COCOPIE
CoCoPIE is a startup developing a platform to optimize AI models for edge devices. CoCoPIE reduces the expected time to market in order to meet if not exceed demand for applications.
COCOPIE
Industry:
Artificial Intelligence Information Technology Software
Founded:
2020-01-01
Address:
Irvine, California, United States
Country:
United States
Website Url:
http://www.cocopie.ai
Total Employee:
11+
Status:
Active
Total Funding:
10.85 M USD
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Nginx Microsoft Exchange Online Amazon Office 365 Mail Microsoft Azure DNS GoDaddy DNS
Current Employees Featured
Xipeng Shen Chief Technology Officer @ CoCoPIE
Chief Technology Officer
2021-09-01
Bin Ren Co-founder @ CoCoPIE
Co-founder
2020-08-01
Yanzhi Wang Co-founder, Chief Executive Officer, and Chairman @ CoCoPIE
Co-founder, Chief Executive Officer, and Chairman
2021-02-01
Founder
Investors List
Sequoia Capital China
Sequoia Capital China investment in Series A - CoCoPIE
National Science Foundation
National Science Foundation investment in Grant - CoCoPIE
Official Site Inspections
http://www.cocopie.ai Semrush global rank: 3.77 M Semrush visits lastest month: 3.58 K
- Host name: aec037177372cc6cd.awsglobalaccelerator.com
- IP address: 3.33.251.168
- Location: Seattle United States
- Latitude: 47.6348
- Longitude: -122.3451
- Metro Code: 819
- Timezone: America/Los_Angeles
- Postal: 98109

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CoCoPIE is a leading real-time AI optimization framework built from years of academic research. It adopts the method of compression, compilation, and co-design to realize low-cost real-time …See details»
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Founded in 2020 Develops full-stack optimizations for AI, enhancing speed, reducing model size, boosting energy efficiency, strengthening user privacy, and enabling real-time use on mobile …See details»
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Aug 26, 2021 About CoCoPIE CoCoPIE is the leading software that enables real-time AI for off-the-shelf mobile devices through proprietary DL compression-compilation co-design.See details»
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The results open new opportunities for democratizing AI capability on end devices, while cautioning against the broad perception on the indispensability of special AI hardware for real-time AI on end devices. We believe these results …See details»
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CoCoPIE - GitHub
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