Case study

SOS QR

A scan-to-surface emergency medical QR: a person's critical details on one page, with no app to install. Built for a client.

Production prototype, in active client change rounds. Round 19 went to production on 26 September 2026.

View the live demo ↗
Client
Unnamed client
Role
Design, build and deployment
Timeline
Round 19 in production on 26 September 2026
Status
In production
Stack
Next.js, Supabase, MSG91, PWA

The problem

In an accident, the people who reach you first (bystanders, paramedics) have no way to know your blood group, your allergies, the medication you're on, or who to call. The information that could change the outcome is locked inside a phone they can't open.

What we built

A QR you carry: on a card, a sticker, a keychain. Scanning it opens a mobile-first page with exactly what a first responder needs: emergency contacts, blood group, allergies, conditions, medication. One emergency contact is marked “Call first”, and the owner controls what the scan page shows. No app to install, nothing to unlock. A person registers, fills their profile, and a unique QR is minted to them. Activating the QR is free.

Shipped as a web app (PWA), installable from the browser and offline-tolerant. Next.js and Supabase for the app and data, MSG91 for phone verification.

Result

A production-ready prototype, delivered and live for the client to test, including an admin dashboard, a bulk-issue flow for pre-printed QRs, and a claim flow for handing them out. Public go-live is the client's call. The working demo is linked above.

Diagrams

CARDSCANPAGERESPONDER
Card, scan, page, responder. No app to install.
EMERGENCY CONTACTSBLOOD GROUPALLERGIESCONDITIONSMEDICATION
What a responder sees, shown empty.
PWASUPABASEMSG91 VERIFICATIONNEXT.JS
Next.js, Supabase, MSG91 phone verification.
arkynlabs.com / as an AI model reads it

This is the same page as ChatGPT, Claude, Gemini and Perplexity read it. We build sites to work for both readers. That is what our AI visibility work does for clients.

# Arkyn Labs

> AI product and research studio. Chennai, India.
> Builds production software and runs research that ends in a verdict.

## Services

- **Build**: web and mobile apps, internal tools, dashboards,
  AI agents, RAG systems.
- **Research**: markets and competitors, audits and validation,
  regulation and tenders, technical feasibility.
- **AI visibility**: answer-engine audits, entity and citation
  strategy, content built to be quoted, tracking across ChatGPT,
  Claude, Gemini and Perplexity.
- **Strategy**: AI integration, founder and GTM, brand and
  marketing, product.

## Research method

1. Scope: confirm the question is the one that matters.
2. Sweep: parallel agents work from primary sources.
3. Test: teardowns, prototypes on real devices, surveys.
4. Model: side-by-side comparison, re-runnable analysis.
5. Attack: an independent verifier tries to break each claim.
6. Verdict: a decision, scored options, the recommended path.

## Selected work

- SOS QR (client build, in production; round 19 in production
  on 26 September 2026)
- CHAINED (in-house word-chain puzzle game for Android,
  coming to Play Store)
- Shantti (in-house Android app, coming to Play Store)

## How we work

Founder-led. A few clients at a time. Scoped per question.

## Contact

contact@arkynlabs.com