SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company announced immediate availability of the Modalix 50 TOPs device, and a new Early Access Program for MLSoC™...
Early Access Program Open to Developers now
SAN JOSE, Calif.: SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company announced immediate availability of the Modalix 50 TOPs device, and a new Early Access Program for MLSoC™ Modalix. Modalix is the industry’s first purpose-built platform that seamlessly integrates multi-modal applications using Transformers, LLMs, LMMs and GenAI at the edge along with traditional computer vision algorithms while delivering power efficiency and cost-effectiveness. Modalix extends the SiMa.ai lead by delivering industry leading performance per watt that is consistently more than 10X compared to alternatives.
The MLSoC™ and its innovative architecture is globally recognized by customers for its real-time human-machine interactions while processing multiple sensor inputs simultaneously, making it ideal for applications requiring complex decision-making and natural interaction in the physical world. Modalix builds upon our successful first generation MLSoC™ and enables 100s of new physical AI and GenAI use cases on-device at less than 10 Watts. Modalix brings disruptive GenAI and conversational AI capabilities to a wide range of customer applications from humanoid robots, next generation LMM based infotainment systems in cars, smart factories, advanced automated mobile robots, smart retail and vision systems, medical, space, aerospace and defense, agriculture, construction, and industrial drones.
The SiMa.ai ONE Platform for Edge AI makes it easy to get started with Modalix. The ONE Platform is a comprehensive development framework that includes SiMa.ai best-in-class Palette software suite allowing customers to effortlessly build and deploy AI solutions at the edge. The ONE Platform empowers organizations to harness advanced multi-modal and GenAI models of today and prepare for tomorrow through a seamless upgrade experience that redefines Total Cost of Ownership (TCO) for customers.
“Since announcing MLSoC Modalix last fall, customer interest has exceeded our expectations,” said Krishna Rangasayee, Founder and CEO at SiMa.ai. “With the sampling of Modalix, we're now ready to put this breakthrough technology directly into customers' hands, enabling them to experience firsthand how Modalix can transform their multi-modal and GenAI applications with unmatched industry leading performance and efficiency. I am proud of the SiMa.ai team and their dedication and focus in delivering our second generation product into customer hands in record time.”
Customers can request samples of Modalix 50 TOPs now. To help customers accelerate development, SiMa.ai is also launching the Modalix Early Access Program. Participants will receive the MLSoC Modalix Developer Board, Palette software suite, and support to bring their use cases to market more quickly. Customers wishing to participate in the Modalix Early Access Program can request an invitation here.
About SiMa.ai
SiMa.ai is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai delivers ONE Platform for Edge AI that flexibly adjusts to any framework, network, model, sensor, or modality. Edge ML applications that run completely on the SiMa.ai MLSoC and Modalix product family see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI, in minutes. With SiMa.ai, customers unlock new paths to revenue and significant cost savings to innovate at the edge across industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare. SiMa.ai was founded in 2018, has raised $270M and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance and more.
© Copyright 2025 SiMa Technologies, Inc. SiMa.ai logo and other designated brands included herein are trademarks in the United States and other countries.
Fonte: Business Wire
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