WeeMed AI

Building a globally standardized, AI-driven digital health and long-term care platform for aging societies.

FHIR-first. Integrated health data, intelligent decision support, personalized preventive medicine — deployed in real clinics, health-screening centers, and community long-term care sites in Taiwan.

AI accelerates digitization; it isn't the product.

Based in Taichung, Taiwan.

What we release here

We ship models that fall out of real deployment problems, and we publish the measurements, not just the weights.

🎙️ Breeze-ASR-26 — Taigi + Mandarin ASR for the edge

Quantized redistributions of MediaTek-Research/Breeze-ASR-26 (Apache-2.0) in three runtimes — pick by your constraint:

Measured on real multi-speaker Mandarin meeting audio. Mandarin does not regress; Taigi is transcribed as Mandarin meaning, not verbatim Taigi characters.

Why this matters to us

Taiwan is aging fast, and the people doing the caring — nurses at screening centers, care managers at community sites, elders themselves — mostly do not speak in written Mandarin. They speak Taigi, in noisy rooms, on tablets held in one hand. Health tech that only understands clean written Mandarin does not meet them where they are.

How we publish

• Honest benchmarks. We report the number that survives scrutiny, including when it kills our own hypothesis.
• Named gaps. What we could not measure is written down as an open gap, not omitted.
• Real audio, real clinics. Benchmarks on synthetic data only tell you about synthetic data.

_{Apache-2.0 unless stated otherwise · Made in Taichung, Taiwan}