Building sovereign health AI infrastructure. Born in Berlin. Built for Europe.
Founded in Berlin. Loretta builds the compliance infrastructure that makes health AI deployable in Germany. German health organisations hold data on 73 million lives but lack the infrastructure to act on it compliantly. Loretta is that infrastructure.
Daniel Townsend PhD is the CEO and Founder of Loretta Health. He leads the company's effort to create Prevention Intelligence as a Service (PIaaS) sovereign federated learning infrastructure for European chronic disease prevention. Before Loretta, Daniel worked at the intersection of health technology, global health policy, and data science. He is a graduate of University of Toronto and Imperial College London.
Kya holds a Juris Doctor from The George Washington University and spent nearly a decade in finance at Goldman Sachs and Citigroup, leading cross-functional compliance and operational initiatives. At Loretta, she aligns people, process, and product to scale institutional partnerships responsibly.
Michael has held senior leadership roles at Louis Vuitton, IWC Schaffhausen, and Meissen, and supported startups at the Berlin Chamber of Commerce (IHK). At Loretta, he connects the company with institutional partners across the German health sector.
Zhasheken studied data management, AI algorithms, and software development at the University of Alberta. At Loretta, she builds the software that shapes the platform's core functionality and user experience.
Michael holds degrees in Psychology and Economics from the University of Alberta, with experience in demographic research and actuarial modelling. At Loretta, he applies this analytical background to healthcare data challenges.
Piper is a Life Sciences (Honours) student at Queen's University whose research spans biomedical data analysis and AI-enabled disease modelling. At Loretta, she supports evidence-based chronic disease prevention research.
Sebastian's career sits at the intersection of technical leadership and cybersecurity. As a Technical Product Manager, he directed complex Multimodal AI R&D projects, secured major EU funding, and led over 20 AI researchers and engineers. At Loretta, he leverages this experience to safeguard the platform's highly available architecture and ensure stringent compliance.
Grounded in embedded software engineering, Larisa has developed deep expertise in cybersecurity, governance, risk management, and AI security. At Loretta, she focuses on strengthening the company's security and compliance landscape through secure architecture, regulatory alignment, and responsible AI practices.
Guy Michel Kaptue Tabeu applies mathematical rigor to modern machine learning and LLM‑powered analytics, designing data‑driven systems such as customer‑segmentation engines, neural‑residual regressors, and interpretable AI platforms. At Loretta, he works on strengthening the clinical intelligence behind the Health Score by redesigning its normalization, improving feature‑weight explainability, and developing biomarker‑driven predictive models that make risk insights clearer, more intuitive, and more actionable for users and employers.
Eric is a Backend Engineer with a B.Sc. in Bioinformatics and hands-on experience in the pharmaceutical sector. He builds reliable, data-driven systems with a focus on AI-powered backends and Python. With a scientific background and industry experience, he brings a strong foundation for turning complex data into clean, scalable solutions.
Loretta was founded on the conviction that health AI must be equitable by design. Our equity correction engine was validated on historically underserved populations first — proving it works for everyone. Mathematical fairness is not an add-on. It is built into every API endpoint.