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AI Skin, Hair & Wellness Platform

MedicsIQ

AI-Powered Precision Wellness at Consumer Scale

MedicsIQ combines computer vision, skin and scalp assessment, and recommendation intelligence into a single platform — built for D2C brands, Ayurveda brands, wellness retailers, and consumer-facing experiences.

  • <3 second assessment time
  • 12+ skin and scalp biomarkers
  • SaaS, API and kiosk deployment models
  • Product mapping and commerce integration
  • Multi-brand and white-label ready
MedicsIQ Skin Analysis Platform

12+ Biomarkers

Analysed in <3 seconds

<3s

Assessment Time

Real-time results

12+

Skin Biomarkers

Skin and scalp analysed per session

3

Deployment Models

SaaS, API and kiosk

Brand Support

Multi-brand and white-label ready

Platform Capabilities

What MedicsIQ Does

AI Skin Analysis
AI Skin Analysis

Precision skin intelligence from a smartphone camera.

MedicsIQ's vision layer analyses facial skin across 12+ skin and scalp biomarkers — hydration, sebum production, melanin distribution, texture uniformity, and more. Results are generated in under 3 seconds and presented in a structured assessment report for brands and consumers.

Product Mapping & Commerce
Product Mapping & Commerce

Recommendations tied directly to any product catalogue.

MedicsIQ is built to bridge wellness assessment output with commerce. Each skin report maps to your product SKUs — with ingredient-level rationale, ingredient compatibility notes, and usage protocols. The platform is multi-brand ready, supporting white-label deployments across any product ecosystem.

AI Wellness Intelligence
Scalable Wellness Intelligence

Aggregate insights across thousands of sessions.

At scale, MedicsIQ becomes a population-level wellness intelligence layer. Wellness brands and retail chains see anonymised aggregate data — which skin concerns are most prevalent, which product protocols yield the best outcomes, and where geographic or demographic patterns emerge. This converts wellness data into brand strategy.

Key Features

Built for Precision Wellness.
Designed for Consumer Scale.

01

AI-Powered Skin & Hair Analysis

Camera vision model optimised for India-centric skin tones and hair types — analysing 12+ biomarkers including hydration, sebum, melanin, texture, and scalp health from a single photo capture in under 3 seconds.

02

Personalised Product Recommendations

Maps each skin and hair analysis result to any product catalogue — delivering ingredient-level justification for every recommendation across any brand or SKU library.

03

Voice Chat AI Assistant

Conversational voice AI with regional language support for intuitive product discovery, consumer onboarding, and personalized routine building — making wellness accessible across language barriers.

04

Overall Wellness Tracker

Monitors holistic user wellness metrics across multiple sessions to contextualize product efficacy, track routine improvements, and reveal measurable progress over time.

05

Optimized Edge Deployment

AI inference targeted directly on edge devices — maximising privacy, reducing latency, and enabling offline capabilities for kiosk and retail environments without cloud dependency.

06

Transparent Recommendation Logic

Every recommendation surfaces ingredient-level rationale, compatibility matching, and the underlying biomarker evidence — so advisors and consumers understand exactly why each product was suggested.

Product & Commerce Integration

Wellness Intelligence Meets
Product Commerce

MedicsIQ integrates with any product ecosystem — turning every skin analysis into a conversion-ready recommendation across multiple brands and catalogues.

Multi-Brand SKU Mapping Engine

Each skin biomarker output is cross-referenced with your full product taxonomy in real-time — supporting any brand catalogue or SKU library.

Ingredient Intelligence Layer

AI surfaces active ingredient compatibility and usage guidance — supporting both wellness advisor review and consumer explanation across any product range.

Protocol-Driven Workflows

Branded usage protocols auto-generated per recommendation, ready for print or digital consumer handoff — white-label customisable per deployment.

Commerce Analytics Feed

Recommendation acceptance rates, product conversion data, and protocol adherence metrics piped into your BI stack or analytics platform.

Use Cases

Where MedicsIQ Deploys

👤

Consumer Wellness

Mobile apps and web portals for consumer self-serve skin and hair scanning, voice-assisted consultations, and instant purchasing — driving acquisition, engagement, and repeat purchase for any D2C wellness brand.

🏪

Retail & Experience Centers

Point-of-sale interaction layer to guide consumers to the right products and reduce buying hesitation. MedicsIQ turns every retail touchpoint into a personalised wellness consultation that converts.

🛍️

Beauty-Tech Retail & Edge Kiosks

Edge-powered interactive kiosks or QR-triggered experiences that convert browsers into buyers using localized processing. Regional language voice support makes every kiosk interaction feel natural and personal.

Technology

Architecture Built for
Wellness Deployment

1

Capture

Photo input via mobile app, kiosk, or clinic tablet

2

Analyse

12+ biomarker AI model runs on edge or cloud inference

3

Recommend

Skin report + SKU mapping delivered in under 3 seconds

Compliance & Ethics

Responsible AI at Every Layer

Privacy-First Architecture

No biometric data retained without explicit consent

Explainable AI

Every output surfaced with supporting biomarker evidence

Expert Validation

Model accuracy benchmarked against skincare and wellness expert assessments

User Consent Workflows

Built-in digital consent capture aligned with PDPA/GDPR requirements

GDPR / PDPA Compliant

Data handling protocols aligned with international privacy regulations

Ready to Transform
Skin & Wellness Intelligence?

Whether you're a wellness brand, an Ayurveda brand, a D2C company, or a retail platform — MedicsIQ gives you precision wellness AI at consumer scale.

Deploying for your brand? See how DSeT ARC™ takes MedicsIQ from discovery to go-live →