B2B Medical SaaS — Early Access

AI Skin Analysis Platform for Dermatology Clinics

Aimazing is a cloud-native skin analysis platform that gives dermatology clinics AI-assisted diagnostics, longitudinal patient tracking, and automated clinical reports — all within a secure, HIPAA-aligned workflow.

94%
AI Analysis Accuracy
<8s
Avg. Inference Time
15+
Conditions Detected
100%
Cloud-Native Stack
Infrastructure
Powered by Amazon Web Services — EC2, SageMaker, S3, RDS

Dermatology Clinics Face a Data Gap

Most dermatology practices still rely on inconsistent manual documentation, siloed image storage, and subjective visual assessments — creating bottlenecks in patient care and clinical reproducibility.

Fragmented Records

Patient skin images are stored across multiple unconnected systems — phones, local drives, or unsecured email — making longitudinal comparison impossible.

Manual Documentation Overhead

Clinicians spend significant consultation time on documentation that should be automated, reducing capacity for direct patient care.

No Objective Tracking

Without quantitative baseline measurements, tracking treatment outcomes over weeks or months is subjective and unreliable for clinical reporting.

How Aimazing Works

A structured clinical workflow — from image capture to AI inference to report generation — running entirely on AWS cloud infrastructure.

1

Secure Image Upload

Clinicians capture patient skin images directly through the web application. Images are encrypted in transit and stored in Amazon S3 with per-patient access controls enforced via AWS IAM.

2

AI Inference via SageMaker

Images are passed to a computer vision model hosted on Amazon SageMaker. The model classifies skin conditions, segments affected regions, and returns structured diagnostic data in under 8 seconds.

3

Structured Data Storage

Analysis results, patient metadata, and treatment notes are stored in Amazon RDS (PostgreSQL). Historical records enable consistent longitudinal comparison across clinic visits.

4

Clinical Report Generation

Clinicians generate structured PDF reports containing AI findings, annotated images, treatment progress scores, and clinical notes — ready for patient records or referral letters.

Built for Clinical Teams

Aimazing is a B2B software product designed for medical professionals who require precision, compliance, and reproducibility in skin documentation.

Dermatology Clinics

Multi-practitioner practices seeking standardised AI-assisted workflows for common skin conditions.

Independent Dermatologists

Solo practitioners who want clinical-grade documentation tools without enterprise software complexity.

Aesthetic Clinics

Clinics offering skin treatments who need objective before/after documentation for patient outcomes.

Tele-Dermatology Platforms

Remote-first platforms requiring automated pre-screening, structured intake, and AI-assisted triage.

MVP in Active Development

Aimazing is currently in the MVP stage with the core AI skin analysis engine implemented. The platform is preparing for pilot deployments with dermatology clinics and tele-dermatology platforms.

Join Our Pilot Clinic Cohort

We are onboarding a limited number of dermatology clinics for our pilot programme. Participants receive priority feature input, dedicated onboarding support, and preferred pricing on general availability.

Apply for Early Access