Gigabox Apps · PraxisBeta

AI-native electronic health records.

Gigabox EHR is what an electronic health records platform looks like when humans design it and AI builds, ships, and operates everything else. Patient portal, scheduling, telehealth, lab orders, prescriptions, referrals, and AI-generated visit summaries — all in one app.

Available on the web and iOS
praxis.gigabox.ai·iOS via TestFlight
Research and development product. Patient profiles shown in the app are fictional. Gigabox EHR is not yet certified for use with real protected health information and is not a substitute for clinical judgment.

Get the app

Gigabox EHR runs in any modern browser and as a native iOS app. Same account, same data — sign in once and switch devices seamlessly.

Web app
praxis.gigabox.ai

The full EHR — provider dashboard, scheduling, encounter workflow, telehealth, orders, referrals, and analytics. Works in any modern browser on desktop, tablet, or phone.

Open praxis.gigabox.ai
iOS app
TestFlight beta

Native iOS patient app with Sign in with Apple, push notifications, and offline-aware caching. Currently in closed beta on TestFlight — email us and we'll send an invite.

Request TestFlight invite

What's inside

Six modules, all production-grade, all built end-to-end by AI.

Smart Encounter

A five-step workflow — intake, AI-drafted SOAP notes, orders, billing, and complete — with AI-generated medical coding and claim drafts.

Scheduling

Calendar view, real-time availability, booking with confirmation email, and an autonomous reminder agent that runs hourly.

Telehealth

One-to-one WebRTC video sessions with in-app signaling. No third-party SDK, no per-minute charges.

Orders & Referrals

Lab orders, imaging orders, prescriptions, and specialist referrals as first-class encounter entities — with AI-drafted referral letters and order suggestions.

Patient Portal

Patients see their visit history, medications, allergies, upcoming appointments, and AI-generated plain-language visit summaries.

Mobile App

Native iOS app on TestFlight with Sign in with Apple, push notifications, and offline-aware caching. Built with Expo and Clerk.

See it in action

A look at the native iOS patient app.

Gigabox EHR mobile — sign in screen
Sign in
Apple, Google, or email
Gigabox EHR mobile — patient home dashboard
Home
Next appointment, meds, visits
Gigabox EHR mobile — appointments list
Appointments
Upcoming and past visits
Gigabox EHR mobile — medical records
Records
Visit history and AI summaries
Gigabox EHR mobile — patient picker
Switch patient
Multi-patient households
Gigabox EHR mobile — settings screen
Settings
Profile and account

How it's built

A modern stack, chosen by AI, deployed by AI, operated by AI.

BackendFastAPI · Python 3.12 · Cloud SQL (Postgres)
WebReact · Vite · TypeScript · Tailwind
MobileExpo · React Native · TypeScript
AuthClerk (Apple, Google, Email)
AIDeepSeek via OpenRouter
InfraGKE Autopilot · Cloud SQL · Vercel-style CI

Why we built it

Electronic health records are a notoriously hard category. The incumbents are slow, expensive, ugly, and built on technology decades old. Every clinic we've talked to has a story about wrestling their EHR.

We wanted to know what an EHR would look like if a small team designed it from scratch and AI did the rest of the work. So we built one. The result is Gigabox EHR — a working demonstration with a patient portal, scheduling, telehealth, lab orders, prescriptions, referrals, AI-generated visit summaries, and a native iOS app, all developed and deployed without humans writing production code.

Gigabox EHR is currently a research and development product. The patient profiles shown in the app are fictional. We are not yet processing real protected health information. When that changes, we will update our privacy policy and notify active users.