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Mirage
Key Benefits
Privacy-preserving data sharing
Generate synthetic datasets that maintain the statistical properties of real data while protecting sensitive information. Supports formal privacy guarantees via Differential Privacy (DP-Copula).
Advance AI/ML Models
Address data scarcity and class imbalance by augmenting datasets with synthetic samples that preserve statistical relationships and distributions.
Software Testing and Development
Generate realistic mock data for rapid prototyping, edge-case simulation, and system migration testing without the risk of using production data.
Training and Education
Enhance learning experiences and skills development. Mock data allows learners to practice basic data analysis and database management without compromising sensitive information.
Data Preview or Exploratory Data Analysis
Facilitate early-stage data exploration by generating representative mock datasets. This allows data scientists and analysts to develop and test hypotheses, design visualisations, and plan analytical approaches before accessing actual data.
Singapore-localised data
Mock data fields tailored for Singapore context, including NRICs, local addresses, constituencies, MRT stations, schools, hospitals, and government agencies.
Privacy risk assessment
Evaluate synthetic data safety with attack-based metrics (singling-out, membership inference, linkability, attribute inference) and heuristic metrics before sharing.
Statistics
> 200
Datasets generated
> 104
Onboarded Agencies
> 1000
Onboarded Users
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