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    #dataprivacy #federatedlearning #machinelearning

    Apheris

    from Berlin

    Apheris AI GmbH is an innovative deep-tech start-up from Berlin that develops federated data analytics and machine learning solutions. The company promotes privacy-compliant data analysis and supports research institutions in the secure use of distributed datasets.

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    Apheris AI GmbH: Security and Data Protection in Data-Driven Analytics

    About the Company

    Apheris AI GmbH, founded in 2019 in Berlin, is a deep-tech start-up specializing in the development of solutions for federated data analytics and Machine Learning (ML). The company aims to assist large enterprises and research institutions in gaining insights from distributed datasets while maintaining the privacy and security of the data.

    Key Products and Services

    Apheris offers a federated Computational Governance Solution that enables secure, regulated, and data protection-compliant computations on distributed datasets. The main components of the Apheris solution include:

    • Data Residency: Computations are performed directly at the location of the data without the need to move the data.
    • Computational Governance: Complete control and regulation of computations at the algorithmic level.
    • Scalability: Support for single or multiple workloads on any number of remote datasets.
    • ML Compatibility: Support for various ML frameworks such as PyTorch, TensorFlow, and Scikit-Learn[2][4].

    Main Mission and Values

    The mission of Apheris is to create a data protection-compliant data ecosystem infrastructure that enables the joint use of distributed and often sensitive data for research and innovation without compromising privacy and security. The company is committed to the values of security, data protection, and compliance to ensure that sensitive data never leaves the presence of the data owners while still being utilized for valuable insights and new solutions[3][4].

    Sustainability Goals and Initiatives

    Apheris focuses on promoting collaborative and secure data ecosystems, particularly in areas such as drug research and biomedical research. By utilizing federated learning and integrating technologies like NVIDIA Flare, Apheris enables companies and research institutions to evaluate their data securely and effectively without violating data protection regulations. This helps generate valuable insights and develop innovative solutions that can be used, for example, in combating diseases and developing new therapies[3][4].

    Current Initiatives

    Apheris is involved in the Artificial Intelligence Structural Biology (AISB) Consortium, a comprehensive collaboration between companies such as AbbVie, Boehringer Ingelheim, Johnson & Johnson, and Sanofi. This initiative aims to revolutionize AI-supported drug development by training and evaluating AI models on unique data from multiple biopharma companies without disclosing proprietary information[4].

    Through its innovative technology and focus on security, data protection, and compliance, Apheris makes a significant contribution to promoting research and innovation in data-intensive fields while adhering to the highest standards of data protection and security.

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