About 肯耐珂萨
o2o human resources total solution, human resources services, cloud-based hr management, cloud hr solutions, enterprise software, enterprise hr analytics, hrtech top 100, security standards, services, paas hr solutions, hr software, hr analytics, hr data analytics, hr security standards, computer systems design and related services, ai in hr, cmmi 5, iso 27001, ai-driven hr, red herring top 100
肯耐珂萨's Tech Stack
Other
Backend
Decision Makers at 肯耐珂萨
1 contactBryan Chen
Vice President, Technology
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肯耐珂萨 uses DNSPod, ASP.NET, Microsoft-IIS among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.
肯耐珂萨's Position in the StackWho Database
- • 肯耐珂萨 is 1 of 6,565 human resources companies tracked in StackWho.
- • 6,560 human resources companies in our database have verified decision-maker emails (100% of the cohort).
- • 82 human resources companies are in the 201-500 employee range (same size as 肯耐珂萨).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.
Frequently Asked Questions
What technology does 肯耐珂萨 use?
肯耐珂萨 uses DNSPod, ASP.NET, Microsoft-IIS, Baidu Ads. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at 肯耐珂萨?
StackWho has verified email addresses for 1 decision maker at 肯耐珂萨. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach 肯耐珂萨 directly for sales, recruiting, or partnerships.
What industry is 肯耐珂萨 in?
肯耐珂萨 operates in the human resources industry, headquartered in 上海市, China. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export 肯耐珂萨's contact data?
Yes. StackWho Pro members can export decision maker contact data for 肯耐珂萨 and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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