Unisound

Beijing Unisound Information Technology Co., Ltd. known as Unisound, is a Chinese privately held company based in Beijing, China. Unisound is a unicorn startup[1] specialising in speech recognition and artificial intelligence services applicable to a variety of industries.[2] The company is focused primarily on R&D with a majority of employees holding doctoral degrees specialising in speech recognition.[3]

Unisound
Native name
云知声
Private
IndustryTechnology
Founded2012 (2012)
Headquarters
Beijing
,
China
Number of locations
4
Area served
Worldwide
Key people
  • Huang Wei (CEO)
Websiteunisound.com

History

Since the company was founded in 2012 by Huang Wei it has raised over $250 million.[4] In 2018 Unisound raised $100M from the China Electronics Health Fund.[5]

Technology

Unisound has been involved in academic research relating to voice recognition technologies and acoustic modelling powered by deep neural networks.[4][6]

In 2018, Unisound developed their product Swift which they described as the first AIoT chip due to its combination of AI and IoT technologies.[7] The development of Swift was accelerated due to strategic collaborations with Baidu and IngDan (a subsidiary of the Cogobuy Group).[8] Due to the chip's implementation of deep learning and AI, it is purported to process up to 50 times faster than other AI chips on the market.[8]

Their technology has been developed for industries such as TV manufacturing, air conditioner production, healthcare and automotive technology.[5]

References
  1. "China Unicorn Ranking" Archived 2017-12-03 at the Wayback Machine, China Money Network, May 2017
  2. "Beijing Unisound Information Technology Co., Ltd.: Private Company Information - Bloomberg". Bloomberg. Retrieved 16 January 2019.
  3. "Unisound | Crunchbase". Crunchbase. Retrieved 21 January 2019.
  4. "China's AI Industry Has Given Birth To 14 Unicorns: Is It A Bubble Waiting To Burst?". Forbes. 5 October 2018.
  5. "Chinese AI Firm Unisound Raises $100M Series C Round Led By China Electronics Health Fund". China Money Network. 11 May 2018.
  6. Long, Yanhua; Ye, Hong; Li, Yijie; Liang, Jiaen (2 September 2018). "Active Learning for LF-MMI Trained Neural Networks in ASR" (PDF): 2898–2902. doi:10.21437/Interspeech.2018-1162. Cite journal requires |journal= (help)
  7. "INGDAN.com Partners with Unisound's Open Source Chip Program to Support AIoT Technology Development". Geospatial World. 15 October 2018.
  8. "Cogobuy Supports Unisound in Release of World's First AIoT Chip". Market Watch. 17 May 2018.
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