Brand-Safe
Synthetic Data
Privacy-preserving data generation for your local vector stores. PII never leaves your perimeter. Train copilots on realistic data without compliance risk.
Data Foundry
Capabilities
Privacy-preserving synthetic data that maintains statistical properties. Part of your sovereign AI infrastructure.
Creative & Copy Corpora
Synthesize brand-safe versions of briefs, style guides, ad variants, content calendars, and QA annotations.
Campaign & Analytics Realism
Generate multi-table, time-series datasets that look like real Meta/Google/TikTok campaigns without PII.
Privacy by Design
Differential privacy, template-level redaction, k-anonymity, and channel-specific masking.
Generation
Process
Seed
Start with templates or redacted samples, define schemas
Generate
Produce statistically realistic multi-table datasets
Balance
Add edge cases, seasonality, and anomalies
Validate
Apply privacy tests, redline sensitive fields
Deliver
Ship to training or QA sandboxes with metadata
What We Synthesize
- Ad campaign logs (Meta, Google, TikTok)
- Web analytics events (GA-style)
- CRM pipelines (MQL → SQL → Opportunity)
- Content assets and editorial calendars
- QA checklists and annotations
- Client reporting artifacts
Workflows Unlocked
- Train brand-specific creative copilots
- Validate reporting stacks end-to-end
- Build media QA bots for pacing and budget
- Rapid pitch personalization
- Design productized service SKUs
Compliance & Client Safety
- PII never required—operate on redacted schemas or synthetic seeds
- DP, k-anonymity, and channel-aware masking per client contract
- Clear review artifacts for brand, legal, and security sign-off
Representative Use Cases
Simulate store-level lift and local campaign mix
Model SKU-level cohorts, LTV, and attribution scenarios
Synthesize trial → paid funnels with product telemetry
Ready for
Synthetic Data?
Generate synthetic datasets that stay within your perimeter. Feed your RAG pipelines and knowledge bases without GDPR/HIPAA concerns.
Request Sample Set