Facts and Figures
We’re good with numbers
15
15+ Years of Experience in Privacy Research
3
IP in Differential Privacy
7+
Recognitions and Grants from European and Swedish Innovation Programs
5
Open Source Repositories
A Sustainable Digital Future Where Innovation and Privacy Go Hand in Hand.
We believe Differential Privacy is emerging as the gold standard for generating anonymized statistics, offering one of the strongest, scientifically proven foundations for privacy-preserving data analysis.
About Us
Privacy in Action
Anonymized data anlyses in practise
Publishing Education Statistics - Public Sector
A national statistics office releases yearly reports on student performance across regions, ensuring that individual scores and identifiable patterns about specific schools remain confidential.
Chronic Disease Research - Health Data
A public health agency plans to study long-term trends in chronic diseases using hospital records. DPella Analytics would allow them to generate anonymized statistics without risking patient re-identification.
Archiving Financial Records - Data Retention
A financial services provider needs to remove historical transaction data after a retention deadline. DPella Analytics would make it possible to retain aggregated business insights without storing any personal records.
Social Program Evaluation - Public Sector
A city government wants to evaluate the impact of housing assistance programs. DPella Analytics would enable them to publish meaningful insights without revealing any personal information about the program’s beneficiaries.
User Behavior Analytics in Mobile Apps - Data Retention
A digital health platform wants to understand user engagement over time but is required to delete personal data after a defined period. DPella Analytics would allow them to extract anonymized usage patterns before deletion, preserving insight while staying compliant.
Vaccination Policy Design - Health data
Health authorities need to analyze vaccine uptake across demographics to inform public health strategies. DPella Analytics would ensure that individual health data remains protected while supporting data-driven decisions in line with EHDS requirements.
Data Privacy for
Secondary Use of Data
Anonymized Statistics with Differential Privacy Technology
01
Public Sector
DPella enables public sector organizations to publish meaningful statistics while protecting the privacy of individuals. DPella ensures that no personal information can be inferred from the data, even when handling sensitive topics such as health, education, or social services. This empowers governments to make data-driven decisions and share information transparently, without compromising citizen confidentiality.
02
Health Data
DPella enables the safe secondary use of health data by generating anonymized statistics aligned with the requirements of the European Health Data Space (EHDS). Our Differential Privacy technology allows healthcare data to be repurposed for research, public health initiatives, and policy-making, unlocking its full value without compromising patient confidentiality. DPella’s approach also supports compliance with key privacy regulations such as HIPAA, GDPR, and CCPA.
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Data Retention
DPella helps organizations extend the lifecycle of their data by extracting anonymized statistics before deletion, as required by privacy regulations. With Differential Privacy, valuable insights can be preserved even after the original data is erased—ensuring compliance while maximizing long-term data value.
Use Cases
Real-World Applications of Anonymized Statistics