SiMa.ai, a software-centric embedded edge machine learning system-on-chip company, has recently secured an additional 70 million in funding, with Maverick Capital leading the investment and participation from Point72, Jericho, and existing investors including Amplify Partners, Dell Technologies Capital, Fidelity Management & Research Company, Lip-Bu Tan, and others. With a total of 270 million raised to date, SiMa.ai aims to meet the growing demand for edge AI/ML through its first-generation Machine Learning System-on-Chip (MLSoC) and expedite the release of its second-generation MLSoC in Q1 of 2025.
The forthcoming second-generation MLSoC will introduce a software-centric platform for all edge AI. This platform is designed to scale with customers as their AI/ML journey progresses, covering a range of applications from computer vision to transformers to multimodal generative AI.
The surge in generative AI usage has ushered in a new era of interaction with AI/ML, incorporating multimodal inputs such as text-to-speech, text-to-image, speech-to-text, and various other modalities. Edge devices, including robots, drones, diagnostic machines, and autonomous vehicles, must be equipped to handle this collaborative interface. SiMa.ai's first-generation MLSoC offers leading performance and efficiency for vision-centric edge inference, while future generations aim to enhance performance and power efficiency, supporting a wide range of modalities.
Krishna Rangasayee, Founder and CEO at SiMa.ai, emphasized the fundamental transformation driven by generative AI and the company's commitment to equipping customers with a software-centric platform that accommodates diverse modalities from computer vision to GenAI.
Andrew Homan, Senior Managing Director at Maverick Capital, noted the inevitability of AI adoption at the edge and highlighted SiMa.ai's strategic position as a key partner for customers navigating this paradigm shift.
SiMa.ai's MLSoC sets a new industry standard, offering exceptional performance and power efficiency for edge AI applications. The company's strategic use of a combination of silicon and software enables adaptability to various frameworks, networks, models, sensors, and modalities, positioning SiMa.ai to address diverse AI/ML needs through a single, software-centric platform.
The second-generation SiMa.ai MLSoC incorporates innovations from Arm, Synopsys, and TSMC, including an Arm Cortex-A CPU, Synopsys EV74 Embedded Vision Processors, and TSMC's N6 technology, further optimizing performance and power efficiency for customers. Industry leaders such as Arm, Synopsys, and TSMC have expressed support for SiMa.ai's innovative developments and collaborations in the edge AI space.
The successful funding round and advancements in SiMa.ai's MLSoC underscore its commitment to innovation and addressing the evolving landscape of edge AI and ML.
