SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, recently announced it has raised an additional $70M of funding led by Maverick Capital, with participation from Point72 and Jericho, as well as existing investors Amplify Partners, Dell Technologies Capital, Lip-Bu Tan and others. SiMa.ai will utilize the $270M raised to date to continue meeting customer demand for edge AI/ML with its first-generation Machine Learning System-on-Chip (MLSoC) while accelerating the delivery of its second-generation MLSoC for release in Q1 of 2025, the company informed.
With the release of the second-generation MLSoC, SiMa.ai will unveil one software-centric platform for all edge AI. SiMa.ai’s ‘one platform for all edge AI’ scales with customers as their AI/ML journey evolves, from computer vision, to transformers to multimodal generative AI.
The rapid proliferation of generative AI is simplifying the way we interact with AI/ML, namely through multimodal inputs such as text-to-speech, text-to-image, speech-to-text, speech-to-image, audio-to-image, image-to-image and image-to-video. Edge devices such as robots, drones, diagnostic machines, autonomous vehicles and more must be equipped to handle this new, more collaborative interface.
The first-generation SiMa.ai MLSoC claims to deliver better ing performance and efficiency for vision-centric edge inference. Future generations, said the company, will power and process any modality customers prefer with even greater performance and power efficiency.
“AI — particularly the rapid rise of generative AI — is fundamentally reshaping the way that humans and machines work together. Our customers are poised to benefit from giving sight, sound and speech to their edge devices, which is exactly what our next generation MLSoC is designed to do,” said Krishna Rangasayee, Founder and CEO at SiMa.ai.
“The computational intensity of generative AI has precipitated a paradigm shift in data center architecture. The next phase in this evolution will be widespread adoption of AI at the edge. Just as the data center has been revolutionized, the edge computing landscape is poised for a complete transformation,” said Andrew Homan, Senior Managing Director at Maverick Capital.
