Fortune 500 production results. Review these before our first call.
The difference is not incremental. It is architectural.
| Metric | AI Direct on Source Systems | Walacor × Fractal Twin |
|---|---|---|
| Source data corruption risk | Present — direct write access to production records | Zero — AI never reaches source systems |
| Twin tamper detectability | N/A — no twin exists | 100% — Walacor immutability guarantees every record |
| AI poisoning exposure | High — model can overwrite or corrupt production records | Eliminated — twin records are sealed and immutable |
| Ransomware vulnerability | High — production data can be encrypted or destroyed | Contained to twin; Walacor seals prevent silent alteration |
| Audit trail completeness | Partial — depends on logging configuration and coverage | 100% — every twin operation recorded by Walacor |
| Deployment timeline | 24 months average | 90 days to parallel deployment |
| Infrastructure cost | Data center: millions in hardware and licensing | 10 small computers: $10,000 total |
| Team required | 18 high-end consultants and engineers | 1 programmer |
| Bill cycle runtime | 90+ hours for large billing runs | 9 minutes for 10 million customers |
| Software licensing | Database, virtualization, and other — ongoing per-seat costs | Eliminated — no licensing fees |
| New feature delivery | 1–6 months of integration and testing | Daily — promote from twin to production in hours |
Production deployment data from Fortune 500 environments.
Performance measured across Fortune 500 production deployments in utilities, telecom, and financial services. Walacor audit metrics from Walacor Corporation production deployments. Infrastructure cost comparison based on equivalent workload capacity.
Book a 20-minute discovery call. We'll show you exactly what the Walacor × Fractal stack would deliver for your specific data environment — corruption risk posture, audit completeness, cost, and performance.