Using robust prediction algorithms and AI design recommendations, Cradle assists biologists in rapidly designing better proteins. Cradle gives you complete ownership of the intellectual property while maintaining the privacy and security of your sequences and data.

Biotechnology

Cradle

Cradle's headquarters in Zürich, Switzerland

This department is responsible for designing, developing, and maintaining software applications and systems.

Software Development

The Engineering and Data Science team at Cradle focuses on developing advanced algorithms and machine learning models to enhance protein design processes. This collaborative group of software and machine learning engineers, alongside scientists, works to ensure seamless integration of AI technology with biological research, empowering biologists to create innovative protein designs while safeguarding their intellectual property and data.

Engineering and Data Science

The Leadership Team at Cradle drives the strategic vision and operational execution of the company, ensuring alignment between product development, partnerships, and market growth. With expertise in technology, biology, and business, team members collaborate to leverage AI-driven solutions, foster innovation, and maintain a strong focus on customer satisfaction and intellectual property protection. Their leadership is essential in navigating the evolving landscape of biotechnology and artificial intelligence.

Leadership Team

This department specializes in providing expert scientific consulting and advisory services to clients.

Scientific Solutions

This department focuses on developing and implementing machine learning models and algorithms to enhance product functionality and data analysis.

Machine Learning

The Research and Development team at Cradle focuses on advancing predictive algorithms and AI-driven design tools tailored for protein engineering. They conduct experiments and user research to refine and enhance the usability of Cradle's platform, ensuring that biologists can leverage cutting-edge technology effectively while retaining ownership of their intellectual property. This team plays a critical role in driving innovation and ensuring product relevance in the rapidly evolving field of biotechnology.

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Other teams

Engineering and Data Science

Leadership Team

Scientific Solutions

Machine Learning

Research and Development