Code openness is how
"no private moat" is provable

All CareEZ source code is released under Apache 2.0 — clinical triage logic, IDDSI classifier, multilingual API, and the full public site. If we say the software is safe, anyone can check.


Everything ships under a single open licence

CareEZ publishes every production repository publicly under Apache 2.0. The licence applies to all components listed below — no source-available carve-outs, no open-core split, no time-delayed releases.

rayc0/seniordeli-website
API server (Cloudflare Workers) — apps/api/* + src/app/api/*
Live
rayc0/careez-org
careez.org public site — this site
Live
rayc0/careez-demo
demo.careez.org — interactive IDDSI classifier demo
Live
rayc0/softmeal-org
softmeal.org public site
Live
rayc0/dysphagia-knowledge-hub
dysphagia.cn — clinical knowledge hub
Live
rayc0/seniordeli-openclaw
OpenClaw skill packages — 6-package multilingual AI toolkit
Y1 Q1 2027

Five reasons openness is non-negotiable for clinical software


Why Apache 2.0 — not MIT, not GPL

We evaluated MIT, GPL-3, LGPL, and Apache 2.0. Apache 2.0 was the only licence that satisfied all four constraints simultaneously.

Patent protection

Apache 2.0 includes an explicit patent grant. Users receive a licence to any patents we hold that are necessarily infringed by using the software. We won't sue you for using our patents.

No copyleft

Commercial integrations are welcome. A hospital vendor, a care home software provider, or a government IT contractor can embed CareEZ components without being required to open their own codebase.

Standards adoption

Compatible with HKCSS standard adoption and future Asian-government deployments. Government IT offices in HK, SG, and TW recognise Apache 2.0 without requiring legal review.

Mainstream and understood

Apache 2.0 is one of the most widely-used open source licences. Legal teams, procurement officers, and developers know what it means — reducing friction at every adoption step.


6-package multilingual AI toolkit — shipping Y1 Q1 2027

OpenClaw packages let any AI assistant or care platform integrate CareEZ's IDDSI classifier, dysphagia screener, and recipe modifier as first-class skills. All packages publish under Apache 2.0 via the @seniordeli npm org.

Scope transferable on request — the @seniordeli npm scope can be transferred to HKCSS or a public custodian upon request. We have no intention of holding the namespace hostage to a commercial entity.

Package Description Status
@seniordeli/care-food-assessor Core IDDSI classifier — level detection from photo or text description Scaffolded
@seniordeli/care-food-cantonese Cantonese (廣東話) delivery layer for care-food-assessor Scaffolded
@seniordeli/care-food-tagalog Tagalog delivery layer — HK's largest foreign domestic worker language Scaffolded
@seniordeli/care-food-bahasa Bahasa Indonesia delivery layer for regional deployment Scaffolded
@seniordeli/care-food-dysphagia-screener Aspiration risk screener — structured interview + red-flag escalation Scaffolded
@seniordeli/care-food-recipe-modifier Recipe to IDDSI level converter — texture + liquid adjustments Scaffolded

npm @seniordeli org registration is pending Y0 Q4. Repository: github.com/rayc0/seniordeli-openclaw (private until publish).


How to get involved

Bug reports, translations (especially Tagalog, Bahasa, Vietnamese, and Thai), clinical accuracy review, and documentation improvements are all welcome. No contribution is too small.

View on GitHub ↗    Contribution guide →

繁體版本籌備中 — Traditional Chinese version in preparation. Clinical reference content available now at dysphagia.cn.