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HIPAA · EVV · MULTI-TENANT · AI-AUGMENTED

Healthcare SaaS engineered for the regulator — not just the demo day.

We’re actively building an AI-powered, HIPAA-architected, multi-tenant adult home care SaaS for a US healthcare operator under NDA — 3-module ecosystem with EVV biometric verification, EDI 837/835 claims, and AI document intelligence. The compliance bar we hold here is the same bar that’s kept Nepal’s central bank litigation system live in production for 5+ years. Healthcare SaaS doesn’t fail technical — it fails the regulator. We engineer for that audit first.

48-hour response · Mutual NDA on request before discovery · Your first call is with an engineer

  • 5+ yrsCentral-bank-grade compliance system live (NRB)
  • 3module HIPAA-aligned home care SaaS in production-ready dev
  • 6+healthcare compliance frameworks engineered into the platform
  • 4.8★on Capterra · 25 verified third-party reviews

THE PROBLEM

Why most healthcare SaaS fails the audit, not the demo.

Healthcare SaaS demos beautifully. The pretty dashboard, the “HIPAA-ready” checkbox in the marketing deck, the seamless caregiver app flow — all easy to ship for a pitch. What kills the platform isn’t the feature work. It’s the audit, the EVV mandate failure, the cross-tenant data leak, and the BAA-signed integration that nobody actually configured.

It dies at PHI isolation — multi-tenant SaaS where one provider’s caregiver data accidentally surfaces in another tenant’s report. It dies at EVV non-compliance — visit verifications that don’t capture the federally-mandated data fields (caregiver identity, client identity, service, location, in/out timestamps) in a way that survives a CMS audit. It dies at claims rejection — EDI 837 submissions that bounce because the system never validated against payer-specific rules.

And it dies at year three — when the founder’s original tech vendor disappeared, when iOS deprecates the biometric flow the EVV app depends on, when state regulators issue new EVV adopter rules that require a full system change. We architect for that year-three audit, not the year-one launch. Our AI-powered adult home care SaaS engagement is being built to that bar right now.

OUR APPROACH

A four-phase process, designed for healthcare regulators.

  1. 01

    Compliance discovery 2–3 weeks · fixed fee

    We map your regulatory environment first: HIPAA (Privacy + Security Rules), 21st Century Cures Act EVV, CMS Medicaid/Medicare requirements, state-specific home care rules, EDI 837/835 payer integrations, SOC 2 / NIST controls if applicable. The platform architecture comes out of the compliance map — not bolted on after. Deliverable: written technical spec, compliance matrix, tenant isolation strategy, BAA boundary diagram, and fixed-price quote for the build.

  2. 02

    Compliance architecture 1–2 weeks

    Schema-per-tenant PHI isolation with middleware validation. Zero-PHI governance plane for super-admin operations. Encryption at rest (AES-256), encryption in transit (TLS 1.2+). Immutable per-tenant audit logs. Role-based access control at the routing layer, not the UI. Device fingerprinting and biometric flows for caregiver field workers. All decided before the first feature ships.

  3. 03

    Build 4–9 months for MVP

    Two-week sprints. End-of-sprint demos on multi-tenant staging with synthetic PHI fixtures so you can verify the isolation model under realistic conditions every two weeks. We ship tenant + identity + audit-log first, the clinical workflow second, the caregiver mobile app third — in that order because the audit-trail layer is the foundation for everything else.

  4. 04

    Launch + state regulator support

    State-specific EVV adopter/aggregator integrations. CMS audit prep with our team on the line. New-state rollout (each US state has its own EVV rules). Quarterly compliance reviews. iOS / Android OS-upgrade work on the caregiver app (biometric API changes, background-service rule changes). Healthcare SaaS isn’t shippable — it’s ongoing.

CAPABILITIES WE SHIP

Six healthcare SaaS capabilities engineered into the platform.

Not feature lists — the architectural decisions that determine whether your healthcare SaaS survives an audit.

Multi-tenant PHI isolation

What it does: Schema-per-tenant database partitioning with middleware validation. Cross-tenant PHI exposure is architecturally impossible, not just policy-prevented. Zero-PHI governance plane for super-admin operations.
Reference deployment: Adult Home Care SaaS — in production-ready development for a US operator.

EVV with biometric + GPS verification

What it does: Federally-compliant Electronic Visit Verification capturing caregiver identity (biometric login + face match), client identity, GPS location, in/out timestamps, and services delivered. State-by-state EVV adopter/aggregator integration ready.
Reference deployment: Flutter Caregiver App in the AI Home Care SaaS engagement.

AI document intelligence (OCR + NLP)

What it does: Automated extraction from insurance cards, prior authorizations, medical intake forms, and uploaded clinical documents. Voice-to-text caregiver visit notes with grammar cleanup and structured output. Eliminates one of the highest-error data-capture points in the agency workflow.
Reference deployment: AI Home Care SaaS embedded across the stack.

EDI 837 / 835 claims & remittance

What it does: Medicaid/Medicare-ready EDI 837 claims generation, EDI 835 remittance ingestion, payer-specific billing rule engine, claims-status tracking. Designed into the data model from day one, not retrofitted.
Standards: 21st Century Cures Act, CMS Medicaid/Medicare, state-specific payer rules.

RBAC for 8+ healthcare roles

What it does: Backend-enforced role isolation across Platform Owner, Super Admin (Operations / Billing / Compliance), Support Admin, Agency Admin, Coordinator, RN/Clinical Supervisor, Billing Specialist, Payroll Specialist, Caregiver. Enforced at the routing layer, not the UI.
Reference deployment: Adult Home Care SaaS — 8 distinct roles with granular RBAC.

Care coordination & risk detection

What it does: Real-time care-plan coordination across the caregiver team, clinical supervisor review queues, automated risk-flag detection (fall risk, medication non-adherence, hospitalization likelihood) from caregiver notes and visit patterns. AI surfaces clinical signals before they become incidents.
Reference deployment: AI Home Care SaaS clinical workflow.

CASE STUDY DEEP-DIVE

AI-Powered Adult Home Care SaaS — HIPAA Multi-Tenant Platform.

The client and the stakes

A US healthcare operator engaged us to build the next generation of adult home care agency management software — a multi-tenant SaaS that home care agencies subscribe to instead of running fragmented legacy tools. The structural problem in adult home care: agencies juggle paper intake forms, separate scheduling tools, third-party EVV apps, manual billing pipelines, and unconnected payroll exports. Compliance breaks at every handoff. Caregivers can’t verify visits without 4-step workarounds. Claims get rejected for missing EVV data. Audit prep takes weeks.

What we’re shipping

A 3-module ecosystem: Super Admin platform (zero-PHI governance layer for tenant provisioning, subscriptions, platform config), Agency Dashboard (tenant-level operational web app for client intake, scheduling, billing, payroll, EVV oversight), and Caregiver Mobile App (Flutter, biometric login, face-detection anti-fraud at clock-in/out, GPS-verified EVV, AI voice-to-text visit notes, offline read-only mode). Built on Node.js + TypeScript + React + PostgreSQL schema-per-tenant, AES-256 encryption, OAuth2/JWT auth, AWS infrastructure, embedded AI for document intelligence and predictive scheduling.

Status and what it means

Engagement is in production-ready development for a US healthcare operator under NDA. Architecture, compliance design, and module scope reflect engineering decisions made and code shipped to staging. Live production metrics will be added once the platform launches. The architectural bar we’re holding here is identical to the bar that’s kept Nepal Rastra Bank’s litigation system live in central-bank-grade production for 5+ years.

Read the full Home Care SaaS case study →

TECH STACK

The healthcare SaaS stack we reach for, and why.

  • Node.js + TypeScript — back-end services for the AI Home Care SaaS. Strong typing for the data-model layer where PHI flows through every boundary; mature ecosystem for FHIR, HL7, and EDI tooling.
  • React — web admin panels for Super Admin (governance) and Agency Dashboard (operational). Tenant-aware routing built into the app shell so cross-tenant context bleeds are impossible by construction.
  • Flutter — caregiver mobile app. Single codebase for iOS + Android, native-grade performance for biometric prompts and camera-based face matching, offline-first local cache for visits in client homes with unreliable cellular.
  • PostgreSQL with schema-per-tenant — hard data isolation between agency tenants. Tenant-aware connection routing. Per-tenant immutable audit logs.
  • AES-256 at rest, TLS 1.2+ in transit, OAuth2/JWT auth with refresh-token rotation — the security baseline. MFA mandatory for super-admin roles. Device fingerprinting + biometric for caregiver app.
  • AWS HIPAA-aware deployment — US-region hosting with data-residency guarantees, BAA-signed services only (RDS, S3, CloudFront, etc.), AWS KMS for key management, CloudTrail for audit logging.
  • AI/ML stack — OCR/NLP for document extraction (insurance cards, prior auths), voice-to-text transcription for visit notes, anomaly detection on EVV streams, predictive scheduling models. Embedded across the stack, not bolted on.

HOW WE ENGAGE

Three ways to engage, depending on where you are.

Compliance discovery sprint

2–3 weeks · fixed fee

Best when you have a healthcare SaaS concept but no compliance architecture. We map HIPAA, EVV (state-specific), CMS requirements, EDI integrations, and BAA boundaries. Deliverable: written technical spec, compliance matrix, BAA boundary diagram, and a fixed-price quote for the MVP build.

Healthcare SaaS MVP build

4–9 months · fixed price

Best when you have a spec and need a fixed budget. We deliver a production-ready multi-tenant healthcare SaaS with HIPAA-aligned tenant isolation, EVV mobile app, EDI 837/835 claims integration, RBAC, audit logs, and a 90-day production warranty. Two-week sprints with multi-tenant synthetic-PHI demos.

Healthcare retainer + state rollout

Monthly · time-and-materials

Best post-launch. State-by-state EVV adopter rollout, payer rule updates, OS-upgrade work on the caregiver app, CMS audit preparation, BAA renewal cycles. Healthcare SaaS is ongoing — the retainer is how we stay on the platform alongside you.

Standard contracts: MSA + SOW templates available on request. Mutual NDA signed before discovery. Business Associate Agreement (BAA) on request for engagements where we touch PHI in build/staging. Source code escrow available for enterprise engagements.

QUESTIONS

Healthcare SaaS development, frequently asked.

Are you HIPAA-certified?

There’s no such thing as a “HIPAA-certified vendor” — HIPAA doesn’t certify companies; it certifies practices. What we are: HIPAA-architected — we build systems whose data model, encryption, access control, audit logging, and deployment topology meet HIPAA Privacy & Security Rule requirements. We sign Business Associate Agreements (BAAs) for engagements where we touch PHI. We’ll walk you through our compliance approach on the discovery call.

Do you sign a Business Associate Agreement (BAA)?

Yes, for engagements where we touch PHI during build or staging. The BAA defines our obligations as a Business Associate under HIPAA. We can either sign your standard BAA or use a mutual template we’ve refined across healthcare engagements.

How do you handle EVV state-specific requirements?

EVV (Electronic Visit Verification) under the 21st Century Cures Act is federally mandated, but each US state implements it differently — some use the “adopter” model (state-chosen EVV vendor), some use the “aggregator” model (state-built data aggregator). Our caregiver app captures the EVV data the federal mandate requires (caregiver ID, client ID, location, in/out timestamps, services delivered), then integrates with the specific adopter/aggregator endpoints per state. New-state rollouts are part of the post-launch retainer.

How long does it take to build a healthcare SaaS MVP?

2–3 weeks compliance discovery, then 4–9 months for the MVP build. Single-state EVV with simple billing: closer to 4 months. Multi-state EVV + EDI 837/835 + AI document intelligence + multi-role RBAC: closer to 9. We give a fixed-price quote with a fixed timeline after discovery.

What does it cost?

Pricing: fixed-fee discovery sprint, fixed-price MVP build, time-and-materials retainer post-launch. We quote firm numbers after a 30-minute discovery call. Healthcare SaaS engagements are typically larger than other SaaS engagements because the compliance scope is wider.

Can you take over an existing healthcare SaaS?

Yes — common engagement. We audit the existing codebase, review the compliance posture (tenant isolation, audit logs, BAA-covered services, EVV implementation), and write a remediation plan. We’ve taken over codebases where the original team disappeared or where the system failed a regulator audit.

Where will our PHI be hosted?

For US healthcare clients: AWS US-region with BAA-signed services. For EU clients: EU-region with GDPR compliance. We deploy where your regulatory environment requires — never to a region that creates a sovereignty problem.

Where can I read independent reviews of your work?

We’re listed on Capterra at 4.8★ across 25 verified client reviews — with verified reviewers across real estate, automotive, sports, non-profit, marketing, and auction industries. Read the reviews on Capterra → Healthcare-specific reviews are limited because most of our healthcare work is currently under NDA.

Healthcare SaaS engagement US healthcare operator · Under NDA

Build a HIPAA-architected healthcare SaaS.

3
Integrated modules
Super Admin · Agency · Caregiver
6+
Compliance frameworks
engineered into the platform
8
Distinct healthcare roles
with granular RBAC
5+ yrs
Central-bank-grade
compliance live (NRB)

Same engineering team. Same compliance bar. Your healthcare SaaS, with an architecture that already passes the regulator before it passes the demo.

Inherited a healthcare codebase that failed an audit? +977 9851038796 Roshan Subedi, Founder & MD · remediation audits reviewed directly