Moss Intelligence Raises $149 Million Pre-A in Push for Real-Time Multimodal AI
Most AI models operate as chatbots where you type and wait for your answers to be generated. A Shanghai startup thinks that era is ending. And investors just put serious The post Moss Intelligence Raises $149 Million Pre-A in Push for Real-Time Multimodal AI appeared first on Ventureburn .
Moss Intelligence, a Shanghai-based startup, has successfully raised $149 million in a Pre-A round led by Huakong Fund. This significant investment highlights the company's innovative approach to real-time multimodal AI. Unlike traditional AI models, Moss Intelligence is developing systems that can process and understand data from multiple sensory inputs simultaneously.
The startup's leadership, founded by Professor Qiu Xipeng, has already produced several successful AI models, including MOSS, China's first open-source ChatGPT-style model. The funding will primarily be used for two key initiatives: MOSS Live, a cutting-edge interactive system designed for smart vehicles and wearable technology, and the implementation of a generative algorithm to create synthetic training data.
This strategic move positions Moss Intelligence at the forefront of sensory AI and omnimodal intelligence, an area currently attracting significant investment from major players.
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