Regulated verticals

Which practice can't send
data to the cloud?

Every experiment is designed for practitioners who can't send client data to a cloud API, and who have reasonable grounds for that reluctance. The question each one answers is the same: does it work, and at what hardware tier?

Don't see your industry? The setup applies to any practice that can't send client data to a third party. Reach out , I'll consider it for a future experiment.

FAQ

Local AI for regulated industries: common questions

Which regulated industries does Ground Floor cover?
Ground Floor documents local, air-gapped AI for regulated practices: medical, legal, financial, and accounting. Each industry page explains why the data usually cannot go to a cloud API, the common tasks people want help with, and which of those a local model can handle today.
Why does local AI matter more for regulated work?
In regulated work the data itself is the constraint. Patient records, privileged files, and financial accounts often cannot leave the building by rule. A local open-weight model keeps the data on hardware you own, so there is no API call and no third party holding a copy. Nothing leaves the machine, so the one exposure a cloud tool creates simply is not there.
Does running AI locally make my practice compliant?
No, and Ground Floor is careful about this. Running a model locally removes one large exposure, the data leaving your control, but it does not by itself make you HIPAA-compliant or satisfy your specific obligations. Those depend on your rules, your specialty, and your carrier. The Scope page spells out what this site can and cannot answer.