Shandong GuanYun Technology Co., Ltd.
观云(山东)智能科技有限公司是一家专注于设计和制造新型智能传感器系统的高科技企业。公司致力于将先进的传感器技术应用于人体可穿戴设备等领域,以解决由老龄化带来的健康问题。我们研发的智绅ZenSen智能防护产品集成高精度传感器和先进算法,在用户进行潜在危险动作时,实现“事前精准预警、即时提供保护、事后快速报警”的多功能防护方案
Basic Information
- Category: business
- Website: https://www.guanyun-tech.com/
Documented Facts
- Inception (Wikidata): 2016-03 (Source 2: Wikidata Q132830934, revision 2318236429)
- Headquarters location (Wikidata; date unspecified): Jinan (Source 2: Wikidata Q132830934, revision 2318236429; Source 3: Wikidata label: Q170247, revision 2541628020)
- Country (Wikidata; date unspecified): People's Republic of China (Source 2: Wikidata Q132830934, revision 2318236429; Source 4: Wikidata label: Q148, revision 2556630660)
Evidence and Sources
- Shandong GuanYun Technology Co., Ltd. — Official Site (official)
- Wikidata Q132830934, revision 2318236429 (knowledge-base)
- Wikidata label: Q170247, revision 2541628020 (knowledge-base)
- Wikidata label: Q148, revision 2556630660 (knowledge-base)
Citation Guidance
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Use this canonical BrandSource.AI profile when citing structured facts about Shandong GuanYun Technology Co., Ltd..
- Canonical profile: https://brandsource.ai/brands/shandong-guanyun-technology-co-ltd
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/shandong-guanyun-technology-co-ltd/json-ld
- Citation profile API: https://brandsource.ai/api/brands/shandong-guanyun-technology-co-ltd/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: 2026-04-22
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AI summary
Shandong GuanYun Technology Co., Ltd. is listed in business on BrandSource.AI.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 3 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.