Boston-based startup Liquid AI has raised $37.6 million in seed funding to lead the development of innovative neural networks, drawing on the expertise of MIT CSAIL researchers to advance the frontier of artificial intelligence.
Liquid AI Inc., spearheaded by MIT Computer Science and Artificial Intelligence Laboratory Director Daniela Rus, saw this infusion of capital, led by OSS Capital and PagsGroup, with notable participation from Samsung Electronics Co. Ltd.’s Next fund, Automattic Inc., and Red Hat co-founder Bob Young, positions Liquid AI at a valuation of $303 million.
Liquid AI, a spin-off with a presence in Boston, MA, and Palo Alto, CA, is on a mission to revolutionize artificial intelligence with its liquid neural network design. This innovative approach enables AI models to adapt and perform tasks more reliably while consuming significantly less power compared to traditional models.
The key differentiator lies in the ability of liquid neural networks to modify their architecture, enhancing adaptability in diverse scenarios.
Efficiency and Adaptability Redefined
Unlike conventional AI models constrained by fixed parameters, liquid neural networks can adjust their equations and interactions seamlessly. This intrinsic adaptability reduces the risk of processing errors and empowers AI systems to navigate new situations quickly. Liquid neural networks require fewer neurons and parameters, resulting in a more efficient infrastructure, further underscoring their technological edge.
The simplicity of liquid AI models, featuring relatively few neurons, offers a unique advantage. Researchers can easily comprehend the interaction between these neurons, facilitating a clearer understanding of AI decision-making processes. This transparency enhances accountability and allows for better scrutiny of AI-driven decisions.
Strategic Use of Funding
The startup plans to use newly acquired funds to build commercial foundation models strategically. Additionally, the company aims to launch a user-friendly platform, empowering customers to develop their liquid neural networks. With expansion in mind, Liquid AI will hire eight additional staff members to support its go-to-market efforts in the coming months.
The seed funding round saw a robust show of support from a diverse group of investors, including OSS Capital, PagsGroup, Breyer Capital, Samsung Next, and notable individuals such as Github Co-founder Tom Preston Werner and AngelList Co-founder Naval Ravikant. This collective confidence underscores the potential and significance of Liquid AI’s innovative strides in the AI landscape.
A Green Commitment to AI Foundation Models
Founded by MIT CSAIL researchers Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, Liquid AI is committed to environmental responsibility. The company aims to significantly reduce the carbon footprint associated with foundational AI models, marking a crucial step towards sustainable and ethical AI development.
Liquid AI, emerging from stealth mode, has a strong presence in Boston, MA and extends its influence to Palo Alto, CA. The infusion of funds will propel the company’s ongoing development efforts and operational expansion.
Liquid AI’s successful seed funding round has positioned it at the forefront of AI innovation. Liquid neural networks promise a more adaptable, efficient, and transparent future for artificial intelligence. As the company gears up for expansion, its commitment to environmental responsibility adds a layer of significance to its endeavors, making it a key player to watch in the evolving landscape of AI technology.
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