Technology stack
The engineering foundation behind the work.
One reusable foundation for regulated systems across healthcare, legal, finance, automotive, and enterprise IT — open standards, replaceable components, and deterministic controls.
Open standards, replaceable components, isolated data, and deterministic controls are the point.
Start a conversationShared packages
42+
Reusable packages across patient, staff, EMR, and regional application layers.
Clinical scale
26+
Specialty configurations supported by the EMR foundation.
Engineering foundation
A reusable stack for regulated, cross-vertical work.
One reusable engineering foundation: healthcare first, and built for sensitive legal retrieval, finance automation, industrial systems, and enterprise IT.
Domain 01
Frontend
Next.js 15 App Router, React 19, Turbopack
React Compiler for automatic memoization
Tailwind CSS v4 token architecture
TypeScript strict mode
TanStack Query, Zustand, service worker, next-intl
Domain 02
Backend and Auth
tRPC v11 internally, REST/OpenAPI externally
Drizzle ORM, PostgreSQL, pgvector
Database-per-tenant isolation where required
PgBouncer, pgboss, SSE, Socket.io for chat only
Better Auth with MFA, OAuth, and passkeys
Domain 03
AI Core
Custom AI layer in @emr/ai-core
Seven agents across clinical workflow
GPT-4o, Gemini, Claude, and local OSS toggle points
PHI pseudonymization before external LLM calls
DINOv2 visual similarity and tenant-scoped search
Domain 04
Infrastructure
Docker Compose and self-hosted deployment paths
Caddy for automatic HTTPS and custom domains
Cloudflare for DNS, WAF, DDoS, and edge cache
Doppler secrets, Grafana, Prometheus, Loki
GitHub Actions, Turborepo, pnpm workspaces, Payload CMS
Domain 05
Security and Compliance
236,000+ interaction pairs
294 clinical rules and 65 red flags
Immutable clinical audit trails
FHIR R4 export and granular consent
HIPAA, PIPEDA, GDPR, and regional data-residency alignment
Domain 06
Scale
42+ shared @emr/* packages
159 database tables
275+ pages across four apps
26 clinical specialties supported
Five languages and two RTL scripts
Architecture principles
Built for systems that cannot be casual with risk.
01
Safety-first
AI can recommend. Deterministic rules, clinicians, CPAs, attorneys, and principals keep authority where the risk lives.
02
No lock-in
Docker-first deployment, open standards, FHIR export, and replaceable components keep operators in control.
03
PHI and data isolation
Sensitive data is isolated by tenant, environment, and jurisdiction. PHI is pseudonymized before any external AI provider sees it.
04
Zero-vendor posture
No single managed service owns the architecture. Auth, queues, search, observability, and AI layers remain replaceable.
Work together
Use the foundation where failure is expensive.
Bring the operating environment, the data boundaries, and the users who have to trust it.