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SiMa.ai Unveils Next-Gen ML SoC for AI Edge

  • Flexible and comprehensive SoC design, designed to support diverse input models and frameworks.
  • Series B round raised $30 million from Maverick Capital, Point72, Jericho and Series E round total reached $270 million for global expansion.
  • Expansion into Second-Gen ML SoC, scheduled release of second-gen ML SoC in 2025.

As an emerging start-up from San Jose, SiMa.ai introduced its first ML SoC, which is an integrated software and hardware supporting both AI and ML in one house.

The company’s Palette chipset and software already being adopted by the majority of the companies across the world (50 companies) is the brainchild of Krishna Rangasayee, the founder and CEO of SiMa.ai.

Seeing the expanding market for GenAI, SiMa.ai is scheduled to introduce the second-gen ML SoC in the first gridiron of 2025. The updated SoC that is being released provides customers with the capability of performing multimodal GenAI and will be an enhanced version of the predecessor implementing those changes.

The new GenAI SoC has been thought out to be flexible at diverse input models such as frameworks, networks, models, and sensors. It is quite alike to the existing ML framework and multimodal data can also be incorporated such as speech, text, image, and audio.

The vision behind this SoC is to offer a single platform on which all AI applications would gather; this including computer vision, transformers, and GenAI.

As for SiMa.ai, the company has received new funding from Maverick Capital, Point72, and Jericho which brings together the Series B round total to $30 million. Having old investors such as Amplify Partners and Dell Technologies Capital also onboard completes the financing round. 

The tech has now raised its series E round to a total of $270 million. It aims at staffing up a team of customer-facing professionals around the world starting off in Korea, Japan, Europe, and the United States.

Andy Hom, Senior Managing Director of Maverick Capital welcomed SiMa.ai's entry into the AI edge computing industry.


Edited by Shruti Thapa

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