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Privacy Engineering & Synthetic Data

Privacy-preserving AI with differential privacy guarantees, synthetic data generation, and federated learning for secure, compliant enterprise applications.

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AI Governance & Regulatory Compliance

Antitrust AI Governance • Algorithmic Pricing • Data Sovereignty

The DOJ proved RealPage's algorithm was a digital 'smoke-filled room.' Landlords moved in unison while renters paid. 🏠

$2.8M

FPI Management settlement for algorithmic rent-fixing via shared software

DOJ/FPI Settlement (Sept 2025)

3.6x

higher total shareholder return for sovereign AI vs. wrapper-dependent peers

McKinsey / BCG AI Studies (2025)

Interactive Technical

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The Sovereign Algorithm

Shared pricing tools ingesting competitor data are now treated as digital cartels under the Sherman Act. Multi-tenant AI wrappers that commingle data create antitrust liability by design.

ALGORITHMIC COLLUSION BY DESIGN

RealPage's software ingested real-time rates and occupancy data from competing landlords, generating recommendations to 'move in unison.' The DOJ settlement prohibits non-public competitor data in models. California AB 325 and New York S. 7882 have criminalized the coordinating function itself.

SOVEREIGN AI ARCHITECTURE

Deploy private neuro-symbolic pipelines within VPC to eliminate data commingling risks
Integrate differential privacy with calibrated epsilon budgets for market trend learning
Enforce constitutional guardrails via BERT classifiers blocking policy violations deterministically
Generate GAN-based synthetic training data containing zero competitively sensitive information

Differential PrivacyNeuro-Symbolic AISynthetic Data (GANs)Constitutional GuardrailsPrivate LLM Deployment

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Veriprajna Deep Tech Consultancy specializes in building safety-critical AI systems for healthcare, finance, and regulatory domains. Our architectures are validated against established protocols with comprehensive compliance documentation.