Welcome to DeepTensor AB! Our company specializes in secure and privacy-enhancing technology for AI/ML applications.
We aim to build novel technologies for secure and privacy-compliant solutions powered by Machine Learning and Artificial Intelligence.
For more information, please contact us!
Sonny is an Assis. Prof. at LTH, an active researcher and solution architect in privacy-preserving ML. His work focuses on privacy preserving ML and data analytics to power downstream applications. He co-authored multiple models/systems such as Aurora-M, INFRA, WINFRA, dpText, MG-PriFair.
Johanna is an associate professor in computer science department, Umea University with a focus on semantic analysis of multimodal data, in other words, automatic methods for translating complex media objects, such as a video with audio tracks and subtitles, into a graph-based format suitable for further algorithmic processing.
Rickard has been a passionate entrepreneur for most of his career, having co-founded and grown several successful companies. His latest venture, Codemill, is a public company that has achieved remarkable success. With a keen eye for understanding of the technology, Rickard is well-positioned to lead the charge in AI.
Dr. Alain Bui is a renowned AI expert in computer vision, document processing, and ML systems with extensive experience in developing and deploying AI solutions in various industries. As the AI lead at a successful startup in Paris, he has played a crucial role in shaping the company’s AI strategy and driving innovation.
Tony Bui is an accomplished AI Engineer Lead with extensive experience in computer vision, video processing, and machine learning systems. He has been a key figure in delivering numerous successful AI solutions to customers, showcasing his expertise in designing and developing scalable and efficient AI systems.
Receiving a master degree from Daegu University, South Korea with prior expertises in finance and management. Additionally, she has strong background in administrative support to help with managing day-to-day operations, and maintaining effective communication channels between different stakeholders.
Development of secure reinforcement learning algorithms for real-world applications.
Innovative approaches to graph-based machine learning with privacy guarantees.
Building ML systems that respect user privacy by design.
Developing methods to train and deploy LLMs while protecting sensitive information.
Building AI systems that are transparent, explainable, and accountable.
Exploring secure multi-party computation for privacy-preserving credit scoring.
HQ: Nygatan 18, 903 27 Umeå, Sweden
+46 765 626 979
Partner with DeepTensor to solve your AI and data privacy challenges, or join our team to help build the future of secure and private AI.
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