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Cerence AI and SiMa.ai Partner to Revolutionize Conversational AI at the Edge
ByAinvest
Thursday, Sep 4, 2025 8:07 am ET1min read
Cerence AI and SiMa.ai partner to bring advanced, low-power conversational AI to vehicles through CaLLM Edge on SiMa’s Modalix MLSoC. The solution debuts at IAA Mobility 2025, enabling OEMs to deliver an improved user experience with real-time, multi-modal interaction. This partnership allows for efficient on-device AI, reduced complexity, and adaptive in-car assistants across various vehicle platforms.
Cerence AI and SiMa.ai have joined forces to bring advanced, low-power conversational AI to vehicles through their innovative solution, CaLLM Edge on SiMa’s Modalix MLSoC. The partnership aims to enhance the user experience by enabling real-time, multi-modal interactions in vehicles, debuting at the upcoming IAA Mobility 2025.The collaboration focuses on delivering efficient on-device AI, reducing complexity, and providing adaptive in-car assistants across various vehicle platforms. This technological advancement is set to transform the automotive industry by offering more intuitive and responsive user experiences.
The automotive test equipment market is projected to reach USD 4.79 billion by 2032, growing at a CAGR of 3.9% [1]. The increasing demand for specialized test systems for hybrid and EV platforms, stringent regulatory standards, and advanced automotive testing technologies are key drivers for this growth. The market is also influenced by factors such as capital-intensive infrastructure, in-house capability preference, and the shift towards advanced testing technologies.
This partnership between Cerence AI and SiMa.ai aligns with the broader trend of integrating AI into automotive systems. The automotive test equipment market, driven by regulatory requirements and technological advancements, is poised to continue its upward trajectory.
References:
[1] https://www.prnewswire.com/news-releases/automotive-test-equipment-market-worth-4-79-billion-by-2032--marketsandmarkets-302546340.html
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