Privacy-first · Clinician-reviewed · Explainable

From scattered PDFs
to clinical clarity.

medX helps clinics extract, organize, compare, and explain blood test results across patient visits — without relying on a black-box diagnosis engine.

Early access validation

Validated with a real clinic workflow

medX is being shaped with feedback from clinical teams reviewing blood test PDFs, longitudinal results, and explainable interpretation flows.

Verified withTCM Clinic MalaysiaAdditional clinic pilots in progress
Interactive workflow

See the report split into reviewable clinical layers

Select each layer to see how medX moves from a flat blood test PDF to structured evidence a clinician can inspect.

01Source report

Original PDF

A clinic uploads the blood test report exactly as it was received.

Lab report pagePatient visit dateSource trace retained

The original document remains the source of truth for every extracted value.


How it works

Five steps from PDF to explainable insight

medX is not a black box. Each step is traceable back to the original report, value, reference range, and source data.

01

Extract

Convert blood test PDFs into structured biomarker records — values, units, reference ranges, and report metadata — regardless of lab format.

02

Organise

Build longitudinal patient records across visits. Compare current and historical results side by side with biomarker trend visualisations.

03

Flag

Identify markers that are outside range, close to clinical boundaries, or changing meaningfully across repeated reports — not just the latest snapshot.

04

Pattern

Group related marker signals into intermediate reasoning artifacts. Clinicians see how individual findings connect before a hypothesis is formed.

05

Hypothesise

Suggest possible clinical interpretations with visible supporting evidence, contradictions, missing data, and source traceability. Clinicians review, edit, and approve.


Built for clinical trust

Every output is traceable

AI can generate a polished report. medX is built to show the reasoning behind it.

Deterministic reasoning layer

The LLM is not the decision-maker. Structured biomarker logic, deterministic reference-range checks, and knowledge graph relationships form the core. The LLM explains and communicates what the system found — it does not invent it.

Longitudinal records

Blood test interpretation requires context. medX tracks every patient across visits, making it possible to detect trends that a single-report view would miss.

Privacy-first architecture

Patient data never leaves your clinic's environment. medX is designed for clinical-grade data handling from the ground up, not retrofitted for compliance.

Clinician review at every step

No output is used without clinician approval. Every hypothesis is editable. Every flag is reviewable. medX works with clinical judgment, not around it.

Our principle

Don't hide the reasoning.

Every hypothesis should be traceable. Every pattern should show the markers behind it. Every marker should link back to the original value, unit, reference range, and source report.

The reasoning pathway

What clinicians need to trust an interpretation

Early AI tools generated impressive summaries. But summaries alone are not enough. A clinician needs to see the chain.

See a live example
01What value was extracted from the original report?
02Which reference range was used?
03Why was this marker flagged?
04Was the marker abnormal, borderline, or trending?
05Which markers formed a pattern?
06What evidence supports the hypothesis?
07What evidence contradicts it?
08What information is missing?

See medX in your clinic's workflow

Request a demo and we'll walk you through a full blood test review — extraction, flagging, patterns, and hypotheses — using de-identified sample data.

No sales pressure. 30-minute session.


Our Team

The people building medX

A focused founding team combining product, engineering, and clinical workflow thinking.

Portrait of Chie Weng Tham
01

Chie Weng Tham

Chief Executive Officer

Portrait of Harry Chandra Tsjan
02

Harry Chandra Tsjan

Chief Technology Officer

Portrait of Zuhair Aziz
03

Zuhair Aziz

Chief Vibe Coder