Eliminate the risk of exposing real data in non-production environments. Without blocking your releases. Without modifying your architecture.
Automate anonymization and get realistic, consistent, and auditable datasets. Compliant with GDPR, DORA and NIS2.
No cost. No commitment.

“Gigantics allows me to carry out software development processes without the risk of accessing confidential client information, thus maintaining information security.”
Carlos León
Lockton
“Gigantics combines technical reliability with a modern and accessible user experience. A tool for those who seek to protect their data without compromising operational agility.”
Jesús Sobrino
IMQ
Your DBAs stop managing data manually. Provisioning is fully automated.
No sensitive data reaches a non-production environment without protection. No exceptions.
Your anonymized datasets maintain referential coherence between tables and systems, regardless of the engine.
The engine scans your sources, identifies PII, and respects relationships and dependencies between tables to define the anonymization strategy.
Deterministic rules ensure a source value always maps to the same target value, preserving referential integrity across all systems.
Anonymized data is delivered directly to the target environment. Sensitive data never leaves your infrastructure.
API/CLI for CI/CD or ETL pipelines. Automated, secure, and traceable flows for auditing.
Automated delivery of protected data in continuous deployment pipelines.
Centralized privacy across On-Prem and Cloud, with identical rules regardless of the engine.
Realistic datasets and synthetic data that preserve statistical properties without exposing real PII.
Integrity comparisons with anonymized data to reduce risk in Cloud modernization.
No. Gigantics is local-first. The PII detection engine and AI rules run locally on your infrastructure; sensitive data never leaves your perimeter at any time.
Yes. In addition to predefined rules, you can run custom JavaScript functions for complex or tailored logic.
Sinks and Taps inherit the rules and dictionary model, guaranteeing identical anonymization and cross-referential integrity in hybrid environments, regardless of the engine.
Absolutely. You can schedule recurring operations or trigger them via API/CLI so your non-production environments always have useful and protected data.
The audit module generates immutable PDF reports with PII discovery and applied rules, ready for security and compliance reviews.
The price adapts based on the volume of connectors and environments. Request your technical demonstration and we'll provide a proposal tailored to your case.
In 30 minutes we review your architecture and check if Gigantics fits your real environment.
See technical demo