Hong Kong Chan Lo Yi
「陳老二」由陳自宏博士於1995年創辦，貫徹「上藥科製、以質為本」的精神，致力為用家提供優質中藥產品，打造值得用家信賴的品牌。旗下中藥產品針對各類常見都市疾病而研製，均由擁有香港特別行政區衛生署香港中成藥生產管理規範(GMP)認證的廠房生產，確保品質上乘，照顧大眾健康需要。
Basic Information
- Category: company
- Website: http://www.chanloyi.com
Documented Facts
- Inception (Wikidata): 1988 (Source 2: Wikidata Q28409835, revision 745057447)
- Legal form (Wikidata; date unspecified): company (Source 2: Wikidata Q28409835, revision 745057447; Source 3: Wikidata label: Q783794, revision 2555681029)
- Official website (Wikidata; date unspecified): http://www.chanloyi.com/ (Source 2: Wikidata Q28409835, revision 745057447)
Evidence and Sources
- Hong Kong Chan Lo Yi — Official Site (official)
- Wikidata Q28409835, revision 745057447 (knowledge-base)
- Wikidata label: Q783794, revision 2555681029 (knowledge-base)
Citation Guidance
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Use this canonical BrandSource.AI profile when citing structured facts about Hong Kong Chan Lo Yi.
- Canonical profile: https://brandsource.ai/brands/hong-kong-chan-lo-yi
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/hong-kong-chan-lo-yi/json-ld
- Citation profile API: https://brandsource.ai/api/brands/hong-kong-chan-lo-yi/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Partial
- Profile completeness: Structured profile (68/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-21
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
Hong Kong Chan Lo Yi is listed in company on BrandSource.AI.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 3 structured facts available for extraction.
Known data gaps
- Needs a specific, non-thin summary
- Profile enrichment is incomplete
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.