Medtrip secures pre-seed funding from Hasan.VC to build AI tools for medical tourism

Indonesian medical concierge startup Medtrip closed a pre-seed round led by Hasan.VC to build AI tools for cross-border patient care. The company connects Indonesians with 80+ hospitals in Malaysia, Singapore, and South Korea.

Categorized in: AI News Product Development
Published on: May 09, 2026
Medtrip secures pre-seed funding from Hasan.VC to build AI tools for medical tourism

Indonesian Medical Startup Medtrip Raises Pre-Seed Funding for AI Products

Medtrip, an Indonesian medical concierge startup, closed a pre-seed funding round led by Hasan.VC. The company plans to use the capital to develop AI-based products that help patients navigate cross-border healthcare.

The startup connects patients with hospitals and doctors across Malaysia, Singapore, and South Korea. Medtrip currently partners with more than 80 hospitals and has tripled revenue as patient volume increased.

The Problem Medtrip Addresses

Between 600,000 and one million Indonesians seek medical treatment abroad each year, according to government data cited by the company. Most face two obstacles: lack of cost transparency and complex logistics.

Patients struggle with bureaucracy, information gaps, and difficulty comparing treatment options across borders. Medtrip handles everything from cost estimates to travel arrangements.

How AI Fits In

The company will allocate funding toward developing AI products that streamline the patient experience. The technology aims to reduce medical bureaucracy and make treatment recommendations more targeted.

Danang Firdaus, Medtrip's co-founder and CEO, said the startup built the platform to make finding treatment abroad "much easier and more targeted." The AI work is expected to remove geographical barriers in accessing healthcare services.

Beyond product development, Medtrip will use the funding to strengthen operations and expand its reach to more patients.

For product development professionals working in healthcare, Medtrip's approach illustrates how AI can address specific operational friction points rather than serving as a general enhancement. The company identified concrete problems - cost opacity, logistical complexity - and is building AI to solve them.


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