MAYA Data Privacy offers a unified, zero‑storage platform that anonymizes personal data directly within source systems—including databases, files, APIs, and AI pipelines—so enterprises can use the data for AI, testing, and analytics without extracting or storing it. Its AI‑driven PII discovery and patented cross‑system consistency preserve referential integrity while ensuring compliance with GDPR, EU AI Act, HIPAA and other regulations. The solution runs as a containerized engine on‑premise, in the cloud, or in hybrid environments, delivering faster implementation and significant cost savings.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises must protect personal data when using it for AI, analytics, testing, and development, but traditional anonymization tools are limited to single data types, require data extraction, and often store sensitive information, creating compliance risks under GDPR, EU AI Act, NIS2, HIPAA and other regulations.
Solution
MAYA Data Privacy provides a unified platform that anonymizes personal data directly within source systems—including databases (SAP, Oracle, PostgreSQL, SQL Server, etc.), files (CSV, Excel, PDF, Word, images), APIs, and AI/LLM pipelines—without extracting or storing the data. AI‑driven PII discovery and patented cross‑system consistency ensure the same individual receives the same anonymized identifier across all environments while preserving referential integrity and business logic. The solution runs as a containerized, zero‑storage engine on‑premise, in the cloud, or in hybrid setups, meeting ISO 27001, SOC 2, and regional regulatory requirements. By delivering fully operational anonymized copies of production data, organizations can train models, test applications, and run analytics without triggering data‑protection obligations.
Target Audience
Primary customers are large enterprises in regulated sectors such as finance, healthcare, and government that need to anonymize data across complex, multi‑system environments for AI, testing, and analytics.
Features
- In‑system anonymization for databases, files, APIs, and AI interactions, eliminating data extraction and external storage
- AI‑powered PII discovery and classification across SAP, Oracle, PostgreSQL, SQL Server, and common file formats
- Cross‑system consistency that preserves referential integrity, providing the same pseudonym for a person across all connected sources
- Zero‑storage architecture deployed as containerized workloads on‑premise, cloud, or hybrid environments, including air‑gapped networks
- Compliance‑ready outputs (AppSafe, AISafe) that meet GDPR, EU AI Act, NIS2, HIPAA, DORA, PIPEDA, DPDPA, and CCPA requirements
- Rapid implementation—up to 80 % faster than legacy tools—and 70 % cost reduction versus traditional anonymization pipelines
- Integration with SAP Store, AWS Marketplace, and Azure Marketplace, plus native connectors for enterprise data landscapes