Multiverse Computing's CompactifAI Drives Smart Home Efficiency Revolution with Edge AI and TinyML
Published on 5.14.25
The integration of artificial intelligence (AI) in smart home devices is transforming the way consumers live and interact with their homes. The market's growth is driven by increasing demand for energy-efficient solutions, as well as decreasing costs of AI components, making these technologies more accessible to mainstream consumers.
Multiverse Computing's CompactifAI has been recognized as a game-changer in AI processing, offering cost- and energy-efficient solutions specifically designed for smart home applications. According to Enrique Lizaso Olmos, founder and CEO of Multiverse Computing, this technology is revolutionizing the way homes process AI, providing efficient and sustainable solutions.
The market is expected to reach $13.08 billion by 2035, growing at a CAGR of 29.8% from an estimated $0.96 billion in 2025. Edge AI and TinyML technologies are gaining popularity in smart home devices, enabling on-device intelligence with reduced cloud dependency. This shift towards edge computing is driven by consumer concerns about data privacy and environmental priorities.
Federated Learning, which allows for decentralized model training without relying on a central server, is also becoming increasingly popular as consumers prioritize sustainability-centric features in their smart appliances.