Organizations across healthcare, life sciences, telecom, finance and research increasingly rely on data to develop new products, services and insights. However, some of the most valuable datasets are also the most difficult to share due to privacy, security and regulatory requirements. As a result, large amounts of valuable data remain difficult to use, particularly when collaboration between organizations is required.
Amun AI's technology, Safe Colab, addresses this challenge by allowing AI models and data analysis to run where the data is stored. This means organizations can collaborate and extract value from sensitive datasets without having to reveal the underlying data. Data owners can also define how their data may be used, helping them maintain control and transparency throughout the process.
Amun AI is based in Stockholm and has its roots in leading AI research at KTH. The company focuses on enabling organizations in data-intensive and regulated industries to collaborate and use AI while keeping control of sensitive data.
The technology has already been deployed in production use cases, including research and telecom. Amun AI is now developing its commercial offering for organizations that need to make greater use of sensitive data while maintaining high standards of privacy, security and data governance. Currently the company is launching their platform on the market (see https://safe-colab.amun.ai/)
“Our ambition is to make sensitive data more accessible for AI and advanced analysis, while allowing organizations to maintain control over their data. With the support from KTH Ventures, we can accelerate the development and commercialization of our technology,” said Joanna Hård, CEO of Amun AI.
“We are very excited to support Amun AI in bringing this technology from KTH to the market. The ability to use sensitive data for AI and analysis without moving it could remove a major barrier to collaboration in research and industry. We see significant potential for Amun AI as the need for secure and responsible use of data continues to grow,” says Hannes Eder, Investment Manager at KTH Ventures.
About KTH Ventures AB
KTH Ventures invests in early-stage start-up companies based on research or education at KTH. KTH Ventures is part of the innovation ecosystem at KTH, supporting the commercialization of research, new ideas and intellectual property through company creation and investments. The aim is to make research, new ideas and knowledge from KTH generate a positive impact in society. For more information: www.kthventures.se
About Amun AI AB
Amun AI is a Stockholm-based KTH spin-off developing technology that enables organizations to use AI and collaborate on sensitive data while maintaining control over the underlying data. Its technology has applications across research, healthcare, life sciences and other industries where privacy and data governance are critical. For more information: https://amun.ai/
