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GoMask.ai

GoMask.ai

Instant compliant test data for engineering teams

Website gomask.ai
Overview

What it is

Test data bottlenecks kill velocity. Teams wait days for data refreshes or secretly use production. GoMask delivers instant, compliant test data through schema-aware masking and AI synthesis. Minutes, not days. Compliance built-in, not bolted on.

Intent

I need it when

Generate synthetic data for edge cases and load testing scenarios that don't exist in production

GoMask's AI-powered synthesis preserves statistical distributions, maintains complex foreign key relationships, and supports configurable outliers and edge case generation. Teams can scale data volume up to 100x and simulate scenarios like holiday traffic without exposing real customer data.

Maintain audit trails and compliance documentation for regulatory requirements

GoMask logs every masking, transformation, access, and policy application with exportable compliance reports in JSON, CSV, or PDF. This provides complete traceability for GDPR, HIPAA, and SOX audits without manual spreadsheet compilation.

Eliminate PII exposure risk when provisioning test data from production databases

GoMask detects sensitive data automatically, applies format-preserving encryption and masking rules, and maintains referential integrity across tables. This allows teams to safely hydrate staging environments with production-like data while meeting GDPR, HIPAA, and PCI-DSS compliance requirements without manual anonymization.

Reduce time spent sourcing and preparing realistic test datasets for development and QA

GoMask provides 2,000+ ready-made synthetic datasets across 19 industries, AI-powered custom generation via natural language prompts, and instant export to CSV/JSON/SQL. Teams can generate realistic test data in minutes instead of hours, eliminating bottlenecks from manual scripting or stale open datasets.

Automate test data provisioning as part of CI/CD pipelines without manual intervention

GoMask as Code enables Git-native YAML configuration of masking and generation rules, integrates natively with GitHub Actions, GitLab CI, and Jenkins, and provides API-first automation. This allows test data to be version-controlled, reviewed in PRs, and deployed automatically alongside schema changes.

Drop

Not a fit when

  • Organization requires on-premise deployment without cloud option (GoMask is cloud-native SaaS, though on-premise ready is mentioned)
  • Team needs real production data for testing without any masking or synthetic generation (GoMask's core purpose is to replace production data)
  • Database is not PostgreSQL, MySQL, SQL Server, Oracle, or MongoDB (limited native connector support)
  • Organization cannot use Git-based workflows or CI/CD integration (GoMask as Code requires version control)
  • Use case requires anonymization of existing datasets without schema preservation (GoMask focuses on format-preserving encryption and referential integrity)
Commercials

Pricing

Usage-based credits. Free tier: 1,000 credits/month (12,000/year). Paid plans range from Starter to Enterprise. No per-seat fees.