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Enterprise AI Operating System · MoE Architecture

152 Domain Experts
Multi-Path Reasoning

560 AI models + 152 MoE experts across 20 platforms. Verifier-based RL training delivers 94%+ verified accuracy.

560
AI Models
152
MoE Experts
2,288+
Event Types
94%+
Verified Accuracy
0%
Data to Cloud

Mixture-of-Experts Architecture

152 domain-specialized experts with intelligent routing for precise, context-aware predictions

152

Domain Experts

8 specialized experts per platform across 20 business domains. Each expert trained on specific prediction types.

Top-K

Sparse Activation

Only relevant experts process each query. Reduces compute by 80% while maintaining accuracy.

Multi-Path

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
  • 2,288+ event types with cross-platform coordination and Sentinel safety integration
Sentinel Safety OS · 5-Level Runtime Safety Stack

Sentinel Safety OS

5-level runtime safety stack with 200 dedicated safety events, ensuring every AI action is validated, audited, and compliant.

1

Gateway Shield

Input validation, PII detection, action firewall, output sanitization

2

Safety Bus

Real-time safety event routing with 200+ sentinel event types

3

Risk Brain

Threat scoring, autonomy control, risk-based decision escalation

4

Audit Recorder

Immutable compliance log, cryptographic audit trail (HAL CryptoCore)

5

Compliance Engine

EU AI Act, GDPR, SOX, DORA enforcement and certification

Compliance Frameworks Supported

EU AI ActGDPRSOXDORAHIPAAISO 27001
BrainBrowser · 6-Layer Content Verification

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).

1

Source Verification

Domain authority scoring, publisher credibility, source chain validation

2

Factuality Check

Cross-reference against verified knowledge bases and real-time data

3

AI Contamination Detection

Identify AI-generated content, deepfakes, and synthetic media

4

Temporal Validation

Verify recency, detect outdated information, temporal consistency

5

Cross-Reference Verification

Multi-source corroboration, consensus scoring across sources

6

Regulatory Compliance

EU AI Act content requirements, GDPR data provenance checks

BrainScore

0-100 trust rating for every content item — so your AI models only learn from verified, high-integrity data.

Multi-Modal AI Terminal · PersonaPlex 7B · BERT Super Intelligence

OTTO
Your Multi-Modal AI Terminal

Text, voice, and visual inputs — one terminal to command all 560 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 20 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

OTTO + PersonaPlex 7B

On-Premise Tactical Task Orchestrator

560
AI Models
7B
Parameters
6
AI Personas
30+
Languages

Propose & Stage Workflow

1
OTTO analyses data across platforms
2
Drafts action with reasoning trace
3
Stages in CxO Control Room for review
4
Human approves → OTTO executes via Intelligence Bus

560 Total AI Models Across 20 Platforms

Each platform has its own specialized AI models tailored to specific business domains, all coordinated through the Intelligence Bus

20

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
22

Supply Models

BrainPredict Supply

  • • Supply Chain Optimizer
  • • Demand Planning AI
  • • Supplier Risk Assessment
  • • Logistics Optimization
  • • Quality Prediction AI
  • • Procurement Intelligence
  • • + 16 more specialized models
27

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
26

Sales Models

BrainPredict Sales

  • • Lead Scoring AI
  • • Deal Probability Predictor
  • • Sales Forecasting
  • • Territory Optimization
  • • Next Best Action AI
  • • Competitive Intelligence
  • • + 20 more specialized models
26

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
31

Legal Models

BrainPredict Legal

  • • Contract Analysis AI
  • • Compliance Monitor
  • • Litigation Risk Predictor
  • • Regulatory Intelligence
  • • IP Protection AI
  • • Legal Research Assistant
  • • + 25 more specialized models
25

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
35

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
28

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
32

Controlling Models

BrainPredict Controlling

  • • KPI Monitor AI
  • • Variance Analysis
  • • Cost Intelligence
  • • Performance Predictor
  • • Planning Optimizer
  • • Profitability Analyzer
  • • + 26 more specialized models
30

Communications Models

BrainPredict Communications

  • • Truth Verification AI
  • • Brand Monitor
  • • Message Optimizer
  • • Crisis Predictor
  • • Stakeholder Analyzer
  • • Reputation Intelligence
  • • + 24 more specialized models
29

Data Models

BrainPredict Data

  • • Data Quality Scorer
  • • PII Detector
  • • Data Anonymizer
  • • AI Readiness Assessor
  • • Duplicate Detector
  • • Data Profiler
  • • + 23 more specialized models
28

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
560

Total AI Models

Across All Platforms

Platforms20
Connectors520
Intelligence Bus Events2,288+
Intelligence Bus

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 intelligence

Intelligence Bus Architecture

The central coordination layer that orchestrates all 560 AI Models across 20 Platforms for optimal performance and cross-platform intelligence sharing

How It Works

1

Request Reception

Intelligence Bus receives incoming requests and analyzes requirements

2

Model Selection

Determines which AI models are needed and in what sequence

3

Orchestration

Coordinates model execution, manages data flow, and handles dependencies

4

Optimization

Monitors performance, balances workload, and optimizes resource allocation

5

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

99.99%
Uptime SLA
< 10ms
Orchestration Latency
2,148
IB v10 Event Types
50
Cascade Patterns
60–80%
BrainCode
data compression
3–5×
ONNX Runtime
CPU speedup
90%
Conformal Prediction
guaranteed CI
10×
Arrow Ingestion
faster loading
3
Causal AI v2
causal methods
4
Compliance SaaS
frameworks

Phase 4.5: Predictive Intelligence Engine

9-model ensemble AI that predicts business events before they happen with 94-97% accuracy

150

Prediction Types

Across All 20 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
9

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)
6

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

v6.0.0 delivers 9 architectural innovations including ONNX Runtime, Stacking Meta-Learner, Conformal Prediction, LightGBM, TFT, River Online Learning, TabPFN Cold-Start, SHAP attribution, and Verifier reward loops — with 150+ prediction types across all 20 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

20 platforms, 20-560 AI models

Intelligence Bus

2,288+ 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
R&DPrioritizer AI (92.3% accuracy)

Technology Investment Roadmap

Our AI-driven R&D prioritization focuses on maximizing customer value and competitive differentiation

Model Accuracy

High
Current94-97%
Target96-98%
TimelineOngoing

Training Speed

Medium
CurrentHours
TargetMinutes
TimelineQ2 2026

Explainability

High
CurrentBasic
TargetAdvanced (SHAP, LIME)
TimelineQ2 2026

Multi-language NLP

Medium
Current5 languages
Target20 languages
TimelineQ3 2026

Computer Vision

Low
CurrentLimited
TargetFull suite
TimelineQ4 2026

Reinforcement Learning

Low
CurrentNone
TargetBasic
Timeline2027

Compliance Standards

Fully compliant with international data protection and AI regulations

GDPR
EU General Data Protection Regulation
Full compliance with data privacy and protection requirements
CCPA
California Consumer Privacy Act
Consumer data rights and privacy protection
SOC 2
Service Organization Control 2
Security, availability, and confidentiality controls
EU AI Act
European Union AI Regulation
Responsible AI development and deployment
Scenario Intelligence

AI Boards & Scenario War Rooms

Configurable intelligence dashboards and time-based scenario engines — powered by the Intelligence Bus and 560 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.

Live PredictionsKPI TrackersAnomaly FeedsCustom Layouts

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.

What-If AnalysisTime-Based ScenariosCross-Platform ImpactVerified Outcomes
March 2026 Architecture Advances

Six Engineering Breakthroughs — Shipped

Every capability runs on-premises. No cloud dependency. No data exposure. Full EU AI Act compliance out of the box.

BrainCode

AI-Native Data Compression

60–80% storage reduction

Tabular Autoencoder trained per customer dataset. Mathematically seals data, removes noise, and compresses without loss of predictive signal. Eliminates the need for large local servers.

Tabular AutoencoderNoise RemovalLossless SealingEU AI Act Art.17
ONNX Runtime

Inference Acceleration

3–5× CPU speedup · 4× RAM reduction

All BrainPredict models export to ONNX and run through a session pool with kernel fusion. Minimum server spec drops to 8 GB RAM — a 4× reduction. Directly reduces hardware investment for customers.

ONNX ExportKernel FusionSession Pool8 GB Min RAM
Conformal Prediction

Guaranteed Uncertainty Intervals

90% coverage · distribution-free

Wraps every prediction with a mathematically guaranteed confidence interval. No assumptions on data distribution. Required by EU AI Act Art.13 for High-Risk AI. No other enterprise AI platform ships this natively.

Calibrated IntervalsEU AI Act Art.13Distribution-FreeRAPS + CQR
Causal AI v2

True Causality — Not Correlation

Granger · PSM · DiD

Identifies what actually drives business outcomes. Granger causality for time series, Propensity Score Matching for observational data, Difference-in-Differences for policy impact. Surfaces causal levers the customer can pull.

Granger CausalityPSMDifference-in-DifferencesATE Estimator
Apache Arrow Ingestion

10× Faster Data Loading

>100 K rows/sec · zero-copy

Columnar in-memory format with zero-copy transfers between connectors and AI models. Automated quality checks report null rates, type consistency, and quality scores at ingestion time.

Columnar FormatZero-CopyQuality ScoringPyArrow 14+
Compliance SaaS

One-Click Regulatory Reports

EU AI Act · GDPR · NIS2 · ISO 42001

Generates cryptographically signed audit reports for every AI decision. SHA-3 + Dilithium-3 post-quantum signatures. One API call produces a compliance export ready for regulators — no other platform can do this.

PQC SignaturesGDPR Art.30 ROPAEU AI Act Art.12ISO 42001
AI OS Architecture

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.

Civilization Layer L6 (Constitution · Council · Decision Cards · Governance Proxy · OrgBrain v2 Digital Twin · EcosystemBrain v2 Federation)
AIIC — Autonomous Industrial Intelligence Cascade (20 handlers · <500ms p95 · Dilithium-3)
OTTO L4 Agentic Engine (Multi-step autonomous execution · Saga pattern · Constitutional Guard · 20-platform cross-domain)
Adversarial Robustness Layer (FGSM · Lipschitz bounds · EU AI Act Art.15 evidence per inference)
Sentinel Certification Layer (ISO 42001 AIMS · EU AI Act Art.9/13/14/15/17 · TÜV SÜD readiness)
BrainPredict Federation Protocol (k-anonymous DP · Kyber-768 gradient exchange · network-effect model improvement)
Causal Intelligence Bus v10 (PC-algorithm causal DAG · causal attribution per IB event · 2,186+ typed events)
BrainPredict Automation — Plain-Language Code Writer (IEC 61131-3 · SLM v2 13B · 5-Gate pipeline)
BrainPredict Club v2 (28 Models — 6 domains: Tactical · Health · Transfer · Fan/Commercial · Financial · Matchday)
25 Industry Vertical Solutions (pre-configured platform bundles — v11)
OTTO (Multi-Modal AI Terminal — 19 Components · 133 Query Types · 4 Autonomy Levels)
BrainBrowser (6-Layer Content Verification)
CxO Control Rooms (7 Executive Dashboards)
Sentinel Safety OS (5-Level Runtime Safety · 295 Safety Events + ARL)
Intelligence Bus v10-Causal (2,288 Event Types · 35+ Domains · Live Causal DAG · +66 Smart City v2026.35)
MoE Router (152 Domain Experts · Sparse 8/152 Activation · Platform #20 Smart City Added v2026.35)
AI Orchestrator (Raphael Engine)
7-Model Adaptive Ensemble (XGBoost · LightGBM · LSTM · Prophet · ARIMA · RF · TFT) + Stacking Ridge Meta-Learner + SHAP XAPI + River Online Learning + TabPFN Cold-Start + ONNX Runtime — auto-calibrated conformal prediction on every inference
20 Domain Platforms (560 Models · Platform #20 BrainPredict Smart City · v2026.35)
AI Readiness Fabric (520 Connectors · 25 Categories)
On-Premises Infrastructure (Zero-Knowledge · HAL CryptoCore · Kyber-768 + Dilithium-3 PQC)