Automating the Edge with Robotics secures $70 million in funding to develop second-generation MLSoC secures $70 million in funding to develop second-generation MLSoC, a company specializing in machine learning system-on-chip (MLSoC) platforms, has secured $70 million in funding. This investment round, led by Maverick Capital, includes participation from both existing and new investors, such as Point72, Jericho, Amplify Partners, Dell Technologies Capital, Lip-Bu Tan, and others.

According to, the second-generation MLSoC is not just an incremental update to its predecessor, but rather a significant technological advancement designed to handle multimodal generative AI. The platform will support all edge AI modalities, providing a more adaptive and intelligent edge device capable of handling even the most complex AI tasks.

“We have established undeniable technology leadership with our first generation MLSoC and with that momentum, also recognized the imminent need to equip our customers with one software-centric platform that supports all modalities from computer vision to GenAI,” says Krishna Rangasayee, founder and CEO at

Andrew Homan, a senior managing director at Maverick Capital, says that the computational requirements of generative AI have now moved from data center architecture to edge computing. Homan comments, “ possesses the essential trifecta of a best-in-class team, cutting-edge technology, and forward momentum, positioning it as a key partner for customers traversing this tectonic shift.” acknowledges the contributions of companies such as Arm, Synopsys, and TSMC in the development of our second-generation MLSoC. Arm’s Cortex-A CPU serves as the base processor for its heterogeneous computing platform, while Arm’s software partner network enables the company to reach customers with specialized use cases.

Synopsys contributes with their EV74 embedded vision processor, which provides pre- and post-processing capabilities for visual data on the chip. This is particularly important for edge devices like drones, autonomous vehicles, and surveillance cameras that rely on visual inputs. Additionally, Synopsys’ AI-powered EDA suite and ZeBu emulation system accelerate the design, verification, and software development of the MLSoC.

“Our close collaboration with across Synopsys’ full-stack AI-driven EDA suite, broad IP portfolio including the Synopsys ARC EV Vision Processor, and hardware-assisted verification solution has enabled to achieve first-pass silicon success and accelerate the development of their high-performance, power-efficient AI designs,” says Ravi Subramanian, general manager of the Systems Design Group at Synopsys.

Taiwan Semiconductor Manufacturing Company (TSMC) will manufacture the second-generation MLSoC utilizing its advanced N6 process technology. This technology offers enhancements in terms of both performance and power efficiency over the previous generation.

Furthermore, will be participating in the Embedded World 2024 event.

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