AI and custom software for healthcare.

Patient-facing apps, intake and scheduling that run themselves, document work taken off clinical and administrative staff, and AI assistants grounded in your own practice knowledge, with privacy designed in from the first sprint.

01why now

Healthcare organizations carry more administrative work per patient than almost any other sector: intake forms, insurance checks, scheduling and rescheduling, referrals, records requests, reminders, and follow-up. Most of it is reading, routing, and re-typing information that already exists somewhere else. That is exactly the work modern AI handles well, and staffing pressure means the hours it frees go straight back to patient care.

Patients have also changed. They expect to book, ask questions, and see their information from a phone, the way they do with every other service. A practice or healthtech company with a good app and fast responses wins patients who would otherwise go elsewhere.

02what we build

• Patient apps. Native iOS and Android apps with scheduling, records, messaging, and AI features. Supreme Dental's two apps, live in the stores, carry an AI smile preview on generative imaging, an LLM assistant, scheduling, and patient records. Read the case study.
• Intake and scheduling automation. Forms read and checked, missing information chased automatically, appointments booked and rebooked, and reminders sent, with staff handling only the exceptions.
• Document workflows. Referrals, faxes, records requests, and insurance documents extracted into structured data and routed to the right queue.
• AI assistants. Answering patient questions from your own approved content, and helping staff find policies and procedures fast, with clear escalation to a person for anything clinical.
• Healthtech products from zero. For founders, we can own the technical decisions a founding CTO would. Nestwell, a healthtech startup, went from idea to product with us on a $30K budget and raised $1.2M+ after shipping.

privacy and compliance, designed in

Patient data changes the architecture, so we settle these questions in the first weeks, not at the end:

• Which vendors will touch protected health information, and whether each one offers the agreements and controls HIPAA requires.
• Keeping identifiable data out of any model or tool that does not need it, and minimizing what is sent where.
• Access controls by role, audit logs of who saw what, and encryption in transit and at rest.
• A human in the loop on anything that could affect care. AI drafts and routes; licensed people decide.

Your compliance officer or counsel should review the design, and we build so that review is easy.

where to start: use cases ranked by payback

1. Reminders, confirmations, and rebooking. Low risk, high volume, and every recovered no-show is revenue you already earned.
2. Intake and referral processing. Forms and faxes read, checked, and filed, with only incomplete ones reaching a person.
3. Patient questions. An assistant answering from your approved content cuts phone volume, with anything clinical routed to staff.
4. Patient apps and AI features. Bigger builds that change how patients choose you, best started once the basics run.

03who this is for

Independent and multi-location practices, specialty groups, dental practices and DSOs (see AI for dental practices), clinics, and healthtech companies building patient-facing or provider-facing products. Typical sponsors are a practice owner, COO, or founder who can name the hours lost to admin work or the patients lost to slow response.

04how it runs

1. Diagnose. We map where staff time goes and where patients drop off, and put a number on each.
2. Fix the budget. A scoped plan with a fixed number, including the privacy and vendor decisions. Change requests are priced before they start.
3. Build in the open. Working software every two weeks, reviewed with the staff who will use it.
4. Operate. We stay past launch to measure, harden, and extend. Supreme Dental's apps are maintained by the team that built them.

Related services: AI workflow automation, mobile apps, AI agents, and custom AI development.

05common questions about AI in healthcare

How can healthcare organizations use AI today?

Mostly in administration and patient experience: reading and routing intake forms and referrals, scheduling and reminders, answering patient questions from approved content, extracting data from documents, and AI features inside patient apps. Clinical decisions stay with licensed people.

Can AI tools be used with patient data under HIPAA?

Yes, with the right design. Every vendor that touches protected health information needs the appropriate agreements and controls, identifiable data should be kept out of tools that do not need it, and access controls and audit logs should be in place. Your compliance officer or counsel should review the design.

Do you build patient apps?

Yes. Supreme Dental's two native apps, live in the app stores, carry an AI smile preview, an LLM assistant, scheduling, and patient records.

Do you work with healthtech startups?

Yes. Nestwell, a healthtech startup, went from idea to product with Insomnia Club as fractional CTO on a $30K budget and raised $1.2M+ after shipping.

Will AI replace front desk or administrative staff?

It removes the repetitive part of their work, such as re-typing forms, chasing missing information, and sending reminders, so the same team can handle more patients and spend more time with them.

How much does healthcare software development cost?

A fixed number agreed before work starts, including the privacy and vendor decisions. Change requests are priced before they are started, never after.