Multi-Model AI
Architecture
445 specialized AI models across 16 Platforms coordinated through our proprietary Intelligence Bus to deliver superior business intelligence
445 Total AI Models Across 16 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 445 AI Models across 16 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 16 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
16 platforms, 20-445 AI models
Intelligence Bus
570 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