Built by a clinician,
for healthcare professionals.

Medical knowledge grows faster than any clinician can read. Guidelines update yearly, new evidence emerges daily, and the literature that informs clinical decisions sits scattered across PDFs, journals, and institutional repositories.

Existing AI tools either lack access to your specific literature, hallucinate references, or require you to trust answers without citations. None of them treat the source document as the single source of truth.

Medevidex was built by a clinician who needed a better way to query medical literature. The idea was simple: upload the documents you already have access to, and ask questions that are answered directly from those documents — with every answer citing the exact source, page, and passage.

“Grounded in your literature” is not marketing. Every answer traces back to a document you uploaded. Nothing is fabricated, nothing is anonymous.

• Privacy by architecture

  Your documents are tenant-isolated. No cross-user sharing, no staff access, no third-party exposure. This is an architectural guarantee, not a policy promise.

• Multimodal understanding

  Text, clinical figures, and tables are all indexed. When you ask about a treatment algorithm or a diagnostic image, the system finds and cites the right figure.

• Citation is the product

  Every answer includes the document name, page number, and relevant passage. An answer without a traceable citation is a failure state in our system.

Medevidex is built and operated by Dr Badrulhisham Bahadzor, a consultant urologist based in Malaysia. The project combines clinical experience with a passion for making evidence-based practice more accessible through technology.

For general enquiries, feature requests, partnership discussions, or rights holder questions: