Globalbit is an Israeli custom software development company. This page is a case study about savyon-diagnostics (HealthTech & Computer Vision). Globalbit built the on-device computer vision SDK that turns any smartphone into a clinical-grade home test reader. Embedded inside Israel's largest hospital and HMO patient apps. Reads COVID-19, pregnancy, and ovulation tests with medical-grade accuracy. No cloud round-trip — results in seconds, complete privacy. Used for millions of COVID tests at national scale. On-device computer vision SDK embedded in major Israeli hospital and HMO apps. Reads COVID-19, pregnancy, and ovulation tests. Medical-grade accuracy on consumer phones. No cloud round-trip — instant results with complete privacy. Trained on thousands of real-world photos across devices and lighting conditions. New test types added in weeks. HIPAA-aligned with ISO/IEC 27001 security. Used for national-scale COVID testing.
We Turned Every Smartphone Into a Medical Test Reader
drops into existing hospital and HMO apps — no standalone app needed
computer vision runs on the phone — instant results, complete privacy
COVID-19, pregnancy, ovulation — each with its own trained model
A Camera That Reads What Your Eyes Can't
Home diagnostic tests became widely available, yet healthcare providers lacked a reliable way to verify patient-reported results. Clinical decisions require documented, traceable data, not verbal confirmation. Without verifiable proof, home testing remained disconnected from formal medical workflows.
Home Tests Are Everywhere. Accurate Results Are Not.
Rapid tests changed healthcare by putting diagnosis in people's hands. But a test is only useful if you read it right, record it properly, and get it to the people who need to see it. That's where most home tests still fail.
- -No Verifiable Medical Proof — Patient-reported results lack clinical validation. Doctors, HMOs, and public health authorities require documented evidence with timestamps and traceability before acting on diagnostic data.
- -Home Tests Outside the Medical Record — Traditional test strips generate no structured digital output. Results could not be securely stored, audited, or integrated into electronic medical records and national health systems.
- -Adoption Depends on Existing Platforms — Hospitals and HMOs already operate large-scale patient applications. The solution needed to function as an embedded SDK within trusted healthcare apps, not as a new standalone product.
- -Clinical-Grade Accuracy in Real-World Conditions — Computer vision models had to perform reliably across diverse devices, lighting conditions, and user behavior. Diagnostic accuracy needed to remain consistent outside laboratory environments.
"Savyon's goal was simple: make every smartphone a diagnostic reader. Not with a new app nobody downloads, but inside the apps patients already have — their hospital's, their HMO's, their doctor's."
Point. Scan. Know.
Three steps, under 30 seconds. From opening a test kit to a verified digital result on your phone.
An Invisible Engine Inside the App You Already Use.
The SDK doesn't compete with hospital apps — it makes them smarter. No separate download, no new account, no friction.
Computer Vision That Works in Real Kitchens
The difference between a CV demo and a production SDK: it has to work on every phone, in every lighting, with the kind of photos real people actually take.
From Home Test to Trusted Medical Record
A simple scan on a phone now becomes verified clinical data, securely delivered into the healthcare systems doctors rely on every day.
Why Savyon Chose Us
Creating a medical SDK is not a typical mobile project. Savyon chose a team with proven healthtech experience, deep mobile expertise, and real-world computer vision delivery on consumer devices.
Building a Regulated Healthcare Product?
We help healthtech teams turn complex ideas into compliant, production-ready systems that hospitals approve and deploy.
