AI for Healthcare
AI that gives clinicians and staff their time back.
HIPAA-ready. Built with clinicians.
We build production AI for health systems, practices, and healthtech companies, from patient intake and education to credentialing and reimbursement research, with HIPAA safeguards from day one.
Trusted by healthcare teams and the firms that serve them
Why healthcare is different
In healthcare, trust is the product.
Clinical teams will not adopt a tool they can't verify, and compliance won't approve one that puts PHI at risk. Healthcare AI has to be accurate, cited, and designed around the people who use it.
Where value is created
In administrative load: intake, documentation, prior authorization, credentialing, and patient questions that pull staff away from care.
How it gets measured
Staff hours returned, turnaround time, patient throughput, and denial and error rates.
What earns adoption
Answers grounded in your own sources, clinician review built in, and PHI handled under a BAA.
From strategy to production
AI built for clinical and administrative teams.
Start with one high-burden workflow or an organization-wide AI program.
AI Strategy & Readiness
Find where AI relieves the most burden, and the safeguards to deploy it.
- AI and data readiness assessment
- Use cases ranked by staff hours and risk
- HIPAA and AI governance policies
- Clinician and staff change management
- Vendor evaluation for AI tools
- Leadership-ready AI roadmaps
Production AI Engineering
Engineers who build HIPAA-ready systems your staff will actually use.
- Patient intake and education assistants
- Credentialing and enrollment automation
- Prior authorization and reimbursement research
- Clinical trial and literature search
- Documentation and coding support
- EHR and practice system integrations
Measurable outcomes, not theories
Results that show up in staff schedules.
Case study · Ophthalmology
400+
Staff hours projected to be saved each month on patient education
PressW built Sophia, an AI assistant that answers patient questions for an ophthalmology practice, so staff spend less time repeating the same explanations and more time on care.
Read the case studyMore client outcomes
99%
Reduction in Medicare reimbursement research time for a healthcare advisory firm
1,000+
Hours of manual work saved with a clinical trial search engine covering 65,000+ trials
6 weeks
From concept to deployed production AI platform for a healthcare startup
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where healthcare AI stalls
Most healthcare AI pilots stall in the same four places.
The fix: start with administrative workflows, ground every answer in trusted sources, and bring clinicians in early.
PHI concerns
Compliance blocks tools that can't show where patient data goes or who can see it.
Unverifiable answers
Clinicians stop using tools that can't cite their sources.
Disconnected systems
Data sits across the EHR, billing, and scheduling systems that AI tools can't reach.
Stretched teams
Staff have no time to learn a new tool unless it removes work on day one.
How it works
From first workflow to system-wide AI in three steps.
A safe path that starts with one measurable win.
- 01
Assess
Map high-burden workflows, confirm data access and HIPAA controls, and pick the first use case.
Explore AI Transformation - 02
Build
Ship a production system with cited answers, human review, and integration into existing tools.
Explore AI Engineering - 03
Scale and manage
Extend to new departments or practices and monitor accuracy, usage, and compliance over time.
Explore Managed AI
FAQ
Questions healthcare teams ask us.
Don't see your question? Bring it to an intro call.
Give your care teams time back.
From strategy to production AI: one partner built for healthcare's standards.