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Standard Architecture · Included in Every Subscription

47 Components — One Architecture

Every BrainPredict subscription ships with the same 47-component standard architecture. Whichever platforms you activate, the foundation underneath is identical: the Intelligence Bus, MoE Router, OTTO, Sentinel, BrainBrowser, AI Calendar, governance, learning, verification and post-quantum security.No add-on fees. No tier gating. Same architecture for everyone — Starter to Custom.

47
Components
0
Add-On Charges
4
Capability Layers
100%
On-Premises

Why one architecture for everyone

The 47 components below are not features — they are the operating system. Every platform core class integrates with every component, which is why a Sales prediction can trigger a Supply re-plan, why every output is verified by Sentinel and BrainBrowser, and why governance, learning and post-quantum security are uniform across the estate. Source of truth: BRAINPREDICT_ARCHITECTURE_BIBLE.md.

Uniform integration
Every platform inherits the same base class — same events, same verification, same audit trail.
No tier gating
Starter, Professional, Enterprise and Custom subscriptions all run the identical 33 components.
Single source of truth
BRAINPREDICT_ARCHITECTURE_BIBLE.md is the canonical specification — versioned and audited.

The 47 components

Grouped into four capability layers. Component numbers map to the canonical order in the Architecture Bible.

Layer

Foundation & Data

8 components
1

Intelligence Bus v12

The nervous system of BrainPredict. Routes event types across cascade patterns in real time. Every activated model communicates with every other, enabling cross-domain intelligence.

Parameters
2,302 event types · 62 cascade patterns
Platform integration
Every platform core inherits IBModelPublisher → auto-publishes typed IB events + conformal intervals
2

MoE Router (Raphael Engine)

For every query, activates the 8 most relevant domain experts, aggregates via consensus, delivers a verified confidence-scored response.

Parameters
168 experts · 8 per platform · 21 platforms · Top-K sparse (k=8) · 80% compute reduction
Platform integration
Each platform registered in PLATFORM_EXPERTS dict with 8 ExpertConfig entries
10

BrainCode™ Data Compression

Guarantees data integrity end-to-end across the Intelligence Bus.

Parameters
60–80% data footprint reduction · HMAC-SHA256 cryptographic sealing
Platform integration
IB events are BrainCode-compressed before transport; platform data payloads reference compression
11

ONNX Runtime

Edge-ready inference without GPU dependency across all 602 models.

Parameters
3–5× CPU speedup · 4× RAM reduction · edge-ready inference without GPU
Platform integration
Platform model inference uses ONNX accelerated path where available
14

Apache Arrow Ingestion

High-throughput columnar data ingestion across all platform feature pipelines.

Parameters
10× faster data loading · 50% memory reduction across all pipelines
Platform integration
Platform data ingestion uses Arrow columnar format for feature pipelines
19

Neural RAG (Company Brain)

On-premise Retrieval-Augmented Generation. OTTO answers from verified company knowledge, not hallucinated content.

Parameters
ChromaDB on-premise · indexes all internal documents, reports, knowledge bases
Platform integration
Platform context queries route through RAG before OTTO response generation
24

Data Quality Gateway

Real-time schema validation, anomaly detection and lineage tracking at every ingestion point.

Parameters
Real-time schema validation · anomaly detection · lineage tracking
Platform integration
Platform ingestion passes through DQG; malformed data quarantined before reaching models
32

Customer Connector Framework

Auto-discovery engine scanning customer systems across 25 categories. Customer-specific connectors activated per offer.

Parameters
Auto-discovery engine · 25 categories · 551 connectors total
Platform integration
Platform has declared connectors in the connector registry; auto-discovery maps required integrations
Layer

AI Assistants & Reasoning

7 components
3

OTTO AI Assistant

Dual-model conversational AI. Single interface to all activated models — voice and text, in the user’s language, across all business domains.

Parameters
PersonaPlex 7B + SLM v2 13B · 6 personas · 30+ languages
Platform integration
OTTO adapter brainpredict_adapter.py references all 21 platforms by name
13

Causal AI v2

Moves beyond correlation to causation — telling decision-makers not just what will happen but why.

Parameters
Granger causality · Propensity Score Matching · Difference-in-Differences
Platform integration
Platform output must include causal_drivers list (top causal factors)
20

Executive Pulse

Daily C-suite intelligence digest. Synthesises signals from all activated models into a single ranked brief before the first meeting of the day.

Parameters
Daily ranked digest · anomaly flags · pre-meeting brief
Platform integration
Platform publishes daily ranked signal to Executive Pulse digest; anomalies flagged
21

AI Council Consensus Mode

EU AI Act Art. 14 human-oversight layer. High-stakes decisions escalated to structured AI Council deliberation — cryptographically signed and stored on immutable AuditChain.

Parameters
EU AI Act Art. 14 human-oversight · cryptographically signed rationale · AuditChain
Platform integration
High-stakes platform predictions escalated to AI Council; rationale cryptographically signed
23

Business Impact Cascade

Any AI signal fans out to all 21 platforms in <500ms — one insight, coordinated action across all domains.

Parameters
62 cascade patterns · 21-platform fan-out · <500ms
Platform integration
Platform has AIIC handler in aiic/platform_handlers/; every prediction fans out to all 21 platforms
26

Digital Twin OS

6-layer enterprise digital twin. Powers what-if simulation and predictive scenario planning across all activated models.

Parameters
6 layers: people · processes · assets · external environment · simulation · prediction
Platform integration
Platform publishes state updates to Digital Twin; what-if scenarios use platform models
31

OTTO L5 Swarm

For high-stakes decisions, OTTO convenes a swarm that debates, cross-checks and reaches consensus before presenting a recommendation.

Parameters
8 agents · Byzantine fault-tolerant consensus
Platform integration
High-stakes platform predictions escalated to L5 Swarm; 8 specialist agents debate and reach consensus
Layer

Trust, Verification & Continuous Learning

9 components
4

Sentinel Safety OS

5-layer AI safety OS. Every model output passes through Sentinel before reaching the user — bias detection, hallucination filtering, regulatory compliance, full audit trail.

Parameters
5 layers: Gateway · Safety Bus · Risk Brain · HAL Recorder · Compliance Studio
Platform integration
Platform output must include sentinel_layer field (L1–L5 hash)
5

BrainBrowser

6-layer AI output verification. Cross-source validation, statistical coherence, semantic consistency, temporal stability, source credibility — computes a BrainScore for every AI response.

Parameters
6 verification layers · BrainScore™ avg 92.5%
Platform integration
Platform output must include brainbrowser_score (float 0–1)
8

BrainPredict-RL

Reinforcement learning layer that continuously improves all activated models from observed outcomes. The system gets smarter with every use.

Parameters
Reward shaper · outcome verifier · continuous improvement loop
Platform integration
Platform outcome verification feeds RL reward signal via verifier/outcome_verifier.py
9

Truth Verifier

4-layer output verification. Ensures every AI output is grounded in fact before it reaches a decision-maker.

Parameters
4 layers: statistical coherence · semantic consistency · cross-source validation · temporal stability
Platform integration
Platform output must include truth_verifier_score (float 0–1)
12

Conformal Prediction

90%-guaranteed confidence intervals on every prediction. EU AI Act Article 13 transparency obligation — satisfied by design.

Parameters
Distribution-free 90%-guaranteed confidence intervals · EU AI Act Art.13 compliant
Platform integration
Automatically provided by IBModelPublisher.publish_with_conformal() — output includes conformal_lower, conformal_upper
16

FastLearningEngine

Absorbs new data in <42s without full retraining. Every Intelligence Bus event can trigger a model update.

Parameters
River-based online learning · warm-start transfer · <42s model update without full retraining
Platform integration
Every IB event can trigger a platform model micro-update via FastLearningEngine
17

Federated Learning

Privacy-preserving distributed learning. Models improve from aggregated gradients — no raw data shared.

Parameters
FedAvg-DP · k-anonymity + differential privacy · opt-out supported
Platform integration
Platform models participate in federated training rounds; raw data never leaves customer perimeter
18

Federated Intelligence

Zero-knowledge collective learning layer enabling cross-organisation improvement.

Parameters
Zero-knowledge proofs · cross-organisation gradient aggregation
Platform integration
Cross-organisation model improvement via ZK proofs — no raw data, no identities revealed
33

BrainPredict Living Organism (BLO)

The self-evolving layer of BrainPredict. The platform gets smarter, more contextual and more autonomous over 6 phases without redeployment.

Parameters
6 phases: Seed · Grow · Learn · Adapt · Evolve · Transcend · on-premise
Platform integration
Platform participates in BLO lifecycle; predictions feed persistent learning loop
Layer

Compliance, Security & Operations

11 components
6

AI Calendar

Connects AI predictions to business calendars — budget cycles, board meetings, supply reviews, campaign launches — so insights arrive when they can be acted on.

Parameters
Multi-platform calendar orchestrator · 150 prediction types · 94–97% accuracy
Platform integration
Platform publishes IB events that AI Calendar subscribes to for scheduling
7

Civilization Layer

Governance and ethics framework. Encodes the organisation’s values, decision principles and regulatory constraints into every AI decision.

Parameters
7 sub-components: Constitution · Council · Decision Cards · Governance Proxy · OrgBrain · EcosystemBrain · Meta-BrainPredict
Platform integration
Platform predictions feed Decision Cards; governance proxy enforces constitutional constraints
15

Compliance SaaS

Continuous 23-regulation compliance monitoring — not a report, a live system.

Parameters
23 regulations: EU AI Act + GDPR + NIS2 + ISO/IEC 42001:2023
Platform integration
Platform activates compliance checks via Sentinel L4; compliance events published to IB
22

Automated Compliance Brief

Auto-generated 23-regulation compliance report, post-quantum signed.

Parameters
23 regulations · CRYSTALS-Dilithium-3-signed · EU AI Act Art. 9–83
Platform integration
Platform compliance status auto-included in monthly Compliance Brief generation
25

Cyber Ecosystem AIIC

18-model AI-in-the-loop cybersecurity ensemble. Detects, classifies and triggers coordinated cross-platform response in <3s.

Parameters
18 cyber models · coordinated response <3s · SIEM/EDR/firewall integration via IB
Platform integration
Every platform subscribes to AIIC cyber cascade events via IB
27

CIX Benchmarking

Live competitive intelligence benchmarks via zero-knowledge proofs. Your KPIs vs sector peers — without sharing any internal data.

Parameters
Cross-sector benchmarks via zero-knowledge proofs
Platform integration
Platform KPIs included in CIX cross-sector benchmarking via zero-knowledge proofs
28

EU AI Act Engine

Automated EU AI Act compliance from Art. 9 to Art. 83 — all auto-generated and signed by Sentinel.

Parameters
Art. 9–83 automated · risk classification · technical documentation · conformity assessment
Platform integration
Platform is auto-classified by EU AI Act risk tier; technical docs auto-generated
29

Post-Quantum Cryptography

Quantum-resistant by default — not an add-on. Every Intelligence Bus event is post-quantum secured.

Parameters
CRYSTALS-Kyber-768 (FIPS 203) · CRYSTALS-Dilithium-3 (FIPS 204) · 30-year quantum horizon
Platform integration
Every IB event published by platform is PQC-encrypted and Dilithium-signed
30

Homomorphic Encryption

CKKS homomorphic encryption. Selected computations run directly on encrypted data.

Parameters
CKKS scheme · analytics on encrypted data
Platform integration
Sensitive platform fields processed under homomorphic encryption; plaintext never exposed
34

BrainNet Messenger (BNM)

Post-quantum sovereign messaging layer. Every BrainPredict deployment ships BNM so operators, agents and AI councils communicate securely without US-cloud dependency. EU-sovereign, US-independent, on-premise. Breakthrough Innovation #17 — IP anchored in Bitcoin blocks #948764 + #948778.

Parameters
Kyber-768 (FIPS 203) · Dilithium-3 (FIPS 204) · PQXDH + Double Ratchet · BNP-Relay v1 · Desktop (Electron) + Mobile (React Native iOS/Android)
Platform integration
Platform sends operator alerts and inter-agent messages through BNM; Sentinel L1 safety gate on every inbound message; IB v12 routes safety events to BNM for human notification
35

KontA-IX Secure Compute Fabric

Zero-Tunnel compute-centric security fabric. Every user interaction = cryptographically auditable Secure Task routed by IA agents — no open ports, no VPN. Policy Engine scores every task. ZK audit proof. Covers BP-156..BP-170. Standard Component #35 — always on. May 24 2026.

Parameters
Secure Task DTO · Kyber-768 task envelope · Dilithium-3 task signing · Policy Engine · Security Audit Graph (Merkle) · ZK Compliance Verifier · Behavioral Biometric Profiler · Conformal Policy Intervals · BLO-phase policy evolution · Zero-Tunnel mode · <5ms overhead
Platform integration
Every platform declares kontaix_sensitivity_tier; outputs task_id + audit_node_hash; IB routes via route_secure_task(); connector calls = minimal-privilege Secure Tasks; OTTO sub-calls auditable; BrainBrowser external calls zero-PII; FL rounds policy-gated

Ready to build on the same architecture as the rest of the estate?

Every platform you activate inherits these 47 components automatically. Pick your platforms, set your licence tier — the architecture is the same.