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Standard Architecture · Included in Every Subscription

33 Components — One Architecture

Every BrainPredict subscription ships with the same 33-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.

33
Components
0
Add-On Charges
4
Capability Layers
100%
On-Premises

Why one architecture for everyone

The 33 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 33 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

9 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

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

Every platform you activate inherits these 33 components automatically. Pick your platforms, set your licence tier — the architecture is the same.