We help healthcare teams design and build secure AI products — from PHI-safe architecture to production delivery.
We connect product, data, AI, and regulated delivery — so critical decisions do not disappear between specialist vendors.
Clinical AI & automationAgents · RAG · copilots
Patient engagementMobile · portals · access
Claims & insuranceEligibility · billing · workflows
Behavioral healthCare journeys · monitoring
EHR & health dataFHIR · integrations · analytics
Remote monitoringSignals · alerts · escalation
Wearables & devicesTelemetry · mobile · cloud
Security architecturePHI · access · auditability
Four segments, real production constraints, and client references available during qualified evaluations.
Native iOS and Android experiences plus internal platforms, delivered through institutional procurement and renewed into phase 2.
For a clearly bounded product, we move from confirmed scope to a production-ready MVP in eight weeks. HIPAA controls are not a final-week checklist: PHI paths, model access, monitoring, human oversight, and review evidence are designed into every release.
Map PHI, users, model calls, risk, and the acceptance test.
Ship the primary workflow through scoped data and model access.
Add audit trails, evaluation, failure handling, and human escalation.
Validate production behavior and assemble the security-review package.
When legal, security, and clinical teams enter the room, the questions change. We make those questions part of the architecture from day one — so your roadmap does not stall two quarters later.
Each engagement is designed to answer the next risk in your roadmap, not create a permanent consulting dependency.
A focused, fixed-scope review of data flow, model choices, PHI exposure, logging, access, and human oversight.
Platforms and mobile apps built for regulated environments — iOS, Android, and web — including EHR and claims integration.
Senior engineers embedded in your team, under BAA, ramped in weeks — not quarters.
Every phase closes a specific risk and leaves you with a concrete artifact — not a slide-deck dependency.
Users, workflows, PHI paths, model choices, and the review your customer will run.
Output · Risk mapIdentity, scoped retrieval, logging, retention, human oversight, and BAA-covered services.
Output · Data-flow architectureProduction increments with acceptance criteria, telemetry, testing, and clinical feedback loops.
Output · Working softwareEvidence, diagrams, controls, and remediation answers assembled before the questionnaire arrives.
Output · Review-ready packageCare Software Solutions is led by Faisal Irfan — 15+ years in software engineering and 9 years leading platform engineering teams at enterprise scale, including large-scale IoT and energy infrastructure, mobile iOS/Android, and backend Go systems. His experience includes enterprise AI-tooling rollout and governance. MS Computer Science and MS Business Analytics & Data Science, University of Utah. Based in Austin, Texas.
Thirty minutes, no pitch. Bring the architecture and we'll tell you what will fail the review — and what it takes to fix it.
Book a 30-minute call