01/compliance

Review an Instagram post for medical aesthetics and flag risks under medical advertising rules and platform policies.

02/clinical

Build a natural-looking treatment plan for a 30-year-old with mild midface volume loss, with contraindications and post-care notes.

03/content

Combine product registration data, clinical evidence and KOL scripts into a publishable content brief.

04/monitor

Track recurring product questions across recent conversations and generate a knowledge-base gap list for the team.

Medcxy

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Evidence-based decisions for clinical aesthetics — hand the daily review, search, judgement and content prep to Medcxy, a decision support system that knows the rules, the products and the clinical evidence.

Get to workSee how it works

About Medcxy

An AI operating layer for medical aesthetics teams.

You don't have to jump between regulations, platform rules, product specs, clinical literature and chat history. Medcxy breaks the question down, finds the evidence, and organises the conclusion into team-reviewable language.

It's not a one-line chat box — it's a workspace that continuously handles the medical aesthetics workflow: review copy, compare products, generate plans, archive evidence, and remind you what's next.

Integration layer

Medcxy integrates

Regulations, platforms, products, clinical data and team conversations — all unified into a workflow that's citable, traceable and reusable.

Medical advertising rulesCN / US / UK / EU / AU / JP / KRInstagramTikTokNMPAPubMedSupabaseNotionSlackTeamsMedical advertising rulesCN / US / UK / EU / AU / JP / KRInstagramTikTokNMPAPubMedSupabaseNotionSlackTeams

Steps

How it works

01

Brief Medcxy on the task

Describe the goal in natural language. Compliance, clinical, product and content requests all get broken into executable steps.

02

Orchestrate knowledge and the model committee

The system searches regulations, platform rules, product data and clinical literature, then has multiple models cross-check.

03

Deliver reviewable results

Answers come with citations, risk levels, suggested phrasing and next actions — ready for the team to act on.

Glass orb reflecting code and a task-monitoring view
Medcxy review consoleLive review
Risk
MED
Sources
12
Actions
4

High-risk phrases like "permanent effect" and "instantly gone" detected. Suggest rewriting as verifiable experience descriptions and adding individual-variation disclaimers.

Cited medical advertising rules (CN / US / UK / EU / AU / JP / KR), Instagram community guidelines and product indication data — review checklist generated for the team.

Open the workspace

Features

What Medcxy does for you

Connect compliance, products and clinical evidence
Integrate
4 knowledge domains

Connect compliance, products and clinical evidence

Bring regulatory text, NMPA registration, platform rules and internal SOPs into one traceable system.

Produce content plans that pass review
Create
Content + compliance

Produce content plans that pass review

From promotional scripts to post-procedure reminders — generate first, then automatically surface risk notes and rewrite options.

Navigate evidence chains for complex clinical questions
Research
Citations traceable

Navigate evidence chains for complex clinical questions

Turn indications, contraindications, complication management and literature leads into team-reviewable conclusions.

Surface the team's knowledge gaps continuously
Monitor
Continuous learning

Surface the team's knowledge gaps continuously

Spot recurring risk points from conversations, projects and review records, and prompt you to top up materials and processes.

Medcxy · Blog

Compliance and regulatory data, in practice

We write up what we learn working on aesthetics compliance and cross-border regulatory data: the high-risk claims that get ads taken down and how to rewrite them, NMPA/FDA/CE/PMDA/MFDS approval comparisons, and how AI workflows actually fit into a team.

All articles
Compliance

What is medical aesthetics ad compliance AI? A working definition for 2026

What compliance AI actually does for aesthetics teams — sentence-level rule checking, risk grading, cited rules and rewrite suggestions — plus six questions to ask any vendor claiming to do it.

Compliance

Best AI tools for medical aesthetics in 2026: clinic operations vs compliance and regulatory data

A comparison of the tools that actually appear in this category — Pabau, Nextmotion, Clinicminds, Zenoti, Aesthetic Record, AestheticsPro for clinic operations, and IQVIA, Clarivate and Medcxy for compliance and regulatory data — plus how to tell which category you need.

Get started

Let Medcxy get to work

Sign in to the workspace and hand Medcxy your first piece of copy, a product question, or a clinical query. It will return the answer, the evidence and the next step together.

Try MedcxyOpen workspace

Frequently asked questions

What is Medcxy?
Medcxy is an AI platform for medical aesthetics teams. It reviews advertising copy sentence by sentence against advertising rules and platform policies, answers product and regulatory questions from national registries, searches clinical evidence, and runs a multi-model committee for high-stakes questions.
Who is Medcxy built for?
Clinic marketing and compliance teams who review copy before publishing, product and procurement teams who verify approvals across markets, and clinical staff who need referenced answers about treatments and complications.
Is Medcxy a clinic management system?
No. Medcxy does not do booking, patient records, photography or billing — it is not a CRM or EMR. It covers the compliance, regulatory and clinical knowledge layer, and works alongside whatever practice management software a clinic already uses.
What does compliance review actually check?
Every sentence is checked against advertising law, medical advertising rules and platform community policies. Each flag comes with a risk level, the rule it violates, and a compliant rewrite suggestion, so the reviewer can see why a line was flagged instead of guessing.
Which product approval data does it cover?
Product and approval lookups draw on national registries including China's NMPA, the US FDA, EUDAMED, Japan's PMDA and Korea's MFDS, with registration numbers you can verify at the source.
Can it answer clinical questions?
Yes — clinical questions are answered with references from the platform's clinical knowledge base and PubMed. Answers are written for professionals, include the evidence they rely on, and are for reference only: they do not replace professional judgement or a face-to-face assessment.
Which languages and currencies are supported?
The interface is available in Simplified Chinese, Traditional Chinese (Hong Kong), English, Spanish, Japanese and Korean. Paid plans can be billed in CNY, USD or HKD at fixed list prices.
Do I need to pay to try it?
No. A free account needs no payment method and covers basic chat. Full compliance review, product and clinical evidence search, the literature library and the Model Committee require a Pro or Max subscription.