AI SaaS case study

VidalSigns

A HIPAA-aligned, white-label platform that turns a dense lab report into plain-English answers — and lets a clinic or a gym offer the same thing under its own brand.

VidalSigns: AI SaaS Health Platform
  • IndustryHealthcare SaaS
  • UsersIndividuals and partner clinics
  • Data retentionPurged within 24 hours
  • ServicesProduct Design, Development, AI

Overview

VidalSigns reads a lab report and explains it in plain English. Somebody uploads a PDF or a photograph of one, a multi-pass OCR engine pulls the values out of whatever template the lab happened to use, and a chat answers questions about what they mean. No clinical vocabulary required, and no account to create — access arrives as a secure link in an email.

The second half of the product is the part partners buy. A gym, clinic or wellness centre configures a branded microsite of its own — layout, theme, colours, hero copy, pricing — and hands its members a bundle of QR codes. The whole thing deploys from the partner dashboard without anybody at CodeMyPixel touching it.

Health data does not sit still here. Uploaded files and everything extracted from them are purged automatically within twenty-four hours, behind end-to-end encryption, role-based access and an audit trail — which is what makes the offer sellable to an organisation that has to answer for it.

  • React / Next.js
  • TypeScript
  • Tailwind CSS
  • PostgreSQL
  • Vector Search
  • Generative AI (LLM)
  • Advanced OCR
  • Stripe Billing
  • Vercel Hosting

Project video

Clarity you can trust.

A walkthrough of VidalSigns, from an uploaded report through to a partner deploying a branded microsite of their own.

Key capabilities

  • Report ingestion

    PDFs and photographs both. A multi-pass OCR engine reads the values out, whatever the lab's template looks like.

  • Plain-English chat

    A retrieval-augmented model explains results against reputable medical sources, in a calibrated tone.

  • White-label microsite

    Partners pick a layout, edit every section, set their own pricing, and deploy the site themselves.

  • QR code bundles

    Access is distributed as printed codes and secure links, so a member never has to make an account.

  • Twenty-four hour purge

    Uploaded files and everything extracted from them are deleted automatically, on a timer nobody can extend.

Individuals get a page of reference ranges and abbreviations with no way in, so the questions land on whoever is nearest — a gym's front desk, a clinic's phone line, a search engine at midnight. The organisations fielding those questions had no way to answer them at scale either: doing it properly means clinical safety, HIPAA-grade privacy and OCR that survives a phone photo of a printout, and none of that is a side project.

  • Jargon on every line

    Reference ranges and abbreviations that mean nothing without clinical training.

  • Every lab formats differently

    Templates vary, scans come in crooked and low-contrast, and extraction cannot assume a layout.

  • The same questions, endlessly

    Gyms and clinics answered the same explanations by hand, one member at a time.

  • Nowhere safe to put the data

    No partner could offer this without a privacy guarantee they were willing to put in writing.

Questions

The main goal was to create a dual-purpose platform: an AI assistant for individuals to understand their lab results, and a white-label SaaS solution for businesses to offer this service under their own brand, complete with custom settings and QR code distribution.

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