Qelvoro Tech ships as a secure web application that clinics can adopt as their day-to-day system for AI-assisted skin assessments, progress tracking, and report writing.
Everything runs in the cloud — nothing to install locally. Clinics subscribe per seat or per practice, and every byte of patient data is encrypted, access-controlled, and handled in line with recognised medical data security standards.
Every image submitted through the platform runs through the same structured AI pipeline, so results stay consistent and reproducible.
Clinicians photograph the affected area with any standard clinical camera or smartphone and upload it through the browser. Every upload travels over TLS into encrypted cloud object storage.
The image goes to a deep learning model running on Amazon SageMaker, which classifies the visible condition, scores its severity, and segments the affected region of the image.
Results come back as structured JSON and attach to the patient's clinical record. The clinician reviews the findings, adds notes, and the visit joins the patient's treatment timeline.
Every feature in Qelvoro Tech is built for dermatology workflows specifically — not adapted from generic SaaS tooling.
Recognizes 15+ dermatological conditions — acne, eczema, psoriasis, rosacea, and hyperpigmentation among them — using a trained convolutional neural network.
See how a condition changes across visits with quantitative trend lines, so outcomes are measured — not guessed at.
Build a structured PDF report in one click — findings, annotated images, notes, progress charts, and recommendations included.
Every clinic account supports multiple roles — administrator, attending dermatologist, clinical assistant — each scoped to what they actually need.
Images, notes, and analysis results live in structured relational records with encryption at rest, with access enforced through AWS IAM policies.
The whole platform runs in the browser. No client software, no plugins — just a secure login and you're in.
| Workflow Step | Without Qelvoro Tech | With Qelvoro Tech |
|---|---|---|
| Image Storage | Phone galleries, USB drives, scattered email threads | Encrypted object storage in Amazon S3, linked directly to patient records |
| Condition Assessment | Visual judgement only, no quantitative scoring | AI-based classification with confidence score and severity index |
| Progress Tracking | Verbal notes, subjective comparison, no baseline | Quantitative trend charts across every recorded clinic visit |
| Report Generation | Manual Word or PDF documents, 20–40 min per report | One-click structured PDF report in under 60 seconds |
| Record Access Control | No enforced access control on shared drives | Role-based access with per-record audit trails |
| Data Security | Varies by clinic; often no formal compliance posture | AES-256 at rest, TLS in transit, AWS IAM-enforced access |
We're accepting pilot clinic applications now. Join the early access cohort and help shape where the product goes next.