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Taiwan’s Foxconn contributes to Kneron’s $49 M additional funding round

Foxconn, HH-CTBC Partnership (Foxconn Co-GP Fund), and Alltek contributed $49 million in strategic funding to Kneron, a San Diego-based full-stack artificial intelligence (AI) company, bringing the company’s total Series B financing to $97 million.

According to a statement from Kheron, Horizons Ventures led the entire round, with participation from Liteon Technology Corp., Adata, Palpilot, Foxconn, and HH-CTBC Partnership (Foxconn Co-GP Fund) on various extensions.

The Liteon Technology Corporation and Adata previously provided Kneron with $48 million in funding.

Kneron has received a total of $190 million in funding to date after receiving an additional $49 million from Foxconn, HH-CTBC Partnership (Foxconn Co-GP Fund), and Alltek.

The additional funds, according to Kneron, will be used to speed up the implementation of advanced AI, with an emphasis on nano GPT solutions for the automotive industry in particular.

Kneron’s primary goal with this round of funding is to increase its efforts to help AI enable autonomous driving.

Its most recent ultra-lightweight AI chips use transformers, which are frequently used in language processing, to improve time-series processing and take an all-encompassing approach to image data.

Kneron has improved contextualization and processing to increase image-based applications’ accuracy by at least 30%, which represents a significant advancement for autonomous driving.

In order to hasten the implementation of advanced AI, including nano GPT for automotive and other applications, Kneron is also strengthening its partnership with Foxconn.

In a crucial step for this initiative, Kneron is collaborating with Foxconn to develop an incredibly light AI chip that uses the cloud to run GPT models.

Kneron is a San Diego-based company that was established in 2015 and offers complete integrated hardware and software solutions for on-device edge AI inferencing.

By addressing the three main issues of latency, security, and cost, its lightweight reconfigurable solutions enable AI everywhere.

 

 

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