Our mission is to build state-of-the-art, general-purpose AI systems that are capable, efficient, highly aligned, and trustworthy.

AI/ML

Software Engineering

Technology

Liquid AI

Liquid AI's headquarters in Cambridge, United States

This department focuses on advancing machine learning methodologies through research and innovative applications.

Machine Learning Research

This department focuses on developing and maintaining technical solutions and infrastructure to support organizational objectives.

Technical Operations

This department focuses on developing and implementing machine learning models and technologies.

Machine Learning

The Machine Learning and AI Team at Liquid AI focuses on developing and refining innovative AI models and algorithms that align with the company’s mission of creating advanced, trustworthy AI systems. This multidisciplinary group leverages their expertise in machine learning and strategic insights to enhance AI capabilities, ensuring they are efficient, aligned with user needs, and built with ethical considerations in mind. Through collaborative research and hands-on engineering, the team drives the creation of general-purpose AI that can be deployed across various applications.

Machine Learning and AI Team

The Leadership Team at Liquid AI is responsible for setting the strategic direction and vision of the company, ensuring alignment across all departments while driving innovation in AI technology. They oversee financial planning, business development initiatives, and operational efficiency to foster growth and maintain the integrity of the AI systems developed. This team collaborates to establish trust and alignment with stakeholders, guiding the organization toward its mission of building advanced, reliable AI solutions.

Leadership Team

This department focuses on developing and maintaining strategic partnerships and collaborations within the organization.

People (3)

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Other teams

Technical Operations

Machine Learning

Machine Learning and AI Team

Leadership Team

Partnership Management