136 Domain Experts
Multi-Path Reasoning
454 AI models + 136 MoE experts across 17 platforms. Verifier-based RL training delivers 94%+ verified accuracy.
Mixture-of-Experts Architecture
136 domain-specialized experts with intelligent routing for precise, context-aware predictions
Domain Experts
8 specialized experts per platform across 17 business domains. Each expert trained on specific prediction types.
Sparse Activation
Only relevant experts process each query. Reduces compute by 80% while maintaining accuracy.
Consensus Reasoning
Parallel reasoning paths with majority voting, confidence weighting, and verification aggregation.
Verifier-Based RL Training
- ✓Step-by-step reasoning verification for each prediction
- ✓Outcome verification using real business results
- ✓Confidence calibration to align predictions with accuracy
- ✓Federated RL training on customer premises
Intelligence Bus v3.0
- ✓Multi-path orchestration for complex predictions
- ✓Adaptive expert routing based on query context
- ✓Extended reasoning traces for explainability
- ✓800+ event types with cross-platform coordination and Sentinel safety integration
Sentinel Safety OS
5-level runtime safety stack with 200 dedicated safety events, ensuring every AI action is validated, audited, and compliant.
Gateway Shield
Input validation, PII detection, action firewall, output sanitization
Safety Bus
Real-time safety event routing with 200+ sentinel event types
Risk Brain
Threat scoring, autonomy control, risk-based decision escalation
Audit Recorder
Immutable compliance log, cryptographic audit trail (HAL CryptoCore)
Compliance Engine
EU AI Act, GDPR, SOX, DORA enforcement and certification
Compliance Frameworks Supported
BrainBrowser
6-layer content verification pipeline that scores every piece of external information before it enters your AI ecosystem. Output: BrainScore™ (0-100 trust rating per content item).
Source Verification
Domain authority scoring, publisher credibility, source chain validation
Factuality Check
Cross-reference against verified knowledge bases and real-time data
AI Contamination Detection
Identify AI-generated content, deepfakes, and synthetic media
Temporal Validation
Verify recency, detect outdated information, temporal consistency
Cross-Reference Verification
Multi-source corroboration, consensus scoring across sources
Regulatory Compliance
EU AI Act content requirements, GDPR data provenance checks
0-100 trust rating for every content item — so your AI models only learn from verified, high-integrity data.
OTTO
Your Multi-Modal AI Terminal
Text, voice, and visual inputs — one terminal to command all 454 AI models. OTTO proposes actions, stages them for review, and executes only with your approval.
- 🧠PersonaPlex 7B: 7 billion parameter conversational AI with 6 personas for contextual interactions across all 17 platforms
- 🎤Multi-Modal Input: Text, voice (Whisper (100% local)), and document upload — interact in 30+ languages
- ⚡Propose & Stage: OTTO drafts actions with full reasoning traces, stages them in your CxO Control Room, and waits for human approval before execution
- 🔒100% On-Premise: Zero-knowledge architecture with AES-256 encryption — no cloud dependency
OTTO + PersonaPlex 7B
On-Premise Tactical Task Orchestrator
Propose & Stage Workflow
454 Total AI Models Across 17 Platforms
Each platform has its own specialized AI models tailored to specific business domains, all coordinated through the Intelligence Bus
Commerce Models
BrainPredict Commerce
- • Demand Forecasting AI
- • Dynamic Pricing Optimizer
- • Inventory Management AI
- • Customer Segmentation
- • Product Recommendation Engine
- • Fraud Detection AI
- • + 14 more specialized models
Supply Models
BrainPredict Supply
- • Supply Chain Optimizer
- • Demand Planning AI
- • Supplier Risk Assessment
- • Logistics Optimization
- • Quality Prediction AI
- • Procurement Intelligence
- • + 16 more specialized models
People Models
BrainPredict People (CubAI)
- • Talent Acquisition AI
- • Performance Prediction
- • Attrition Risk Analysis
- • Skills Gap Analyzer
- • Compensation Optimizer
- • Employee Engagement AI
- • + 21 more specialized models
Sales Models
BrainPredict Sales
- • Lead Scoring AI
- • Deal Probability Predictor
- • Sales Forecasting
- • Territory Optimization
- • Next Best Action AI
- • Competitive Intelligence
- • + 20 more specialized models
Marketing Models
BrainPredict Marketing
- • Campaign Performance Predictor
- • Customer Acquisition Optimizer
- • Content Performance AI
- • Attribution Model AI
- • Churn Prevention AI
- • Personalization Engine
- • + 20 more specialized models
Legal Models
BrainPredict Legal
- • Contract Analysis AI
- • Compliance Monitor
- • Litigation Risk Predictor
- • Regulatory Intelligence
- • IP Protection AI
- • Legal Research Assistant
- • + 25 more specialized models
Risk Models
BrainPredict Risk
- • Cyber Risk Intelligence
- • Financial Risk Predictor
- • Operational Risk Analyzer
- • Compliance Risk Monitor
- • Strategic Risk Advisor
- • ESG Risk Analyzer
- • + 19 more specialized models
Finance Models
BrainPredict Finance
- • GL Automation AI
- • Cash Flow Forecaster
- • AP/AR Intelligence
- • Budget Optimizer
- • Revenue Recognition AI
- • Financial Close Accelerator
- • + 29 more specialized models
Innovation Models
BrainPredict Innovation
- • Idea Scoring AI
- • Patent Analysis
- • Market Opportunity Finder
- • R&D Portfolio Optimizer
- • Innovation Trend Predictor
- • Technology Readiness Assessor
- • + 22 more specialized models
Controlling Models
BrainPredict Controlling
- • KPI Monitor AI
- • Variance Analysis
- • Cost Intelligence
- • Performance Predictor
- • Planning Optimizer
- • Profitability Analyzer
- • + 26 more specialized models
Communications Models
BrainPredict Communications
- • Truth Verification AI
- • Brand Monitor
- • Message Optimizer
- • Crisis Predictor
- • Stakeholder Analyzer
- • Reputation Intelligence
- • + 24 more specialized models
Data Models
BrainPredict Data
- • Data Quality Scorer
- • PII Detector
- • Data Anonymizer
- • AI Readiness Assessor
- • Duplicate Detector
- • Data Profiler
- • + 23 more specialized models
Strategy, Sourcing, Operations, Customer Models
BrainPredict Strategy, Sourcing, Operations, Customer
- • Strategic Planning AI
- • Competitive Intelligence
- • Market Opportunity Analyzer
- • Business Model Optimizer
- • M&A Target Identifier
- • Portfolio Strategy, Sourcing, Operations, Customer Advisor
- • + 22 more specialized models
Total AI Models
Across All Platforms
How Platform Models Work Together
Each platform's AI models are specialized for their domain, but they share insights through the Intelligence Bus. For example, Commerce models can inform Marketing campaigns, Supply models can optimize Sales forecasts, Strategy, Sourcing, Operations, Customer models can guide long-term planning, and People models can enhance customer service quality.
Learn more about cross-platform intelligenceIntelligence Bus Architecture
The central coordination layer that orchestrates all 454 AI Models across 17 Platforms for optimal performance and cross-platform intelligence sharing
How It Works
Request Reception
Intelligence Bus receives incoming requests and analyzes requirements
Model Selection
Determines which AI models are needed and in what sequence
Orchestration
Coordinates model execution, manages data flow, and handles dependencies
Optimization
Monitors performance, balances workload, and optimizes resource allocation
Response Delivery
Aggregates results from all models and delivers unified response
Key Benefits
Intelligent Orchestration
Automatically coordinates multiple AI models for complex tasks
Performance Optimization
Real-time monitoring and optimization of model performance
Cross-Model Learning
Enables models to learn from each other and improve over time
Fault Tolerance
Automatic failover and recovery for uninterrupted service
Technical Specifications
Phase 4.5: Predictive Intelligence Engine
9-model ensemble AI that predicts business events before they happen with 94-97% accuracy
Prediction Types
Across All 17 Platforms
- • Demand spikes & inventory shortages
- • Employee turnover & burnout
- • Deal closures & pipeline risks
- • Campaign failures & budget overruns
- • Compliance violations & litigation
- • Fraud patterns & security breaches
- • + 144 more prediction types
AI Models
Ensemble Architecture
- • LSTM (20% weight)
- • ARIMA (10% weight)
- • Prophet (10% weight)
- • NeuralProphet (14% weight)
- • NeuralProphet AR (12% weight)
- • XGBoost (14% weight)
- • Random Forest (10% weight)
- • Extra Trees (8% weight)
- • Gradient Boosting (2% weight)
Time Horizons
Multi-Step Predictions
- • 1 Day (immediate actions)
- • 7 Days (weekly planning)
- • 30 Days (monthly planning)
- • 90 Days (quarterly planning)
- • 180 Days (semi-annual planning)
- • 365 Days (annual planning)
Advanced Features
Truth Verification
Random Forest classifier validates predictions
Prediction Intervals
95% confidence bands for uncertainty quantification
Multi-Step Ahead
Predictions for 6 different time horizons
94-97% Accuracy
Ensemble voting for superior predictions
Integrations
Intelligence Bus
All predictions published as Level 3 events
AI Calendar
Automatic scheduling of preventive actions
AI Orchestrator
BERT-powered intelligent coordination
Cross-Platform
Subscription-based filtering for all platforms
Enterprise-Grade System Architecture
Built for security, scalability, and compliance from the ground up
Two-Backend Deployment Architecture
Production Server
Hetzner Cloud (Germany)
Website Backend
Payments, subscriptions, 3 AI models
License API
License validation with mTLS
Frontend
Next.js website UI
Customer Premises
On-Premises Installation
Platform Backend
17 platforms, 20-454 AI models
Intelligence Bus
800+ cross-platform events
Customer Data
Never leaves premises
Data Sovereignty: Customer data stays on-premises. Only encrypted model updates sent to cloud for federated learning.
Security Features
- End-to-end encryption (AES-256)
- Multi-factor authentication (MFA)
- Role-based access control (RBAC)
- API key management and rotation
- Audit logging and monitoring
- DDoS protection and rate limiting
- Regular security audits and penetration testing
- Data anonymization and pseudonymization
Scalability
- Horizontal auto-scaling based on demand
- Load balancing across multiple regions
- CDN integration for global performance
- Database sharding and replication
- Caching layers (Redis, CDN)
- Microservices architecture
- Containerized deployment (Kubernetes)
- Support for millions of concurrent users
Technology Investment Roadmap
Our AI-driven R&D prioritization focuses on maximizing customer value and competitive differentiation
Model Accuracy
HighTraining Speed
MediumExplainability
HighMulti-language NLP
MediumComputer Vision
LowReinforcement Learning
LowCompliance Standards
Fully compliant with international data protection and AI regulations
AI Boards & Scenario War Rooms
Configurable intelligence dashboards and time-based scenario engines — powered by the Intelligence Bus and 454 AI models.
Configurable AI Boards
Drag-and-drop intelligence panels. Combine predictions, anomaly feeds, KPI trackers, and Intelligence Bus events into role-specific dashboards that update in real time.
Scenario War Rooms
Time-based scenario engines that let you model “what if” across platforms. Test budget changes, supply disruptions, market shifts, and workforce scenarios — all verified by BrainPredict-RL™.
The Enterprise AI Operating System Stack
Seven layers — from OTTO at the top to on-premises infrastructure at the base. Each layer is proprietary, verified, and deployed on your hardware.