Healthtech · Clinical Software · 200–1000 · Asia-Pacific #b041_13

Context

We develop AI that reads medical images for radiologists and hold clearances in many markets, with a growing global team.

Industry

Healthtech · Clinical Software

Size

200–1000 employees

Region

Asia-Pacific

Tools budget

$5K–20K per month

Needs

LLM evaluation & testing. Each new model version must be validated against many findings before release, and our evaluation runs are hard to reproduce.

Today: internal clinical validation sets used to benchmark a large imaging foundation model · Urgency: this year

Regulatory reporting. Keeping regulatory files current for each country we sell into is consuming our quality team.

Today: dedicated regulatory staff prepare many national device submissions, including a recently rejected exemption petition · Urgency: now

Cloud cost optimization. Training and serving large imaging models is our biggest cloud bill, and we lack clear cost attribution.

Today: large training and inference estate on rented compute, no cost process described · Urgency: later

Who decides

cto · security review

Expects from suppliers

Experience with medical device software rules; Handles very large imaging datasets; Fits a research-heavy engineering culture

Not a fit

Generic tools unaware of medical device obligations; Vendors that cannot sign health data agreements

Stack

cloud: AWS-class hyperscaler, Kubernetes, CI/CD pipeline in place, data warehouse: cloud

Buying triggers

rapid team growth, new market or product launch