With Sarus, personal data is never exposed to analysts, or data scientists for their research. They only access aggregates, machine learning models, or synthetic samples, which is all they need to carry out their projects successfully. This way, public organizations bring the highest privacy and security standards to all data processing.
Public institutions continuously invest to make public services more efficient and better serve their constituents. This effort often requires extensive data sources, which poses obvious privacy risks. With Sarus, these risks are mitigated, and citizens trust unimpaired.
The public sector often resorts to external contractors to develop IT systems, carry out consulting work, or improve efficiency. With Sarus, those projects no longer require access to data to fulfill their objectives.
Cities and public bodies have invested in modern data infrastructures and catalogs where personal data is stored. Many public functions require data to explore opportunities, test ideas, prototype services or even carry out training of new stakeholders. With Sarus, they do so without jeopardizing citizen data by using high fidelity Synthetic Data.
