Built for one practice.
Architected for hundreds.
LUKE isn't just an application — it's a platform. Multi-tenant by design, API-first by architecture, and built so the gap between customer one and customer one hundred is as small as possible.
Every tenant is an island.
Every table is tenant-scoped. Every query is tenant-filtered. PostgreSQL Row-Level Security enforces boundaries at the database level — not in application code, where mistakes happen.
Per-tenant encryption keys mean a compromise in one practice never touches another. Tenant-aware RBAC separates practice admins from platform admins. The isolation isn't a feature — it's the architecture.
Your EHR. Your pharmacy.
Your lab. Connected.
FHIR-compatible resource representations. The data model is structured so a FHIR adapter is a translation layer, not a rewrite.
Prescription routing and verification. Electronic prescribing workflows that keep the pharmacy loop closed and auditable.
Order placement and results ingestion via Health Gorilla FHIR lab ordering. Getlabs at-home phlebotomy for patient convenience. Structured lab data flows directly into patient records without manual transcription.
Native integration with webhook idempotency. Payment state is always consistent, even when webhooks arrive out of order.
A real API. Not an afterthought.
POST /api/v1/patients Authorization: Bearer {oauth2_token} Content-Type: application/json { "first_name": "Sarah", "last_name": "Mitchell", "email": "sarah@example.com", "intake_form_id": "form_8x4k2m" }
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OAuth2 client credentials — machine-to-machine authentication with scoped tokens
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Versioned endpoints — breaking changes never ship to existing consumers
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Webhook subscriptions — real-time notifications for clinical events and state changes
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FHIR-compatible resources — structured health data representations that translate cleanly
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Comprehensive error responses — structured errors with codes, messages, and remediation hints
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Rate limiting with clear headers — predictable throttling with X-RateLimit headers on every response
Production-grade.
Not prototype-grade.
Auto-scaling from zero to whatever the load demands. Zero-downtime deployments with revision management and instant rollback.
Asyncpg connection pooling for high throughput. Read replica ready for analytics workloads that shouldn't touch the primary.
Cache layer with graceful fallback to direct database queries. The application works without Redis — it just works faster with it.
Distributed tracing to Cloud Trace. Structured logging with correlation IDs that follow a request from ingress to database and back.
Credentials stored in GCP Secret Manager. TTL-based cache refresh means rotation doesn't require redeployment.
Full test suite on every PR. Lint, PHI detection in logs, and pip-audit for dependency vulnerabilities. Merged code is deployed code.
The platform gets smarter
as it grows.
Lead scoring that improves with every practice on the platform. Anonymized, aggregated conversion data across tenants trains models that new practices benefit from on day one.
That's a network effect — the platform gets better as it grows. Analytics caching already supports cross-tenant insights. The data advantage compounds, and it belongs to the platform.
What happens at 2 AM matters.
Security, encryption, concurrency, and integration suites. Not just coverage metrics — tests that catch the failures that happen in production, not in theory.
Full replica with synthetic data. Every deployment passes through staging before it touches production. No exceptions, no shortcuts, no "just this once."
P50/P95/P99 latency tracking. Error rates, connection pool utilization, cache hit ratios. The dashboards exist before the incidents do.
Database pool exhaustion. Stripe webhook failures. Cross-tenant data reports. Documented procedures for every known failure mode.
Four detection patterns running continuously: bulk PHI access, after-hours activity, failed authentication spikes, and unauthorized access attempts. Alerts fire before damage compounds.