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Jina AI
Germany
- Berlin
- 22/11/2021
- Series A
- $30,000,000
Jina AI is a Neural Search Company, providing cloud-native neural search powered by state-of-the-art AI and deep learning. Found in 2020. & led by Canaan Partner and GGV Capital with $40M, Jina AI is recognized as one of the most promising startups in AI open-source software.
Our mission is to build an open-source neural search ecosystem for businesses and developers, enabling everyone to search for information in all kinds of data with high accessibility and scalability.
We don’t lock up our values and innovations in "the way people have always done". We are receptive to change — when we don’t like something, we change it and make it better. We always believe that those who really make changes are the ones convinced that change is possible.
Life is short and time is precious. We want to spend time only on the right things that we do believe. Universal search engine, open AI technology and cross-border collaborations, these are the bright future that we believe in and fully commit to.
We are hiring AI engineers, full-stack developers, open-source evangelists, PMs. If you see what we see, share what we believe in, then click the opportunity button below. Exciting journey is waiting for us.
Contact
- Contact: hello@jina.ai
- Twitter: @JinaAI_ (with underscore at the end)
- Website: https://jina.ai
- Github: https://opensource.jina.ai
- Youtube: https://webinar.jina.ai
- LinkedIn: https://www.linkedin.com/company/jinaai
- Industry Software Development
- Website https://jina.ai/
- LinkedIn https://www.linkedin.com/company/jinaai/
Related People
Han XiaoFounder
Germany -
Berlin, Berlin,
Dr. Han Xiao is the Founder & CEO of Jina AI, a commercial opensource company based in Berlin. Since its founding in 2020, Jina AI has raised $38M from top investors, including GGV, Cannan, YUNQI, SAP.io. Jina AI is one of the most promising AI startups globally according to CBInsights 2022, 2021 and Forbes DACH 2020.
In 2018-2020, Dr. Han Xiao was leading a team on neural information retrieval at Tencent AI, laying down the next-gen search infrastructure for a China’s everyday app: Wechat. Han served in the Tencent Technical Advisory Council and Opensource Program Office, fostering the open-source and DevOps culture inside the company. Han is an AI open-source evangelist. His Fashion-MNIST and bert-as-service were listed as the most popular AI open-source projects in 2017&18 world-widely.
In 2019, Han served as a board member at LF AI Foundation. He is also the Founder & Chairman of the German-Chinese Association of AI.
Before joining Tencent, Han worked at Zalando in Berlin for 3.5y. He received his Ph.D. (2014) and M.Sc. (2009) in computer science from the Technical University of Munich in Germany. His Ph.D. is about adversarial and robust learning on Bayesian and non-parametric Bayesian methods.
Selected talks & interviews:
- Interviewed by MIT Technology Review: https://www.technologyreview.com/2022/05/30/1052879/censoring-china-open-source-backfire/
- Interviewed by the Nature Magazine: https://nature.com/articles/d41586-019-01681-x
- Interviewed by Alex Williams from the New Stack: https://www.youtube.com/watch?v=mfvvWlj5uwA
- Keynote at Applied Artificial Intelligence Conference 2019, Vienna, Austria, invited by the Economic Chamber of Austria: https://aaic2019.b2match.io
- KubeCon + CloudNativeCon China 2019: AI/ML Media & Analyst Roundtable, Shanghai, China
- Opening talk & Keynote at the annual meeting of GCAAI 2019, Berlin, Germany
- Interviewed by the derbrutkasten (an Austrian tech-focused media): https://www.derbrutkasten.com/interview-from-the-applied-ai-conference-2019/
- Interviewed by OÖNachrichten (an Austrian local newspaper): https://www.nachrichten.at/wirtschaft/wirtschaftsraumooe/wir-lernen-vor-allem-von-den-spielern;art467,3134599
- Interviewed by Die Chinesische Handelskammer in Deutschland (德国中国商会): http://chk-de.org/wp-content/uploads/2019/04/CONNECT-19-01-CHN-web.pdf
- Talks at Amazon, SAP, HERE, OLX, Axel-Springer, Zalando, Carmeq, Porsche Digital Lab, appliedAI, etc. 2018-2019
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