SinteticaEU — Privacy-Compliant Synthetic Data Generation for EU Regulated SMBs
European SMBs in regulated industries (healthcare, finance, insurance, telecom) face a brutal Catch-22: they need data to build AI/ML models, test software, and run analytics, but GDPR makes using real customer data risky, slow (consent management), and expensive (DPO reviews, DPIAs). Large enterpri
The Problem
European SMBs in regulated industries (healthcare, finance, insurance, telecom) face a brutal Catch-22: they need data to build AI/ML models, test software, and run analytics, but GDPR makes using real customer data risky, slow (consent management), and expensive (DPO reviews, DPIAs). Large enterprises buy solutions from Mostly AI, Syntho, or Hazy at enterprise prices (€50K+/year). SMBs are left with three bad options: (1) use real data and hope regulators don't notice, (2) manually anonymize data (error-prone, time-consuming), or (3) simply don't build AI capabilities.
Synthetic data — statistically representative but entirely artificial data — solves this. It maintains the patterns and distributions of real data without containing any actual personal information. The technology exists, but it's locked behind enterprise contracts and complex ML pipelines that SMBs can't access.
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