Industry

Retail & Consumer

Transparent, fair AI systems for retail pricing optimization, brand equity protection, and consumer engagement with built-in explainability and governance.

Solutions Architecture & Reference Implementation
AI Strategy & Brand Equity • Enterprise Deep Tech

Coca-Cola's AI holiday ad was 'soulless' and 'dystopian.' 13% consumer trust. 🎄

13%
Trust in AI-generated ads
2025 Market Research
48%
Trust in hybrid ads
3.7x Trust Premium
View details

The End of the Wrapper Era

Coca-Cola's fully AI-generated ad rejected as soulless. Only 13% consumer trust versus 48% for human-AI hybrid workflows. Hybrid approach preserves brand equity.

AESTHETIC HALLUCINATION ANATOMY

AI-generated ads show dead-eyed smiles and physics violations. Trucks float, shapes morph, creating soulless aesthetic. Models memorize transitions, not real physics.

HYBRID SANDWICH METHOD
  • AI enables rapid virtual storyboarding pre-production
  • Humans film real talent for emotional
  • AI sculpts post-production with ControlNet precision
  • ComfyUI workflows ensure brand asset consistency
Hybrid AIControlNetLoRAComfyUIHuman-in-the-LoopBrand Equity Preservation
Read Interactive Whitepaper →Read Technical Whitepaper →
Fashion E-Commerce & Physics-Based AI

Fashion uses 1D measurements (bust, waist) to describe complex 3D topology. Result: 30-40% return rate, $890B crisis. This is a GEOMETRIC problem, not a visual one. 📐

$890B
US Retail Returns Cost (2024)
National Retail Federation 2024
1-2cm
Measurement Accuracy (BLADE Algorithm)
Veriprajna HMR Implementation Whitepaper
View details

The Geometric Imperative: Physics-Based AI for Fashion E-Commerce

Fashion's $890B returns crisis stems from fit issues. Veriprajna uses Physics-Based 3D reconstruction and FEA for accurate virtual try-on solutions.

RETURNS CRISIS ECONOMICS

Fashion returns reach 30-40% due to fit issues. GenAI virtual try-ons create visual illusions without metric accuracy, driving conversions but guaranteeing returns.

PHYSICS-BASED FIT PREDICTION
  • 3D mesh recovery using vision transformers
  • FEA simulation with real fabric properties
  • Stress heatmaps show fit zones visually
  • Proven 20-30% returns reduction at scale
3D Body ReconstructionFinite Element AnalysisVision TransformersBLADE Algorithm
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise AI Partnerships • Deterministic Cores • Sovereign Infrastructure

McDonald's fired IBM after 3 years. Their AI plateaued at 80% accuracy — adding 260 nuggets to one order and garnishing ice cream with bacon. 🤖

80%
McDonald's AOT order accuracy rate vs 95-99% industry target for production AI
McDonald's-IBM Drive-Thru Pilot Analysis
22s
Faster service time in AI-powered lanes compared to human-staffed drive-thru
2025 Drive-Thru Performance Study
View details

The Architecture of Reliability

McDonald's terminated its 3-year IBM AI partnership after accuracy plateaued at 80-85% — well below human benchmarks — exposing the maturity chasm between wrapper-based and deterministic AI architectures.

MATURITY CHASM DEFEATS WRAPPERS

McDonald's three-year, 100-location pilot with IBM was terminated because wrapper architecture failed under real-world conditions. Environmental entropy, accent barriers, and greedy decoding produced $222 phantom nugget orders that went viral.

DETERMINISTIC CORE ARCHITECTURE
  • Symbolic inference engine reasoning over structured knowledge graphs with fixed logic catching absurd outputs
  • MVDR beamforming with multi-microphone arrays steering spatial focus to nullify environmental noise
  • Persistent semantic brain using RNNs and LSTMs maintaining context across the full user journey
  • Sovereign data architecture with privacy-by-design preventing biometric data litigation under BIPA
Beamforming DSPKnowledge GraphsDeterministic CoreEdge InferenceSovereign AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Knowledge Graph & Domain Ontology Engineering
Enterprise Authentication • Synthetic Media Detection • Forensic AI

Amazon blocked 275 million fake reviews in 2024. Tripadvisor caught AI-generated 'ghost hotels' — complete fake listings with photorealistic rooms that don't exist. 👻

275M+
Fake reviews blocked by Amazon alone in 2024 as synthetic fraud escalates
Amazon Trust & Safety Report, 2024
93%
Detection accuracy (AUC) achieved by deep AI multi-layered verification stack
Veriprajna Verification Benchmark
View details

Cognitive Integrity in the Age of Synthetic Deception

275 million fake reviews blocked and AI-generated ghost hotels with photorealistic interiors that don't exist — commercial LLMs show 90%+ vulnerability to prompt injection that marks fakes as authentic.

SYNTHETIC DECEPTION AT SCALE

The internet's trust baseline is permanently altered. Platforms blocked over 280 million fake reviews in 2024, the FTC enacted its first synthetic fraud rule, and LLM wrappers with 90%+ prompt injection vulnerability cannot keep pace with AI-generated deception.

DEEP AI VERIFICATION STACK
  • Stylometric fingerprinting via TDRLM framework isolating writing style from topic with high-precision detection
  • Behavioral graph topology mapping users, devices, and accounts to expose coordinated fraud networks
  • Pixel-level forensic analysis detecting AI-generated images and ghost hotel listings across platforms
  • Five pillars of agent security preventing semantic privilege escalation and data exfiltration attacks
Stylometric AIGraph TopologyForensic VisionAnti-Fraud AIAgent Security
Read Interactive Whitepaper →Read Technical Whitepaper →
GraphRAG / RAG Architecture
Retail AI Safety • GraphRAG • Citation Enforcement

Amazon's Rufus AI hallucinated the Super Bowl location and — with no jailbreak needed — gave instructions for building a Molotov cocktail via product queries. 🔥

99.9%
Factual accuracy target achievable through GraphRAG verification architecture
Veriprajna Deep AI Benchmark
72->88%
Reliability lift from standard ReAct to multi-agent production systems
Multi-Agent Systems Performance Study
View details

The Architecture of Truth

Amazon Rufus hallucinated factual information and provided dangerous instructions through standard product queries — proving that LLM wrappers without citation-enforced GraphRAG are enterprise liabilities.

PROMPT AND PRAY ERA OVER

Amazon Rufus hallucinated the Super Bowl location and surfaced chemical weapon instructions through standard queries. The conflation of linguistic fluency with operational intelligence is the fundamental failure of the LLM wrapper paradigm.

NEURO-SYMBOLIC TRUTH FRAMEWORK
  • GraphRAG searching semantic relationships with traversal-path citations preventing fabricated claims
  • Supervisor-routed multi-agent system with specialist agents replacing fragile single mega-prompt approach
  • Sandwich architecture ensuring deterministic execution of all state-changing transactional operations
  • Dialect-aware NLU addressing linguistic fragility across African American, Chicano, and Indian English
GraphRAGMulti-Agent OrchestrationNeuro-Symbolic AINIST AI RMFDialect-Aware NLU
Read Interactive Whitepaper →Read Technical Whitepaper →
Safety Guardrails & Validation Layers
Retail & Consumer AI Pricing

Instacart's AI charged different users different prices for the same groceries. The FTC settled for $60 million. 💸

$60M
FTC settlement against Instacart for deceptive AI-driven pricing
FTC Press Release (Dec 2025)
$1,200
estimated annual cost per household from algorithmic price manipulation
Consumer Advocacy Analysis
View details

The Architecture of Truth

Probabilistic AI pricing engines without deterministic constraints exploit consumer data for personalized price discrimination, eroding trust and triggering regulatory enforcement.

PRICE DISCRIMINATION BY CODE

Instacart's Eversight AI ran randomized pricing experiments on 75% of its catalog, generating up to five different prices for the same item. A hidden 'hide_refund' experiment removed self-service refunds, saving $289,000 per week while deceiving consumers.

NEURO-SYMBOLIC SOVEREIGNTY
  • Enforce symbolic constraint layers with formal legal ontologies neural engines cannot override
  • Implement Structural Causal Models for counterfactual fairness in demographic-neutral pricing
  • Deploy GraphRAG with ontology-driven reasoning to detect proxy-to-bias dependencies
  • Automate real-time disclosure tagging for NY Algorithmic Pricing Disclosure Act compliance
Neuro-Symbolic AICausal InferenceGraphRAGKnowledge GraphsCounterfactual Fairness
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise AI Resilience • Multi-Agent Orchestration • Adversarial Defense

After 2 million successful orders, a Taco Bell AI bot tried to process 18,000 cups of water from one customer. It had zero concept of physical reality. 🌮

18,000
Water cups ordered in a single prank that forced Taco Bell to pause AI rollout
Taco Bell AI Incident Report
70-85%
GenAI project failure rate across enterprise deployments globally
Enterprise AI Deployment Analysis
View details

Beyond the LLM Wrapper

After 2 million successful orders, a voice AI attempted to process 18,000 water cups — proving that probabilistic systems without deterministic state machines have zero concept of operational reality.

WRAPPER LACKS COMMON SENSE

After processing two million orders, a single prank order exposed the absence of real-world reasoning in mega-prompt wrappers. The AI fulfilled a syntactically correct but operationally absurd request because it operated in a purely linguistic vacuum.

STATE MACHINE GOVERNED AGENTS
  • Multi-agent orchestration with planning, execution, validation, and retrieval agents in defined roles
  • Finite state machines providing deterministic tracks ensuring AI cannot deviate from required workflows
  • Semantic validation layer checking outputs against policy tables to prevent operationally absurd results
  • Adversarial defense against prompt injection 2.0 including indirect, multimodal, and delayed attacks
Multi-Agent SystemsState MachinesSemantic ValidationAdversarial DefenseDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Deterministic Workflows & Tooling
Enterprise AI Resilience • Multi-Agent Orchestration • Adversarial Defense

After 2 million successful orders, a Taco Bell AI bot tried to process 18,000 cups of water from one customer. It had zero concept of physical reality. 🌮

18,000
Water cups ordered in a single prank that forced Taco Bell to pause AI rollout
Taco Bell AI Incident Report
70-85%
GenAI project failure rate across enterprise deployments globally
Enterprise AI Deployment Analysis
View details

Beyond the LLM Wrapper

After 2 million successful orders, a voice AI attempted to process 18,000 water cups — proving that probabilistic systems without deterministic state machines have zero concept of operational reality.

WRAPPER LACKS COMMON SENSE

After processing two million orders, a single prank order exposed the absence of real-world reasoning in mega-prompt wrappers. The AI fulfilled a syntactically correct but operationally absurd request because it operated in a purely linguistic vacuum.

STATE MACHINE GOVERNED AGENTS
  • Multi-agent orchestration with planning, execution, validation, and retrieval agents in defined roles
  • Finite state machines providing deterministic tracks ensuring AI cannot deviate from required workflows
  • Semantic validation layer checking outputs against policy tables to prevent operationally absurd results
  • Adversarial defense against prompt injection 2.0 including indirect, multimodal, and delayed attacks
Multi-Agent SystemsState MachinesSemantic ValidationAdversarial DefenseDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise AI Partnerships • Deterministic Cores • Sovereign Infrastructure

McDonald's fired IBM after 3 years. Their AI plateaued at 80% accuracy — adding 260 nuggets to one order and garnishing ice cream with bacon. 🤖

80%
McDonald's AOT order accuracy rate vs 95-99% industry target for production AI
McDonald's-IBM Drive-Thru Pilot Analysis
22s
Faster service time in AI-powered lanes compared to human-staffed drive-thru
2025 Drive-Thru Performance Study
View details

The Architecture of Reliability

McDonald's terminated its 3-year IBM AI partnership after accuracy plateaued at 80-85% — well below human benchmarks — exposing the maturity chasm between wrapper-based and deterministic AI architectures.

MATURITY CHASM DEFEATS WRAPPERS

McDonald's three-year, 100-location pilot with IBM was terminated because wrapper architecture failed under real-world conditions. Environmental entropy, accent barriers, and greedy decoding produced $222 phantom nugget orders that went viral.

DETERMINISTIC CORE ARCHITECTURE
  • Symbolic inference engine reasoning over structured knowledge graphs with fixed logic catching absurd outputs
  • MVDR beamforming with multi-microphone arrays steering spatial focus to nullify environmental noise
  • Persistent semantic brain using RNNs and LSTMs maintaining context across the full user journey
  • Sovereign data architecture with privacy-by-design preventing biometric data litigation under BIPA
Beamforming DSPKnowledge GraphsDeterministic CoreEdge InferenceSovereign AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Multi-Agent Orchestration & Supervisor Controls
Enterprise AI Resilience • Multi-Agent Orchestration • Adversarial Defense

After 2 million successful orders, a Taco Bell AI bot tried to process 18,000 cups of water from one customer. It had zero concept of physical reality. 🌮

18,000
Water cups ordered in a single prank that forced Taco Bell to pause AI rollout
Taco Bell AI Incident Report
70-85%
GenAI project failure rate across enterprise deployments globally
Enterprise AI Deployment Analysis
View details

Beyond the LLM Wrapper

After 2 million successful orders, a voice AI attempted to process 18,000 water cups — proving that probabilistic systems without deterministic state machines have zero concept of operational reality.

WRAPPER LACKS COMMON SENSE

After processing two million orders, a single prank order exposed the absence of real-world reasoning in mega-prompt wrappers. The AI fulfilled a syntactically correct but operationally absurd request because it operated in a purely linguistic vacuum.

STATE MACHINE GOVERNED AGENTS
  • Multi-agent orchestration with planning, execution, validation, and retrieval agents in defined roles
  • Finite state machines providing deterministic tracks ensuring AI cannot deviate from required workflows
  • Semantic validation layer checking outputs against policy tables to prevent operationally absurd results
  • Adversarial defense against prompt injection 2.0 including indirect, multimodal, and delayed attacks
Multi-Agent SystemsState MachinesSemantic ValidationAdversarial DefenseDeterministic AI
Read Interactive Whitepaper →Read Technical Whitepaper →
Retail AI Safety • GraphRAG • Citation Enforcement

Amazon's Rufus AI hallucinated the Super Bowl location and — with no jailbreak needed — gave instructions for building a Molotov cocktail via product queries. 🔥

99.9%
Factual accuracy target achievable through GraphRAG verification architecture
Veriprajna Deep AI Benchmark
72->88%
Reliability lift from standard ReAct to multi-agent production systems
Multi-Agent Systems Performance Study
View details

The Architecture of Truth

Amazon Rufus hallucinated factual information and provided dangerous instructions through standard product queries — proving that LLM wrappers without citation-enforced GraphRAG are enterprise liabilities.

PROMPT AND PRAY ERA OVER

Amazon Rufus hallucinated the Super Bowl location and surfaced chemical weapon instructions through standard queries. The conflation of linguistic fluency with operational intelligence is the fundamental failure of the LLM wrapper paradigm.

NEURO-SYMBOLIC TRUTH FRAMEWORK
  • GraphRAG searching semantic relationships with traversal-path citations preventing fabricated claims
  • Supervisor-routed multi-agent system with specialist agents replacing fragile single mega-prompt approach
  • Sandwich architecture ensuring deterministic execution of all state-changing transactional operations
  • Dialect-aware NLU addressing linguistic fragility across African American, Chicano, and Indian English
GraphRAGMulti-Agent OrchestrationNeuro-Symbolic AINIST AI RMFDialect-Aware NLU
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Governance & Compliance Program
AI Strategy & Brand Equity • Enterprise Deep Tech

Coca-Cola's AI holiday ad was 'soulless' and 'dystopian.' 13% consumer trust. 🎄

13%
Trust in AI-generated ads
2025 Market Research
48%
Trust in hybrid ads
3.7x Trust Premium
View details

The End of the Wrapper Era

Coca-Cola's fully AI-generated ad rejected as soulless. Only 13% consumer trust versus 48% for human-AI hybrid workflows. Hybrid approach preserves brand equity.

AESTHETIC HALLUCINATION ANATOMY

AI-generated ads show dead-eyed smiles and physics violations. Trucks float, shapes morph, creating soulless aesthetic. Models memorize transitions, not real physics.

HYBRID SANDWICH METHOD
  • AI enables rapid virtual storyboarding pre-production
  • Humans film real talent for emotional
  • AI sculpts post-production with ControlNet precision
  • ComfyUI workflows ensure brand asset consistency
Hybrid AIControlNetLoRAComfyUIHuman-in-the-LoopBrand Equity Preservation
Read Interactive Whitepaper →Read Technical Whitepaper →
Retail & Consumer AI Pricing

Instacart's AI charged different users different prices for the same groceries. The FTC settled for $60 million. 💸

$60M
FTC settlement against Instacart for deceptive AI-driven pricing
FTC Press Release (Dec 2025)
$1,200
estimated annual cost per household from algorithmic price manipulation
Consumer Advocacy Analysis
View details

The Architecture of Truth

Probabilistic AI pricing engines without deterministic constraints exploit consumer data for personalized price discrimination, eroding trust and triggering regulatory enforcement.

PRICE DISCRIMINATION BY CODE

Instacart's Eversight AI ran randomized pricing experiments on 75% of its catalog, generating up to five different prices for the same item. A hidden 'hide_refund' experiment removed self-service refunds, saving $289,000 per week while deceiving consumers.

NEURO-SYMBOLIC SOVEREIGNTY
  • Enforce symbolic constraint layers with formal legal ontologies neural engines cannot override
  • Implement Structural Causal Models for counterfactual fairness in demographic-neutral pricing
  • Deploy GraphRAG with ontology-driven reasoning to detect proxy-to-bias dependencies
  • Automate real-time disclosure tagging for NY Algorithmic Pricing Disclosure Act compliance
Neuro-Symbolic AICausal InferenceGraphRAGKnowledge GraphsCounterfactual Fairness
Read Interactive Whitepaper →Read Technical Whitepaper →
Edge AI & Real-Time Deployment
QSR Voice AI • Edge Inference • Inclusive ASR

Wendy's drive-thru AI makes customers repeat orders 3+ times and is 'unusable' for 80 million people who stutter. They're expanding to 600 locations anyway. 🍔

14%
Order failure rate requiring human rescue in current drive-thru voice AI systems
QSR Drive-Thru AI Performance Study
<300ms
Gold standard latency threshold for natural voice interaction in drive-thru
Voice AI Latency Benchmark
View details

Beyond API Wrappers in Voice AI

Drive-thru voice AI systems with 14% failure rates cut off customers mid-sentence and exclude 80+ million people who stutter — optimizing for upsell metrics while ignoring the human toll.

VOICE AI EXCLUDES MILLIONS

Drive-thru accounts for 75-80% of QSR sales yet current AI deployments cause 3x repeat attempts. Stuttering affects 80 million people globally and current ASR models return negative BERTScores on disordered speech, creating systemic exclusion.

INCLUSIVE EDGE VOICE ARCHITECTURE
  • Multi-layered neural VAD with probability scoring and context-aware turn-taking replacing binary thresholds
  • Disfluency-aware ASR with dynamic pause tolerance ensuring every speech pattern is understood equitably
  • Edge-native inference achieving sub-300ms latency without cloud round-trip dependency for real-time response
  • Four lines of defense including guardrails preventing hallucination, data leakage, and brand damage
Edge AINeural VADConformer ASRVoice AIInclusive Design
Read Interactive Whitepaper →Read Technical Whitepaper →
Regulatory Risk & Litigation Readiness
Ethical AI • Dark Patterns • Consumer Protection

Epic Games paid $245 million — the largest FTC fine in history — for tricking Fortnite players into accidental purchases with a single button press. 🎮

$245M
Largest FTC dark pattern settlement against Epic Games for deceptive billing
FTC Administrative Order, 2023
15-20%
Of customers are genuinely "persuadable" where retention intervention works
Causal Retention Analysis
View details

The Ethical Frontier of Retention

AI-driven retention systems weaponize dark patterns — multi-step cancellation flows and deceptive UI — replacing value-driven engagement with algorithmic friction that now triggers record FTC enforcement.

DARK PATTERNS DESTROY TRUST

The FTC's Click-to-Cancel rule ended the era of dark-pattern growth. Enterprises using labyrinthine cancellation flows or AI agents deploying emotional shaming are eroding trust equity essential for long-term value and facing regulatory enforcement.

ALGORITHMIC ACCOUNTABILITY ENGINE
  • Causal inference models distinguishing correlation from causation to identify true retention drivers
  • RLHF alignment pipeline training agents on clarity and helpfulness while eliminating shaming patterns
  • Automated multimodal compliance auditing across voice, text, and UI interaction channels
  • Ethical retention segmentation identifying persuadable customers for resource-efficient intervention
Causal AIRLHF AlignmentCompliance AuditingEthical AIRetention Science
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Strategy, Readiness & Risk Assessment
AI Strategy & Brand Equity • Enterprise Deep Tech

Coca-Cola's AI holiday ad was 'soulless' and 'dystopian.' 13% consumer trust. 🎄

13%
Trust in AI-generated ads
2025 Market Research
48%
Trust in hybrid ads
3.7x Trust Premium
View details

The End of the Wrapper Era

Coca-Cola's fully AI-generated ad rejected as soulless. Only 13% consumer trust versus 48% for human-AI hybrid workflows. Hybrid approach preserves brand equity.

AESTHETIC HALLUCINATION ANATOMY

AI-generated ads show dead-eyed smiles and physics violations. Trucks float, shapes morph, creating soulless aesthetic. Models memorize transitions, not real physics.

HYBRID SANDWICH METHOD
  • AI enables rapid virtual storyboarding pre-production
  • Humans film real talent for emotional
  • AI sculpts post-production with ControlNet precision
  • ComfyUI workflows ensure brand asset consistency
Hybrid AIControlNetLoRAComfyUIHuman-in-the-LoopBrand Equity Preservation
Read Interactive Whitepaper →Read Technical Whitepaper →
Retail & Consumer AI Pricing

Instacart's AI charged different users different prices for the same groceries. The FTC settled for $60 million. 💸

$60M
FTC settlement against Instacart for deceptive AI-driven pricing
FTC Press Release (Dec 2025)
$1,200
estimated annual cost per household from algorithmic price manipulation
Consumer Advocacy Analysis
View details

The Architecture of Truth

Probabilistic AI pricing engines without deterministic constraints exploit consumer data for personalized price discrimination, eroding trust and triggering regulatory enforcement.

PRICE DISCRIMINATION BY CODE

Instacart's Eversight AI ran randomized pricing experiments on 75% of its catalog, generating up to five different prices for the same item. A hidden 'hide_refund' experiment removed self-service refunds, saving $289,000 per week while deceiving consumers.

NEURO-SYMBOLIC SOVEREIGNTY
  • Enforce symbolic constraint layers with formal legal ontologies neural engines cannot override
  • Implement Structural Causal Models for counterfactual fairness in demographic-neutral pricing
  • Deploy GraphRAG with ontology-driven reasoning to detect proxy-to-bias dependencies
  • Automate real-time disclosure tagging for NY Algorithmic Pricing Disclosure Act compliance
Neuro-Symbolic AICausal InferenceGraphRAGKnowledge GraphsCounterfactual Fairness
Read Interactive Whitepaper →Read Technical Whitepaper →
Grounding, Citation & Verification
Retail AI Safety • GraphRAG • Citation Enforcement

Amazon's Rufus AI hallucinated the Super Bowl location and — with no jailbreak needed — gave instructions for building a Molotov cocktail via product queries. 🔥

99.9%
Factual accuracy target achievable through GraphRAG verification architecture
Veriprajna Deep AI Benchmark
72->88%
Reliability lift from standard ReAct to multi-agent production systems
Multi-Agent Systems Performance Study
View details

The Architecture of Truth

Amazon Rufus hallucinated factual information and provided dangerous instructions through standard product queries — proving that LLM wrappers without citation-enforced GraphRAG are enterprise liabilities.

PROMPT AND PRAY ERA OVER

Amazon Rufus hallucinated the Super Bowl location and surfaced chemical weapon instructions through standard queries. The conflation of linguistic fluency with operational intelligence is the fundamental failure of the LLM wrapper paradigm.

NEURO-SYMBOLIC TRUTH FRAMEWORK
  • GraphRAG searching semantic relationships with traversal-path citations preventing fabricated claims
  • Supervisor-routed multi-agent system with specialist agents replacing fragile single mega-prompt approach
  • Sandwich architecture ensuring deterministic execution of all state-changing transactional operations
  • Dialect-aware NLU addressing linguistic fragility across African American, Chicano, and Indian English
GraphRAGMulti-Agent OrchestrationNeuro-Symbolic AINIST AI RMFDialect-Aware NLU
Read Interactive Whitepaper →Read Technical Whitepaper →
Simulation, Digital Twins & Optimization
Fashion E-Commerce & Physics-Based AI

Fashion uses 1D measurements (bust, waist) to describe complex 3D topology. Result: 30-40% return rate, $890B crisis. This is a GEOMETRIC problem, not a visual one. 📐

$890B
US Retail Returns Cost (2024)
National Retail Federation 2024
1-2cm
Measurement Accuracy (BLADE Algorithm)
Veriprajna HMR Implementation Whitepaper
View details

The Geometric Imperative: Physics-Based AI for Fashion E-Commerce

Fashion's $890B returns crisis stems from fit issues. Veriprajna uses Physics-Based 3D reconstruction and FEA for accurate virtual try-on solutions.

RETURNS CRISIS ECONOMICS

Fashion returns reach 30-40% due to fit issues. GenAI virtual try-ons create visual illusions without metric accuracy, driving conversions but guaranteeing returns.

PHYSICS-BASED FIT PREDICTION
  • 3D mesh recovery using vision transformers
  • FEA simulation with real fabric properties
  • Stress heatmaps show fit zones visually
  • Proven 20-30% returns reduction at scale
3D Body ReconstructionFinite Element AnalysisVision TransformersBLADE Algorithm
Read Interactive Whitepaper →Read Technical Whitepaper →
Model Development & Fine-Tuning
QSR Voice AI • Edge Inference • Inclusive ASR

Wendy's drive-thru AI makes customers repeat orders 3+ times and is 'unusable' for 80 million people who stutter. They're expanding to 600 locations anyway. 🍔

14%
Order failure rate requiring human rescue in current drive-thru voice AI systems
QSR Drive-Thru AI Performance Study
<300ms
Gold standard latency threshold for natural voice interaction in drive-thru
Voice AI Latency Benchmark
View details

Beyond API Wrappers in Voice AI

Drive-thru voice AI systems with 14% failure rates cut off customers mid-sentence and exclude 80+ million people who stutter — optimizing for upsell metrics while ignoring the human toll.

VOICE AI EXCLUDES MILLIONS

Drive-thru accounts for 75-80% of QSR sales yet current AI deployments cause 3x repeat attempts. Stuttering affects 80 million people globally and current ASR models return negative BERTScores on disordered speech, creating systemic exclusion.

INCLUSIVE EDGE VOICE ARCHITECTURE
  • Multi-layered neural VAD with probability scoring and context-aware turn-taking replacing binary thresholds
  • Disfluency-aware ASR with dynamic pause tolerance ensuring every speech pattern is understood equitably
  • Edge-native inference achieving sub-300ms latency without cloud round-trip dependency for real-time response
  • Four lines of defense including guardrails preventing hallucination, data leakage, and brand damage
Edge AINeural VADConformer ASRVoice AIInclusive Design
Read Interactive Whitepaper →Read Technical Whitepaper →
Computer Vision & Perception Engineering
Fashion E-Commerce & Physics-Based AI

Fashion uses 1D measurements (bust, waist) to describe complex 3D topology. Result: 30-40% return rate, $890B crisis. This is a GEOMETRIC problem, not a visual one. 📐

$890B
US Retail Returns Cost (2024)
National Retail Federation 2024
1-2cm
Measurement Accuracy (BLADE Algorithm)
Veriprajna HMR Implementation Whitepaper
View details

The Geometric Imperative: Physics-Based AI for Fashion E-Commerce

Fashion's $890B returns crisis stems from fit issues. Veriprajna uses Physics-Based 3D reconstruction and FEA for accurate virtual try-on solutions.

RETURNS CRISIS ECONOMICS

Fashion returns reach 30-40% due to fit issues. GenAI virtual try-ons create visual illusions without metric accuracy, driving conversions but guaranteeing returns.

PHYSICS-BASED FIT PREDICTION
  • 3D mesh recovery using vision transformers
  • FEA simulation with real fabric properties
  • Stress heatmaps show fit zones visually
  • Proven 20-30% returns reduction at scale
3D Body ReconstructionFinite Element AnalysisVision TransformersBLADE Algorithm
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise Authentication • Synthetic Media Detection • Forensic AI

Amazon blocked 275 million fake reviews in 2024. Tripadvisor caught AI-generated 'ghost hotels' — complete fake listings with photorealistic rooms that don't exist. 👻

275M+
Fake reviews blocked by Amazon alone in 2024 as synthetic fraud escalates
Amazon Trust & Safety Report, 2024
93%
Detection accuracy (AUC) achieved by deep AI multi-layered verification stack
Veriprajna Verification Benchmark
View details

Cognitive Integrity in the Age of Synthetic Deception

275 million fake reviews blocked and AI-generated ghost hotels with photorealistic interiors that don't exist — commercial LLMs show 90%+ vulnerability to prompt injection that marks fakes as authentic.

SYNTHETIC DECEPTION AT SCALE

The internet's trust baseline is permanently altered. Platforms blocked over 280 million fake reviews in 2024, the FTC enacted its first synthetic fraud rule, and LLM wrappers with 90%+ prompt injection vulnerability cannot keep pace with AI-generated deception.

DEEP AI VERIFICATION STACK
  • Stylometric fingerprinting via TDRLM framework isolating writing style from topic with high-precision detection
  • Behavioral graph topology mapping users, devices, and accounts to expose coordinated fraud networks
  • Pixel-level forensic analysis detecting AI-generated images and ghost hotel listings across platforms
  • Five pillars of agent security preventing semantic privilege escalation and data exfiltration attacks
Stylometric AIGraph TopologyForensic VisionAnti-Fraud AIAgent Security
Read Interactive Whitepaper →Read Technical Whitepaper →
Fairness Audit & Bias Mitigation
Ethical AI • Dark Patterns • Consumer Protection

Epic Games paid $245 million — the largest FTC fine in history — for tricking Fortnite players into accidental purchases with a single button press. 🎮

$245M
Largest FTC dark pattern settlement against Epic Games for deceptive billing
FTC Administrative Order, 2023
15-20%
Of customers are genuinely "persuadable" where retention intervention works
Causal Retention Analysis
View details

The Ethical Frontier of Retention

AI-driven retention systems weaponize dark patterns — multi-step cancellation flows and deceptive UI — replacing value-driven engagement with algorithmic friction that now triggers record FTC enforcement.

DARK PATTERNS DESTROY TRUST

The FTC's Click-to-Cancel rule ended the era of dark-pattern growth. Enterprises using labyrinthine cancellation flows or AI agents deploying emotional shaming are eroding trust equity essential for long-term value and facing regulatory enforcement.

ALGORITHMIC ACCOUNTABILITY ENGINE
  • Causal inference models distinguishing correlation from causation to identify true retention drivers
  • RLHF alignment pipeline training agents on clarity and helpfulness while eliminating shaming patterns
  • Automated multimodal compliance auditing across voice, text, and UI interaction channels
  • Ethical retention segmentation identifying persuadable customers for resource-efficient intervention
Causal AIRLHF AlignmentCompliance AuditingEthical AIRetention Science
Read Interactive Whitepaper →Read Technical Whitepaper →
Security Assessment & Hardening
Enterprise Authentication • Synthetic Media Detection • Forensic AI

Amazon blocked 275 million fake reviews in 2024. Tripadvisor caught AI-generated 'ghost hotels' — complete fake listings with photorealistic rooms that don't exist. 👻

275M+
Fake reviews blocked by Amazon alone in 2024 as synthetic fraud escalates
Amazon Trust & Safety Report, 2024
93%
Detection accuracy (AUC) achieved by deep AI multi-layered verification stack
Veriprajna Verification Benchmark
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Cognitive Integrity in the Age of Synthetic Deception

275 million fake reviews blocked and AI-generated ghost hotels with photorealistic interiors that don't exist — commercial LLMs show 90%+ vulnerability to prompt injection that marks fakes as authentic.

SYNTHETIC DECEPTION AT SCALE

The internet's trust baseline is permanently altered. Platforms blocked over 280 million fake reviews in 2024, the FTC enacted its first synthetic fraud rule, and LLM wrappers with 90%+ prompt injection vulnerability cannot keep pace with AI-generated deception.

DEEP AI VERIFICATION STACK
  • Stylometric fingerprinting via TDRLM framework isolating writing style from topic with high-precision detection
  • Behavioral graph topology mapping users, devices, and accounts to expose coordinated fraud networks
  • Pixel-level forensic analysis detecting AI-generated images and ghost hotel listings across platforms
  • Five pillars of agent security preventing semantic privilege escalation and data exfiltration attacks
Stylometric AIGraph TopologyForensic VisionAnti-Fraud AIAgent Security
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Causal & Counterfactual Modeling
Ethical AI • Dark Patterns • Consumer Protection

Epic Games paid $245 million — the largest FTC fine in history — for tricking Fortnite players into accidental purchases with a single button press. 🎮

$245M
Largest FTC dark pattern settlement against Epic Games for deceptive billing
FTC Administrative Order, 2023
15-20%
Of customers are genuinely "persuadable" where retention intervention works
Causal Retention Analysis
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The Ethical Frontier of Retention

AI-driven retention systems weaponize dark patterns — multi-step cancellation flows and deceptive UI — replacing value-driven engagement with algorithmic friction that now triggers record FTC enforcement.

DARK PATTERNS DESTROY TRUST

The FTC's Click-to-Cancel rule ended the era of dark-pattern growth. Enterprises using labyrinthine cancellation flows or AI agents deploying emotional shaming are eroding trust equity essential for long-term value and facing regulatory enforcement.

ALGORITHMIC ACCOUNTABILITY ENGINE
  • Causal inference models distinguishing correlation from causation to identify true retention drivers
  • RLHF alignment pipeline training agents on clarity and helpfulness while eliminating shaming patterns
  • Automated multimodal compliance auditing across voice, text, and UI interaction channels
  • Ethical retention segmentation identifying persuadable customers for resource-efficient intervention
Causal AIRLHF AlignmentCompliance AuditingEthical AIRetention Science
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Voice AI & Conversational Systems
QSR Voice AI • Edge Inference • Inclusive ASR

Wendy's drive-thru AI makes customers repeat orders 3+ times and is 'unusable' for 80 million people who stutter. They're expanding to 600 locations anyway. 🍔

14%
Order failure rate requiring human rescue in current drive-thru voice AI systems
QSR Drive-Thru AI Performance Study
<300ms
Gold standard latency threshold for natural voice interaction in drive-thru
Voice AI Latency Benchmark
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Beyond API Wrappers in Voice AI

Drive-thru voice AI systems with 14% failure rates cut off customers mid-sentence and exclude 80+ million people who stutter — optimizing for upsell metrics while ignoring the human toll.

VOICE AI EXCLUDES MILLIONS

Drive-thru accounts for 75-80% of QSR sales yet current AI deployments cause 3x repeat attempts. Stuttering affects 80 million people globally and current ASR models return negative BERTScores on disordered speech, creating systemic exclusion.

INCLUSIVE EDGE VOICE ARCHITECTURE
  • Multi-layered neural VAD with probability scoring and context-aware turn-taking replacing binary thresholds
  • Disfluency-aware ASR with dynamic pause tolerance ensuring every speech pattern is understood equitably
  • Edge-native inference achieving sub-300ms latency without cloud round-trip dependency for real-time response
  • Four lines of defense including guardrails preventing hallucination, data leakage, and brand damage
Edge AINeural VADConformer ASRVoice AIInclusive Design
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Enterprise AI Partnerships • Deterministic Cores • Sovereign Infrastructure

McDonald's fired IBM after 3 years. Their AI plateaued at 80% accuracy — adding 260 nuggets to one order and garnishing ice cream with bacon. 🤖

80%
McDonald's AOT order accuracy rate vs 95-99% industry target for production AI
McDonald's-IBM Drive-Thru Pilot Analysis
22s
Faster service time in AI-powered lanes compared to human-staffed drive-thru
2025 Drive-Thru Performance Study
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The Architecture of Reliability

McDonald's terminated its 3-year IBM AI partnership after accuracy plateaued at 80-85% — well below human benchmarks — exposing the maturity chasm between wrapper-based and deterministic AI architectures.

MATURITY CHASM DEFEATS WRAPPERS

McDonald's three-year, 100-location pilot with IBM was terminated because wrapper architecture failed under real-world conditions. Environmental entropy, accent barriers, and greedy decoding produced $222 phantom nugget orders that went viral.

DETERMINISTIC CORE ARCHITECTURE
  • Symbolic inference engine reasoning over structured knowledge graphs with fixed logic catching absurd outputs
  • MVDR beamforming with multi-microphone arrays steering spatial focus to nullify environmental noise
  • Persistent semantic brain using RNNs and LSTMs maintaining context across the full user journey
  • Sovereign data architecture with privacy-by-design preventing biometric data litigation under BIPA
Beamforming DSPKnowledge GraphsDeterministic CoreEdge InferenceSovereign AI
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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.