1. SiMa.ai raised a $70 million extension funding round to bring its second-generation chipset for multimodal generative AI processing to market.
2. The company targets the market segment between 5W and 25W of energy usage and has already been used by over 50 companies globally with its proprietary ML SoC and software combination.
3. SiMa.ai plans to introduce its second-generation ML SoC in the first quarter of 2025, which will offer multimodal AI capability and be based on TSMC’s 6nm process technology, competing primarily with Nvidia in the AI chip market.
SiMa.ai, a Silicon Valley-based startup, has raised a $70 million extension funding round to bring its second-generation chipset for multimodal generative AI processing to market. The company aims to capitalize on the growing market for AI-supporting chips, which is forecasted to reach $119.4 billion by 2027. SiMa.ai focuses on providing edge AI solutions to various industries, including manufacturing, retail, aerospace, defense, agriculture, and healthcare.
The startup’s first ML SoC has already been used by over 50 companies globally and delivered impressive results on the MLPerf benchmark. SiMa.ai is now preparing to launch its second-generation ML SoC in 2025, with a focus on multimodal GenAI capabilities. The new chipset will be compatible with various frameworks, networks, models, and sensors, catering to a wide range of AI applications.
SiMa.ai partners with Taiwan’s TSMC for manufacturing and Arm Holdings for its compute subsystem. The startup faces competition from established players like Nvidia, as well as AI chip startups like Hailo. SiMa.ai differentiates itself by offering higher performance, better power efficiency, and unique system software for GenAI applications.
With the latest funding round, SiMa.ai aims to expand its team, particularly in its R&D center in Bengaluru, India. The company plans to further develop its technology and grow its customer-facing teams globally. SiMa.ai’s strategic focus on edge AI positions it as a key player in the evolving landscape of AI hardware solutions.