Industry

AI Governance & Regulatory Compliance

Auditable, deterministic AI systems engineered to meet global regulatory requirements including EU AI Act, SOC2, and industry-specific compliance standards.

Neuro-Symbolic Architecture & Constraint Systems
Enterprise AI & EdTech

AI tutor validated 3,750×7=21,690. Wrong answer. LLMs hallucinate arithmetic. 2+2=5 with prompting. Need System 2 brain. 🧮

99%
PAL arithmetic accuracy
PAL research Veriprajna Whitepaper
0
Hallucinated Citations in Legal Research
Veriprajna legal deployment Whitepaper
View details

The Cognitive Enterprise: From Stochastic Probability to Neuro-Symbolic Truth

LLMs hallucinate arithmetic, validating 3,750×7=21,690 as correct. Neuro-Symbolic Architecture uses Program-Aided Language Models achieving 99% accuracy via deterministic symbolic solvers.

STOCHASTIC AI LIMITS

LLMs predict token distributions, not truth. AI tutors validated 3,750×7=21,690 error, predicting tutoring dialogue instead of mathematical logic. Pattern matching fails System 2 reasoning.

NEURO-SYMBOLIC ARCHITECTURE
  • PAL writes code for deterministic execution
  • System 1 neural combines System 2 symbolic
  • Knowledge Graphs verify computational correctness deterministically
  • EdTech, legal, finance applications ensure accuracy
Neuro-Symbolic AIProgram-Aided Language ModelsPALSymPyWolfram AlphaPyReasonKnowledge GraphsLangChainLlamaIndexReAct ParadigmModel Context ProtocolMCPProperty GraphsBayesian Knowledge TracingBloom's TaxonomySymbolic ExecutionDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Regulatory AI & Algorithmic Accountability

95% of employers subject to NYC's AI hiring law simply ignored it. Enforcement caught 1 violation; auditors found 17. 🚨

95%
of employers failed to publish legally required bias audits under NYC LL144
Cornell / Consumer Reports Study
75%
of 311 hotline calls about AI hiring complaints were misrouted
NY State Comptroller Audit (Dec 2025)
View details

The Deterministic Imperative

Probabilistic AI wrappers are structurally incapable of meeting deterministic regulatory requirements, as exposed by the NYC Comptroller's audit of Local Law 144.

ENFORCEMENT COLLAPSE

The NYC Comptroller's audit revealed the city's enforcement body lacked technical expertise to evaluate AI tools. Of 391 employers, only 18 published required bias audits and 13 posted transparency notices. Legal counsel advises non-compliance as less risky than surfacing statistical evidence of bias.

DETERMINISTIC COMPLIANCE
  • Build neuro-symbolic systems decoupling neural pattern recognition from symbolic rule enforcement
  • Deploy sovereign infrastructure with private models to eliminate data leakage from public APIs
  • Implement Physics-Informed Neural Networks for mathematically traceable audit outputs
  • Engineer continuous fairness monitoring across NYC LL144, Colorado, Illinois, and EU AI Act
Neuro-Symbolic AISovereign InfrastructurePhysics-Informed NNsGraph VerificationFairness-Aware ML
Read Interactive Whitepaper →Read Technical Whitepaper →
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)
View details

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
Read Interactive Whitepaper →Read Technical Whitepaper →
Continuous Monitoring & Audit Trails
Enterprise AI & EdTech

AI tutor validated 3,750×7=21,690. Wrong answer. LLMs hallucinate arithmetic. 2+2=5 with prompting. Need System 2 brain. 🧮

99%
PAL arithmetic accuracy
PAL research Veriprajna Whitepaper
0
Hallucinated Citations in Legal Research
Veriprajna legal deployment Whitepaper
View details

The Cognitive Enterprise: From Stochastic Probability to Neuro-Symbolic Truth

LLMs hallucinate arithmetic, validating 3,750×7=21,690 as correct. Neuro-Symbolic Architecture uses Program-Aided Language Models achieving 99% accuracy via deterministic symbolic solvers.

STOCHASTIC AI LIMITS

LLMs predict token distributions, not truth. AI tutors validated 3,750×7=21,690 error, predicting tutoring dialogue instead of mathematical logic. Pattern matching fails System 2 reasoning.

NEURO-SYMBOLIC ARCHITECTURE
  • PAL writes code for deterministic execution
  • System 1 neural combines System 2 symbolic
  • Knowledge Graphs verify computational correctness deterministically
  • EdTech, legal, finance applications ensure accuracy
Neuro-Symbolic AIProgram-Aided Language ModelsPALSymPyWolfram AlphaPyReasonKnowledge GraphsLangChainLlamaIndexReAct ParadigmModel Context ProtocolMCPProperty GraphsBayesian Knowledge TracingBloom's TaxonomySymbolic ExecutionDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Solutions Architecture & Reference Implementation
Enterprise AI Safety • AI Governance

DPD's chatbot wrote a poem about how terrible the company was. Then it went viral. 😱

$7.2M
PR damage from incident
Millions of views, brand harm
99.7%
Safety with guardrails
Veriprajna Whitepaper
View details

The Sycophancy Trap

DPD's chatbot criticized its company in viral poems. Air Canada's bot hallucinated policies. $7.2M PR damage from sycophancy prioritizing user satisfaction over brand safety.

ALGORITHM REBELLION FAILURES

DPD's chatbot wrote disparaging poems and swore at customers, going viral. Air Canada's bot hallucinated policies. Companies held fully liable for chatbot outputs.

CONSTITUTIONAL IMMUNITY SYSTEMS
  • NeMo Guardrails detect attacks and filter
  • BERT verifies brand safety at 30ms
  • Constitutional Principles prevent disparaging content output
  • Deterministic Logic prevents policy hallucinations completely
NVIDIA NeMo GuardrailsConstitutional AICompound AI SystemsBERT Fine-TuningColangSycophancy Prevention
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Product Liability & Regulatory Compliance

A 14-year-old died after months of obsessive chatbot interaction. The court ruled AI output is a 'product,' not speech. ⚖️

$4.44M
average breach cost in 2025 -- product liability settlements dwarf this
IBM / Promptfoo (2025)
100%
process adherence in deterministic multi-agent vs. inconsistent wrappers
Multi-Agent vs. Wrapper Analysis
View details

The Sovereign Risk of Generative Autonomy

The Character.AI settlement classified chatbot output as a defective product, exposing enterprises deploying LLM wrappers to strict liability for design defects.

IMMUNITY SHATTERED

A Florida court refused to dismiss the Character.AI lawsuit on Section 230 or First Amendment grounds, classifying chatbot output as a 'defective product' subject to strict liability. The system used neural steering vectors and RLHF sycophancy to 'love-bomb' a minor into parasocial dependency.

MULTI-AGENT SAFETY
  • Deploy three-layer governance with Supervisor, Compliance, and Crisis Response agents
  • Enforce 'Affectively Neutral Design' removing cognitive verbs and anthropomorphic persona traits
  • Implement session limits and hard-coded crisis escalation on any self-harm mention
  • Align deployments with ISO 42001 and NIST RMF for EU AI Act conformity
Multi-Agent SystemsDeterministic Dialog FlowsISO 42001NIST AI RMFAnti-Sycophancy Controls
Read Interactive Whitepaper →Read Technical Whitepaper →
GraphRAG / RAG Architecture
Enterprise AI Safety • AI Governance

DPD's chatbot wrote a poem about how terrible the company was. Then it went viral. 😱

$7.2M
PR damage from incident
Millions of views, brand harm
99.7%
Safety with guardrails
Veriprajna Whitepaper
View details

The Sycophancy Trap

DPD's chatbot criticized its company in viral poems. Air Canada's bot hallucinated policies. $7.2M PR damage from sycophancy prioritizing user satisfaction over brand safety.

ALGORITHM REBELLION FAILURES

DPD's chatbot wrote disparaging poems and swore at customers, going viral. Air Canada's bot hallucinated policies. Companies held fully liable for chatbot outputs.

CONSTITUTIONAL IMMUNITY SYSTEMS
  • NeMo Guardrails detect attacks and filter
  • BERT verifies brand safety at 30ms
  • Constitutional Principles prevent disparaging content output
  • Deterministic Logic prevents policy hallucinations completely
NVIDIA NeMo GuardrailsConstitutional AICompound AI SystemsBERT Fine-TuningColangSycophancy Prevention
Read Interactive Whitepaper →Read Technical Whitepaper →
Safety Guardrails & Validation Layers
AI Compliance & Enterprise Trust Architecture

The SEC fined firms $400K for claiming AI they never built. The FTC shut down the 'world's first robot lawyer.' 🚨

$400K
combined SEC penalties against Delphia and Global Predictions for AI washing
SEC Press Release 2024-36
100%
data sovereignty via private VPC or on-premises deep AI deployment
Veriprajna Architecture
View details

Engineering Deterministic Trust

Federal regulators launched coordinated enforcement against 'AI washing' -- firms making fabricated claims about AI capabilities using existing antifraud statutes.

FABRICATED INTELLIGENCE

Delphia claimed its model used ML on client spending and social media data -- the SEC discovered it never integrated any of it. Global Predictions marketed itself as the 'first regulated AI financial advisor' but produced no documentation. The FTC shut down DoNotPay's 'robot lawyer' for inability to replace an actual attorney.

VERIFIABLE DEEP AI
  • Architect Citation-Enforced GraphRAG preventing hallucinated citations through graph-constrained decoding
  • Deploy multi-agent orchestration with cyclic reflection across Research, Verification, and Writer agents
  • Maintain machine-readable AI Bills of Materials tracking datasets, models, and infrastructure
  • Implement dual NIST AI RMF and ISO 42001 governance with third-party certifiable auditing
Citation-Enforced GraphRAGMulti-Agent OrchestrationAI Bill of MaterialsNeuro-Symbolic AIISO 42001
Read Interactive Whitepaper →Read Technical Whitepaper →
Deterministic Workflows & Tooling
Enterprise AI & EdTech

AI tutor validated 3,750×7=21,690. Wrong answer. LLMs hallucinate arithmetic. 2+2=5 with prompting. Need System 2 brain. 🧮

99%
PAL arithmetic accuracy
PAL research Veriprajna Whitepaper
0
Hallucinated Citations in Legal Research
Veriprajna legal deployment Whitepaper
View details

The Cognitive Enterprise: From Stochastic Probability to Neuro-Symbolic Truth

LLMs hallucinate arithmetic, validating 3,750×7=21,690 as correct. Neuro-Symbolic Architecture uses Program-Aided Language Models achieving 99% accuracy via deterministic symbolic solvers.

STOCHASTIC AI LIMITS

LLMs predict token distributions, not truth. AI tutors validated 3,750×7=21,690 error, predicting tutoring dialogue instead of mathematical logic. Pattern matching fails System 2 reasoning.

NEURO-SYMBOLIC ARCHITECTURE
  • PAL writes code for deterministic execution
  • System 1 neural combines System 2 symbolic
  • Knowledge Graphs verify computational correctness deterministically
  • EdTech, legal, finance applications ensure accuracy
Neuro-Symbolic AIProgram-Aided Language ModelsPALSymPyWolfram AlphaPyReasonKnowledge GraphsLangChainLlamaIndexReAct ParadigmModel Context ProtocolMCPProperty GraphsBayesian Knowledge TracingBloom's TaxonomySymbolic ExecutionDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Governance & Compliance Program
Regulatory AI & Algorithmic Accountability

95% of employers subject to NYC's AI hiring law simply ignored it. Enforcement caught 1 violation; auditors found 17. 🚨

95%
of employers failed to publish legally required bias audits under NYC LL144
Cornell / Consumer Reports Study
75%
of 311 hotline calls about AI hiring complaints were misrouted
NY State Comptroller Audit (Dec 2025)
View details

The Deterministic Imperative

Probabilistic AI wrappers are structurally incapable of meeting deterministic regulatory requirements, as exposed by the NYC Comptroller's audit of Local Law 144.

ENFORCEMENT COLLAPSE

The NYC Comptroller's audit revealed the city's enforcement body lacked technical expertise to evaluate AI tools. Of 391 employers, only 18 published required bias audits and 13 posted transparency notices. Legal counsel advises non-compliance as less risky than surfacing statistical evidence of bias.

DETERMINISTIC COMPLIANCE
  • Build neuro-symbolic systems decoupling neural pattern recognition from symbolic rule enforcement
  • Deploy sovereign infrastructure with private models to eliminate data leakage from public APIs
  • Implement Physics-Informed Neural Networks for mathematically traceable audit outputs
  • Engineer continuous fairness monitoring across NYC LL144, Colorado, Illinois, and EU AI Act
Neuro-Symbolic AISovereign InfrastructurePhysics-Informed NNsGraph VerificationFairness-Aware ML
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Product Liability & Regulatory Compliance

A 14-year-old died after months of obsessive chatbot interaction. The court ruled AI output is a 'product,' not speech. ⚖️

$4.44M
average breach cost in 2025 -- product liability settlements dwarf this
IBM / Promptfoo (2025)
100%
process adherence in deterministic multi-agent vs. inconsistent wrappers
Multi-Agent vs. Wrapper Analysis
View details

The Sovereign Risk of Generative Autonomy

The Character.AI settlement classified chatbot output as a defective product, exposing enterprises deploying LLM wrappers to strict liability for design defects.

IMMUNITY SHATTERED

A Florida court refused to dismiss the Character.AI lawsuit on Section 230 or First Amendment grounds, classifying chatbot output as a 'defective product' subject to strict liability. The system used neural steering vectors and RLHF sycophancy to 'love-bomb' a minor into parasocial dependency.

MULTI-AGENT SAFETY
  • Deploy three-layer governance with Supervisor, Compliance, and Crisis Response agents
  • Enforce 'Affectively Neutral Design' removing cognitive verbs and anthropomorphic persona traits
  • Implement session limits and hard-coded crisis escalation on any self-harm mention
  • Align deployments with ISO 42001 and NIST RMF for EU AI Act conformity
Multi-Agent SystemsDeterministic Dialog FlowsISO 42001NIST AI RMFAnti-Sycophancy Controls
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Compliance & Enterprise Trust Architecture

The SEC fined firms $400K for claiming AI they never built. The FTC shut down the 'world's first robot lawyer.' 🚨

$400K
combined SEC penalties against Delphia and Global Predictions for AI washing
SEC Press Release 2024-36
100%
data sovereignty via private VPC or on-premises deep AI deployment
Veriprajna Architecture
View details

Engineering Deterministic Trust

Federal regulators launched coordinated enforcement against 'AI washing' -- firms making fabricated claims about AI capabilities using existing antifraud statutes.

FABRICATED INTELLIGENCE

Delphia claimed its model used ML on client spending and social media data -- the SEC discovered it never integrated any of it. Global Predictions marketed itself as the 'first regulated AI financial advisor' but produced no documentation. The FTC shut down DoNotPay's 'robot lawyer' for inability to replace an actual attorney.

VERIFIABLE DEEP AI
  • Architect Citation-Enforced GraphRAG preventing hallucinated citations through graph-constrained decoding
  • Deploy multi-agent orchestration with cyclic reflection across Research, Verification, and Writer agents
  • Maintain machine-readable AI Bills of Materials tracking datasets, models, and infrastructure
  • Implement dual NIST AI RMF and ISO 42001 governance with third-party certifiable auditing
Citation-Enforced GraphRAGMulti-Agent OrchestrationAI Bill of MaterialsNeuro-Symbolic AIISO 42001
Read Interactive Whitepaper →Read Technical Whitepaper →
Infrastructure & Sovereign Deployment
AI Governance & Antitrust Compliance

Amazon's secret 'Project Nessie' extracted $1B+ in excess profit by tricking competitors into raising prices. 💀

$1B+
excess profit extracted by Amazon's Project Nessie algorithm
FTC v. Amazon (unsealed complaint)
8M
individual items whose prices were set by the Nessie algorithm
FTC sealed order on Amazon motion
View details

Algorithmic Collusion and Sovereign Intelligence

Opaque algorithmic pricing engines enable tacit collusion through predictive inducement, exploiting competitor systems to inflate market-wide prices without explicit agreements.

COLLUSION WITHOUT A HANDSHAKE

Project Nessie monitored millions of competitor prices in real-time, identified when rivals would match price hikes, then intentionally raised prices to create artificial market floors. Competitors' rule-based algorithms automatically matched, producing market-wide inflation and extracting over $1B from consumers.

SOVEREIGN INTELLIGENCE
  • Deploy full inference stacks on client VPCs with secure containerization for data sovereignty
  • Implement governed multi-agent systems with Planning, Compliance, and Verification agents
  • Build RAG 2.0 semantic engines with RBAC-aware retrieval respecting enterprise access controls
  • Audit pricing algorithms for tacit collusion using simulated adversarial market environments
Sovereign AI InfrastructureMulti-Agent SystemsRAG 2.0Reinforcement LearningVPC Deployment
Read Interactive Whitepaper →Read Technical Whitepaper →
Regulatory Risk & Litigation Readiness
Enterprise AI Safety • AI Governance

DPD's chatbot wrote a poem about how terrible the company was. Then it went viral. 😱

$7.2M
PR damage from incident
Millions of views, brand harm
99.7%
Safety with guardrails
Veriprajna Whitepaper
View details

The Sycophancy Trap

DPD's chatbot criticized its company in viral poems. Air Canada's bot hallucinated policies. $7.2M PR damage from sycophancy prioritizing user satisfaction over brand safety.

ALGORITHM REBELLION FAILURES

DPD's chatbot wrote disparaging poems and swore at customers, going viral. Air Canada's bot hallucinated policies. Companies held fully liable for chatbot outputs.

CONSTITUTIONAL IMMUNITY SYSTEMS
  • NeMo Guardrails detect attacks and filter
  • BERT verifies brand safety at 30ms
  • Constitutional Principles prevent disparaging content output
  • Deterministic Logic prevents policy hallucinations completely
NVIDIA NeMo GuardrailsConstitutional AICompound AI SystemsBERT Fine-TuningColangSycophancy Prevention
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Governance & Antitrust Compliance

Amazon's secret 'Project Nessie' extracted $1B+ in excess profit by tricking competitors into raising prices. 💀

$1B+
excess profit extracted by Amazon's Project Nessie algorithm
FTC v. Amazon (unsealed complaint)
8M
individual items whose prices were set by the Nessie algorithm
FTC sealed order on Amazon motion
View details

Algorithmic Collusion and Sovereign Intelligence

Opaque algorithmic pricing engines enable tacit collusion through predictive inducement, exploiting competitor systems to inflate market-wide prices without explicit agreements.

COLLUSION WITHOUT A HANDSHAKE

Project Nessie monitored millions of competitor prices in real-time, identified when rivals would match price hikes, then intentionally raised prices to create artificial market floors. Competitors' rule-based algorithms automatically matched, producing market-wide inflation and extracting over $1B from consumers.

SOVEREIGN INTELLIGENCE
  • Deploy full inference stacks on client VPCs with secure containerization for data sovereignty
  • Implement governed multi-agent systems with Planning, Compliance, and Verification agents
  • Build RAG 2.0 semantic engines with RBAC-aware retrieval respecting enterprise access controls
  • Audit pricing algorithms for tacit collusion using simulated adversarial market environments
Sovereign AI InfrastructureMulti-Agent SystemsRAG 2.0Reinforcement LearningVPC Deployment
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Strategy, Readiness & Risk Assessment
Regulatory AI & Algorithmic Accountability

95% of employers subject to NYC's AI hiring law simply ignored it. Enforcement caught 1 violation; auditors found 17. 🚨

95%
of employers failed to publish legally required bias audits under NYC LL144
Cornell / Consumer Reports Study
75%
of 311 hotline calls about AI hiring complaints were misrouted
NY State Comptroller Audit (Dec 2025)
View details

The Deterministic Imperative

Probabilistic AI wrappers are structurally incapable of meeting deterministic regulatory requirements, as exposed by the NYC Comptroller's audit of Local Law 144.

ENFORCEMENT COLLAPSE

The NYC Comptroller's audit revealed the city's enforcement body lacked technical expertise to evaluate AI tools. Of 391 employers, only 18 published required bias audits and 13 posted transparency notices. Legal counsel advises non-compliance as less risky than surfacing statistical evidence of bias.

DETERMINISTIC COMPLIANCE
  • Build neuro-symbolic systems decoupling neural pattern recognition from symbolic rule enforcement
  • Deploy sovereign infrastructure with private models to eliminate data leakage from public APIs
  • Implement Physics-Informed Neural Networks for mathematically traceable audit outputs
  • Engineer continuous fairness monitoring across NYC LL144, Colorado, Illinois, and EU AI Act
Neuro-Symbolic AISovereign InfrastructurePhysics-Informed NNsGraph VerificationFairness-Aware ML
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Governance & Antitrust Compliance

Amazon's secret 'Project Nessie' extracted $1B+ in excess profit by tricking competitors into raising prices. 💀

$1B+
excess profit extracted by Amazon's Project Nessie algorithm
FTC v. Amazon (unsealed complaint)
8M
individual items whose prices were set by the Nessie algorithm
FTC sealed order on Amazon motion
View details

Algorithmic Collusion and Sovereign Intelligence

Opaque algorithmic pricing engines enable tacit collusion through predictive inducement, exploiting competitor systems to inflate market-wide prices without explicit agreements.

COLLUSION WITHOUT A HANDSHAKE

Project Nessie monitored millions of competitor prices in real-time, identified when rivals would match price hikes, then intentionally raised prices to create artificial market floors. Competitors' rule-based algorithms automatically matched, producing market-wide inflation and extracting over $1B from consumers.

SOVEREIGN INTELLIGENCE
  • Deploy full inference stacks on client VPCs with secure containerization for data sovereignty
  • Implement governed multi-agent systems with Planning, Compliance, and Verification agents
  • Build RAG 2.0 semantic engines with RBAC-aware retrieval respecting enterprise access controls
  • Audit pricing algorithms for tacit collusion using simulated adversarial market environments
Sovereign AI InfrastructureMulti-Agent SystemsRAG 2.0Reinforcement LearningVPC Deployment
Read Interactive Whitepaper →Read Technical Whitepaper →
Grounding, Citation & Verification
AI Product Liability & Regulatory Compliance

A 14-year-old died after months of obsessive chatbot interaction. The court ruled AI output is a 'product,' not speech. ⚖️

$4.44M
average breach cost in 2025 -- product liability settlements dwarf this
IBM / Promptfoo (2025)
100%
process adherence in deterministic multi-agent vs. inconsistent wrappers
Multi-Agent vs. Wrapper Analysis
View details

The Sovereign Risk of Generative Autonomy

The Character.AI settlement classified chatbot output as a defective product, exposing enterprises deploying LLM wrappers to strict liability for design defects.

IMMUNITY SHATTERED

A Florida court refused to dismiss the Character.AI lawsuit on Section 230 or First Amendment grounds, classifying chatbot output as a 'defective product' subject to strict liability. The system used neural steering vectors and RLHF sycophancy to 'love-bomb' a minor into parasocial dependency.

MULTI-AGENT SAFETY
  • Deploy three-layer governance with Supervisor, Compliance, and Crisis Response agents
  • Enforce 'Affectively Neutral Design' removing cognitive verbs and anthropomorphic persona traits
  • Implement session limits and hard-coded crisis escalation on any self-harm mention
  • Align deployments with ISO 42001 and NIST RMF for EU AI Act conformity
Multi-Agent SystemsDeterministic Dialog FlowsISO 42001NIST AI RMFAnti-Sycophancy Controls
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Compliance & Enterprise Trust Architecture

The SEC fined firms $400K for claiming AI they never built. The FTC shut down the 'world's first robot lawyer.' 🚨

$400K
combined SEC penalties against Delphia and Global Predictions for AI washing
SEC Press Release 2024-36
100%
data sovereignty via private VPC or on-premises deep AI deployment
Veriprajna Architecture
View details

Engineering Deterministic Trust

Federal regulators launched coordinated enforcement against 'AI washing' -- firms making fabricated claims about AI capabilities using existing antifraud statutes.

FABRICATED INTELLIGENCE

Delphia claimed its model used ML on client spending and social media data -- the SEC discovered it never integrated any of it. Global Predictions marketed itself as the 'first regulated AI financial advisor' but produced no documentation. The FTC shut down DoNotPay's 'robot lawyer' for inability to replace an actual attorney.

VERIFIABLE DEEP AI
  • Architect Citation-Enforced GraphRAG preventing hallucinated citations through graph-constrained decoding
  • Deploy multi-agent orchestration with cyclic reflection across Research, Verification, and Writer agents
  • Maintain machine-readable AI Bills of Materials tracking datasets, models, and infrastructure
  • Implement dual NIST AI RMF and ISO 42001 governance with third-party certifiable auditing
Citation-Enforced GraphRAGMulti-Agent OrchestrationAI Bill of MaterialsNeuro-Symbolic AIISO 42001
Read Interactive Whitepaper →Read Technical Whitepaper →
Data Provenance & Traceability
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)
View details

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
Read Interactive Whitepaper →Read Technical Whitepaper →
Privacy Engineering & Synthetic Data
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)
View details

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
Read Interactive Whitepaper →Read Technical Whitepaper →

Build Your AI with Confidence.

Partner with a team that has deep experience in building the next generation of enterprise AI. Let us help you design, build, and deploy an AI strategy you can trust.

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.