EHR. Epic at the moment integrates 3rd party AI assistants, but those are of course cloud services and are aimed at contracts with large hospital systems. They're a great step forward, but leave much to be desired by doctors in actual usefulness.

- Consumer/patient facing products to help people synthesize all of their health information and understand what their healthcare providers are doing. Think of a n on device assistant that can connect with something like https://www.fastenhealth.com/ to make local RAG of their health history.

Overall, users can feel more confident they know where their PHI is, and potentially easier for smaller companies/start-ups to get into the healthcare space without having to move/store people's PHI.

[rgthelen]

Cool ideas, thank you.

[mhamann]

Thanks! It means a lot to hear you say that.