Business Compass Data Anonymization & Synthetic Data Services

Business Compass LLC helps healthcare, financial services, media, and public-sector teams train AI models on regulated data without exposing PHI, PII, or PAN. As an AWS Advanced Consulting Partner with 50+ AWS certifications (including ML Specialty, Gen AI Specialty, and Data Engineer), we build privacy-first pipelines that de-identify, tokenize, and synthesize data while preserving statistical utility.

Our methodology combines multiple privacy-preserving techniques into a single governed pipeline:

• HIPAA Safe Harbor and Expert Determination for clinical and health data
• PCI DSS tokenization to reduce compliance scope for payment data
• GDPR/CCPA pseudonymization for cross-border data sharing
• Differential privacy to provide mathematical guarantees against re-identification
• Re-identification risk testing with audit-ready evidence and policy-as-code guardrails

All pipelines run in your AWS account using native services:

• S3, Glue, Lake Formation, KMS for data storage, integration, and encryption
• Macie for sensitive data discovery
• SageMaker for model training on synthetic datasets
• Textract, Transcribe, Medical Transcribe for unstructured data extraction
• Comprehend, Comprehend Medical, HealthLake for entity recognition and clinical data

We hold AWS Service Delivery competencies in Lambda, API Gateway, AWS Transfer Family, Glue, QuickSight, Graviton, DynamoDB, and OpenSearch.

We deliver through a structured pilot engagement:

• Week 1 - Discovery and Scoping: Data inventory, schema review, risk classification, and pipeline architecture design.
• Week 2-3 - Pipeline Build and Synthesis: De-identification pipeline deployment, synthetic data generation, and utility validation.
• Week 4 - Testing and Handoff: Re-identification risk report, model-utility comparison, audit-ready documentation, and pipeline code repository handoff.

Buyers should have:

• An active AWS account with appropriate IAM permissions
• At least one regulated dataset (structured or unstructured) ready for pilot
• A designated data steward or technical point of contact
• Executive sponsorship for compliance sign-off

Out of scope: ongoing production managed services, non-AWS environments, and real-time streaming anonymization (available as a separate engagement).

Organizations working with Business Compass LLC achieve:

• Synthetic datasets that preserve statistical distributions for downstream ML training
• Reduced compliance audit scope by removing regulated data from development environments
• Audit-ready re-identification risk reports aligned to HIPAA, PCI DSS, and NIST 800 standards
• Governed, repeatable pipelines with policy-as-code guardrails

Book a 30-minute scoping call to define your pilot schema and review our methodology brief. We will assess your data landscape and provide a fixed-scope pilot proposal within 5 business days.