Technology

Intelligent processing.
Connected infrastructure.

A clear path from patient imagery to structured observations, with clinical context carried through the workflow.

Illustrative scene: Cinematic close view of a sleek real server rack with blue LED status lights reflected in dark graphite glass, foreground large monitor showing clinical image workflow with fictional cheek photograph and record panels.
Illustrative scene · AI-generated imagery
Architecture

Built around the image-to-record journey.

The documented architecture uses Amazon EC2 for the application, S3 for imagery and reports, SageMaker for model inference and RDS PostgreSQL for structured records.

The diagram is a high-level product architecture, not a live infrastructure audit or a certification statement.

An image-to-record workflow
Illustrative clinical workspace · Fictional demo data
Explore the illustrative data flow +
A purposeful stack

Each layer has a job.

A clear starting point for each visit
01

Image workflow · Amazon S3

Associate imagery and report files with the patient and visit they belong to.

The complete patient story
02

AI processing · SageMaker

Host the image-analysis model and return observations for professional review.

Clinical judgement stays central
03

Structured data · RDS

Connect visit history, notes and observations in PostgreSQL records.

Skin imagery, reviewed in context
04

Application · Amazon EC2

Bring the image and record workflows together in a browser-based workspace.

Responsible processing

AI observations need clinical context.

Image quality, framing and patient history can affect interpretation. Zyvreno presents analysis as assistance. Practitioners review observations alongside the examination and retain responsibility for clinical decisions.

Illustrative scene: An adult clinician reviewing a skin photograph and fine cyan region contours on a large desktop monitor in a quiet consultation office.
Illustrative scene · AI-generated imagery
Infrastructure & trust

Security belongs in the foundation.

A cloud architecture designed around connected clinical records, controlled access and responsible data handling.

AWSS3SageMakerPostgreSQL

Infrastructure shown reflects the architecture documented in the existing project. Contact our team to review current deployment details.

Explore security
An image-to-record workflow
Illustrative clinical workspace · Fictional demo data
Explore the illustrative data flow +
Help shape what comes next

A clearer picture.
A more connected practice.

Join the Zyvreno early access programme and help shape the next generation of clinical skin intelligence.

CaptureAnalyseReviewTrackDocument
A workspace shaped around your practice
Illustrative clinical workspace · Fictional demo data

Illustrative report preview

ZZYVRENO
CLINICAL WORKSPACE
SAMPLE REPORT
Skin observation summary

Aarohi Shah · ZYV-1048 · Fictional patient


VISITFollow-up · Week 8
REGIONLeft & right cheek
AI-assisted observations

Illustrative localised redness in the selected region. Review alongside the clinical examination.

Practitioner notes

Document patient-reported changes, examination findings and the follow-up plan.

Historical comparison

Baseline imagery and visit notes are linked to the patient timeline.


Demonstration only · Not a diagnosis or patient record.

This is a sample interface. It does not analyse imagery or generate clinical reports.