Patient and business data stays on hardware you control. We design private AI systems with HIPAA requirements in mind from the first conversation, led by a team that has built healthcare platforms serving millions.
Sending patient or business data to a hosted AI service raises vendor, agreement and data-location questions that many organizations can't get past.
Policies, procedures and reference documents are spread across systems. Staff spend time searching, or ask a colleague who may not know.
Intake forms, referrals and notes get read, summarized and re-keyed by hand, taking staff time away from patients and operations.
Administrative and knowledge work, with outputs designed for a person to review.
Turn intake forms and referral packets into a short, structured summary for staff to check, instead of reading every page.
Search policies, procedures and reference documents by meaning, not just keywords, with links back to the source.
Staff ask questions in plain language and get answers drawn from your own documents, with the sources shown.
HIPAA-conscious design means we build with HIPAA's safeguards in mind: access control, audit logging, encryption and keeping data on hardware you control. We don't certify systems or guarantee compliance; that depends on your policies, agreements and operations, and your compliance team makes the call.
Two defined offers. Each starts with a free 30-minute call.
For: Healthcare organizations weighing private AI before committing budget.
For: Teams ready to prove one use case on their own hardware.
We map the use case, where patient data is involved, your existing systems and hardware, and the safeguards it needs.
4 to 6 weeks: one use case running on-premises, with access controls and audit logging from day one.
We go through results, limits and risks with your clinical, IT and compliance stakeholders.
You keep the system and the documentation. Extend it to more teams or the next use case.
We design with HIPAA's safeguards in mind, but we don't certify systems or guarantee compliance. Compliance depends on your policies, agreements and how the system is operated, and your compliance team makes that determination. We document the design so they can review it.
Not for AI processing. Models, indexes and logs run on hardware you control, and the system makes no calls to outside AI APIs.
Engagements are designed so our team never accesses protected health information. Systems run entirely on your infrastructure, under your control.
No. The use cases we focus on are administrative and knowledge work: summaries, search and answers with sources, all designed for a person to review.
It depends on how many people will use it and which models fit the work. Sizing is part of the Readiness Assessment, along with a cost comparison against cloud AI APIs. We use ai-on-a-box, our own tool, to turn a bare machine into a private inference API.
A senior SunFox architect leads every engagement. Our leadership brings experience from Microsoft, Volkswagen, Elektrobit, and Change Healthcare, building platforms used by 100M+ customers.
Book a free 30-minute call. Tell us the workflow you'd like help with and your constraints, and we'll tell you whether private AI fits and where to start.