Cognitive Trust Platform

Enterprise-grade governance, quality and semantic with blockchain-backed trust.

Architecture & Components

GoDataX CTP

Unifies data quality, governance, knowledge, and explainable AI into a single cognitive operating system where rules, semantics, and context are executable, auditable, and reusable by design.

Metadata-driven Audit-ready Scalable by design XAI-ready
GoDataX Metadata Knowledge Graph AI-ready Executable Governance Impact Analysis

A Unified Knowledge Graph for AI and Analytics

GoDataX Metadata consolidates technical, governance, and SPU metadata into a single enterprise Knowledge Graph. Instead of fragmented catalogs and static documentation, metadata becomes a living, connected model of reality that statistical models, LLMs, and agents can navigate. The result is trustworthy AI, context-aware analytics, and real-time governance with explicit relationships across assets, pipelines, controls, risks, metrics, domains, and business intent.

Enterprise Knowledge Graph foundation

Connect assets, pipelines, lineage, domains, metrics, controls, risks and evidence as nodes and relationships, making meaning and dependencies queryable at scale.

AI-ready contextual metadata

LLMs and models consume governed context (definitions, constraints, policies, criticality) instead of guessing from raw tables, reducing hallucination and improving accuracy.

Executable governance (not documentation)

Policies, checks, SLAs, evidence, issues and remediation become active graph entities, enabling continuous, auditable governance with clear accountability.

Real-time impact analysis

Instantly propagate changes across jobs, metrics, dashboards, models, risks and use cases, preventing incidents and reducing rework.

Better economics for data & AI

Cut operational overhead (manual analysis, audit effort, rework), reduce production failures, and accelerate AI adoption with trusted evidence, improving ROI across analytics and automation programs.

Built for agents and automation

Enable autonomous workflows and AI agents to select the right assets, apply the right policies, prioritize remediation, and operate safely within governed constraints.

Explore products
GoDataX Metadata
GoDataX Governance
Governance Executable Controls DAMA-DMBOK Native

Governance at Business Speed

GoDataX Governance transforms traditional data governance from static documents into an executable, metadata-driven control system. Policies, rules, ownership, and constraints are enforced directly inside data pipelines, analytics workflows, and XAI execution with full traceability and auditability. Governance becomes continuous, scalable, and aligned with real business operations.

  • Executable governance controls: policies, rules, approvals, and constraints enforced directly in pipelines and XAI workflows.
  • End-to-end traceability: full lineage across data, models, decisions, and XAI outcomes with auditable evidence.
  • Enterprise compliance by design: built-in support for LGPD, ISO, BCBS, SOX... and internal risk policies.

Time-to-value

Months, not years

Control

Audit-ready by default

Enablement

Trusted XAI & Monetization

Talk to us Learn more
GoDataX Assurance Evidence SLAs Lineage Automation

What makes GoDataX Assurance different?

GoDataX Assurance operationalizes Data Quality as a continuous, auditable execution layer inside your pipelines. Instead of running “one-off” checks, it turns rules, constraints, metrics, and SLAs into repeatable controls, generating evidence, traceability, and actionable signals for teams and stakeholders.

Executable quality rules

Define and run checks continuously (not manually), aligned with pipeline stages and critical datasets.

Automated metrics & thresholds

Track DQ indicators over time (completeness, validity, consistency, etc.) with thresholds and alerts.

Constraints at pipeline level

Enforce constraints where data is produced/consumed, reducing silent failures and downstream impact.

Auditable evidence & lineage

Produce execution evidence (runs, results, errors) plus technical metadata and end-to-end lineage.

SLA monitoring & breach detection

Monitor SLAs continuously and detect breaches early, with clear accountability and operational follow-up.

Native workflow integration (n8n / pipelines)

Connect quality execution to workflows for notifications, approvals, remediation tasks, and automation.

Explore products
Data Quality Dimensions
GoDataX SPU
SPU Semantic Governance Knowledge Graph RAG & Agents

GoDataX SPU (Semantic Processing Unit)

GoDataX SPU is the semantic and cognitive core that turns governed data into trusted intelligence. It transforms technical metadata + business knowledge into semantic assets (domains, glossary, narratives, ontology), persists them as an enterprise Knowledge Graph, and exposes XAI-ready Semantic APIs so LLMs and RAG consume meaning, context, and constraints, not raw tables. The SPU also provides an algorithmic asset registry (on-chain ready for private blockchain) to guarantee provenance, integrity, and end-to-end decision traceability.

XAI-ready semantic layer

Semantic APIs for RAG/LLMs with context, policies, and constraints embedded.

Enterprise Knowledge Graph

Domains, glossary, metrics, lineage and relationships, queryable and reusable at scale.

On-chain provenance

Algorithmic registry + proofs for assets, versions, and executions on private blockchain.

Explainable decisions

Governed KG + evidence trail enables explainable AI and audit-ready outcomes.

Explore products View services
RAG & XAI Agents n8n Orchestration Policy-driven Audit-ready

GoDataX Enterprise RAG-XAI Agents

GoDataX Agents are enterprise-grade XAI workflows orchestrated by n8n, grounded in trusted data and enforced by governance. Instead of “prompt-only” automation, the agent executes with quality evidence, policies & constraints, SPU semantics, knowledge graph context, and blockchain proofs enabling traceable decisions, compliant operations, and reliable outcomes across regulated environments.

Policy-driven RAG

Retrieval and actions are constrained by Governance rules (access, purpose, domain, sensitivity) not just prompts.

End-to-end traceability

Full lineage from prompt → data → rule → decision, with evidence, approvals, and audit-ready logs.

Trusted context (SPU + KG)

SPU semantic layer + Knowledge Graph reduce ambiguity and hallucinations with consistent business concepts.

Compliance & security

Multi-tenant orchestration with governance controls and optional blockchain proofs for tamper-evident trails.

Moderation Integration

When the integration is enabled in GoDataX CTP, content classification and control are performed in real time, allowing the process to be either blocked or allowed to proceed based on policy rules.

Moderation and classification by categories

Harassment, Harassment / Threatening, Hate, Hate / Threatening, Illicit, Illicit / Violent, Self-harm, Self-harm / Intent, Self-harm / Instructions, Sexual, Sexual / Minors, Violence.

Enterprise audit trail & evidence

Records decision evidence (category, score, applied action, policy version) to support compliance. Optionally integrates with immutable trails (e.g., blockchain proofs) to ensure tamper-evident accountability.

Commercial outcomes

Reduces reputational and legal risk, accelerates AI channel go-live, and standardizes content governance at scale, with clear SLAs and quality metrics by category and business unit.

Explore products
GoDataX RAG & XAI Agents Workflow
GoDataX Monetization
Monetization Forecasting ML Models Chat IA API

GoDataX Monetization

GoDataX Monetization converts trusted data into scalable business value by generating model-driven outputs (forecasts, anomalies, segments, scores and deep-learning signals) and exposing results through AI Chat or APIs ready to embed into pricing, growth, risk, and operational decisions.

Monetize model outputs

Create data products from forecasts, segments, and scores packaged as services, dashboards, or APIs.

Operationalize decisions

Embed results into workflows (pricing, churn, fraud, demand, inventory) with measurable ROI.

Chat IA + API ready

Deliver insights via governed Chat for users and via API/Webhook for systems and apps.

Enterprise governance

Combine quality + governance + evidence so models are trusted, explainable, and audit-ready.

Model Portfolio (Current + Next Options)

1️⃣ Statistical Forecast (baseline now)

Active
  • Outputs: forecasts, trends, seasonality, confidence bands.
  • Benefits: demand planning, budget accuracy, proactive operations.
  • Monetization: publish monthly/weekly forecast feeds via API and executive dashboards.

2️⃣ Anomaly Detection (forecast residuals)

  • Outputs: anomalies, root-cause candidates, alert severity.
  • Benefits: detect fraud/leakage, data issues, operational incidents early.
  • Monetization: alerting-as-a-service + SLA-driven incident triggers via webhook.

3️⃣ Clustering (behavior segmentation)

  • Outputs: segments, profiles, drivers, transition patterns.
  • Benefits: targeted offers, differentiated pricing, portfolio optimization.
  • Monetization: segment-based products (premium insights, market intelligence packs).

4️⃣ Supervised Models (classification / regression)

  • Outputs: propensity scores, risk scores, value predictions, ranking.
  • Benefits: churn prevention, upsell, credit/risk decisions, SLA optimization.
  • Monetization: scoring endpoints (real-time) consumed by CRM/ERP/apps via API.

5️⃣ Deep Learning (comparative / advanced patterns)

  • Outputs: embeddings, complex pattern detection, multivariate signals.
  • Benefits: higher accuracy on nonlinear behavior, complex interactions, edge cases.
  • Monetization: premium models (higher-value tier) + explainable summaries via Chat IA.

Delivery

Chat IA

Integration

api-webhook-blockchain

Outcome

Scalable value

Explore products View services
GoDataX Trust Ledger Private Blockchain Smart Contracts Audit Trail Evidence

Why a private blockchain inside the GoDataX ecosystem?

GoDataX Trust Ledger adds a private, enterprise-controlled blockchain layer to register data assets, record immutable evidence, and enforce governance rules through smart contracts. It creates a tamper-proof audit trail for assets, versions, approvals, and critical executions, enabling trust, compliance, and traceability by design.

Private network control

Run on a private network with controlled nodes, permissions, and enterprise security, no exposure to public chains.

Immutable audit trail

Evidence becomes tamper-proof: who changed what, when, why, and which pipeline/model produced the output.

Smart contracts for governance

Encode rules and approvals as smart contracts (policies, sign-offs, SLAs, critical thresholds, lifecycle states).

Proof of integrity (hashing)

Register hashes of datasets, reports, and model outputs to prove integrity without storing sensitive data on-chain.

Designed for compliance & disputes

Create defensible evidence for audits, regulators, and internal risk, reducing disputes and accelerating approvals.

Smart Contract Methods (Core APIs)

🧾 RegisterDataAsset

Registers a data asset on-chain with metadata pointers, hash proofs, owner, classification, and lifecycle state.

  • Result: immutable asset identity + provenance anchor.
  • Benefit: trusted registry for governance, quality, and monetization.

🔎 GetDataAsset

Retrieves the latest on-chain state of an asset: owner, version, status, proofs, and linked evidence references.

  • Result: real-time trust lookup for pipelines, AI, and users.
  • Benefit: faster decisions with verified information.

🧭 GetAuditDataAssets

Returns an auditable history for assets (events, versions, approvals, status changes, executions) with timestamps.

  • Result: end-to-end traceability across governance, quality, and AI outputs.
  • Benefit: audit-ready evidence + incident investigation in minutes.
Explore products
GoDataX Trust Ledger
GoDataX Strategic Discovery
Strategic Discovery Decision Engineering Data Product Canvas Monetization

GoDataX Strategic Discovery

GoDataX Strategic Discovery is an executive, decision-first engagement that turns strategy into governed data products, analytical/statistical models, and monetization-ready intelligence. It applies the GoDataX DT Toolkit with Data Product and Data Science workflows to populate GoDataX CTP metadata, align stakeholders, and accelerate activation from opportunity discovery to production decisions.

Engagement formats

A structured delivery model from discovery to monetization, with clear timelines and outcomes.

  • • Executive Discovery (2–4 weeks)
  • • Data Product Design Sprint (4–6 weeks)
  • • Monetization & Scale (6–12 weeks)

Strategy → governed execution

Converts business goals into executable data strategy with governance embedded by design.

  • • HMW portfolio & opportunity radar
  • • Policy → rules → controls approach
  • • Metadata-first delivery (GOV + Tech + SPU)

CTP roadmap (phases)

A complete GoDataX CTP roadmap that guides the implementation and ensures traceability.

  • • Discovery → Classification → Policy
  • • Rules → Metadata GOV → Business Rules
  • • Technical Metadata → Semantics → SPU
  • • Opportunities (Models / AI / Monetization)

Deliverables & value assets

Concrete artifacts ready to activate decision-making and unlock monetization.

  • • Data Product Canvas (approved)
  • • Data Science Workflow (validated)
  • • MVP model definitions + embedded rules
  • • APIs / Scores / Benchmarks + ROI dashboard
Explore products View services

Initial Setup

An end-to-end initial setup that transforms business strategy into executed data value combining strategic design, pipeline and model engineering, and the technical enablement of metadata, services, and APIs required to support GoDataX Components.

In-house execution +Guided execution (Enablement model)

Data-Driven Strategy & Value Engineering

From strategy to value: designing governed data pipelines and analytical models aligned with enterprise monetization goals.

Business Strategy High-Level
  • ✓ Strategic Discovery & Design Thinking
  • ✓ Value & Data Architecture Definition
  • ✓ Pipeline & Transformation Design
  • ✓ Analytical & Statistical Modeling (when applicable)
  • ✓ Governance & Monetization Enablement

Strategic Deliverables & Value Assets

Design thinking that turns strategy into governed data pipelines, analytical models, and monetizable data products.

Business Strategy High-Level
  • ✓ Business Canvas & Strategic Map & Value Proposition
  • ✓ Designed Data Pipelines (Silver / Gold Layer)
  • ✓ Designed Statistical and analytical models (Analytics ML Layer)
  • ✓ Formalized transformations and business rules
  • ✓ Designed Data products ready for monetization
  • ✓ Foundation for Quality, SPU, XAI, and continuous Governance
  • ✓ Defined Technical metadata model
  • ✓ Defined Governance metadata model
  • ✓ Defined SPU metadata model

Strategy-to-Value Execution

Connection to the data transformation layer for metadata extraction and preparation.

Technical Implementation Enablement
  • ✓ Connection Data Pipeline & Transformation Design
  • ✓ Connection Analytical & Statistical Model Enablement
  • ✓ Connection Data Product Design & Monetization Enablement
  • ✓ Connection XAI-Ready Semantic Layer - LLMs and RAG consume meaning, context and constraints, not raw tables
  • ✓ Foundation for Quality, SPU, XAI & Continuous Governance
  • ✓ Scope limited to one business domain, one dataset, and one end-to-end pipeline

Core Asset

The semantic and cognitive core that turns governed data into trusted intelligence.

Technical Implementation Enablement

Hosted by TWOData.ae or Self-hosted

  • ✓ Build the technical metadata model
  • ✓ Build the governance metadata model
  • ✓ Build the SPU metadata model
  • ✓ Develop DDL scripts for the metadata models
  • ✓ Develop DML scripts to populate the metadata models
  • ✓ Host and operate the metadata platform
  • ✓ Implement services, Unix environments, tools & APIs
  • ✓ Metadata services and integration APIs
  • ✓ Blockchain connectivity services and APIs
  • ✓ n8n services and integration APIs

* The initial setup is activated upon the acquisition of any of the four core GoDataX components: Quality, Governance, SPU or Agents.

GoDataX Compliance Matrix

The GoDataX model covers 100% of DAMA-DMBOK areas and goes beyond.
DAMA defines what to govern.
GoDataX defines how to execute, measure, and prove.

DAMA-DMBOK Coverage

DAMA Area Processes Covered
Data Governance Ownership, policies, decision rights, risk, executable governance, remediation
Data Architecture Logical & physical architecture, environments, flows, integration
Data Modeling & Design Conceptual & logical modeling, semantic relationships, asset mapping
Data Storage & Operations Execution, monitoring, backup/restore, operational evidence
Business Glossary & Dictionary Glossary terms, shared definitions, semantic alignment
Data Quality Quality rules, metrics, execution, exceptions, remediation
Data Security & Privacy Classification, purpose, consent, retention, DSAR, breaches
Data Warehousing & BI Metrics, KPIs, reporting, evidence-based decision support
Advanced Analytics & AI Model governance, risk, monitoring, auditability
Document & Content Management Evidence management, audit trail, traceability

Regulatory & Compliance Coverage

Area Regulation / Framework Country or Region
Privacy & Data ProtectionLGPDBrazil
Privacy & Data ProtectionGDPREurope (EU)
Privacy & Data ProtectionCCPA / CPRAUSA (California)
Privacy & Data ProtectionPDPLUnited Arab Emirates / GCC
Information SecurityISO 27001 / 27002Global
CybersecurityNIST CSFUSA / Global
Banking Risk DataBCBS 239Global
Financial ControlsSOXUSA
AI GovernanceISO 42001Global
AI RegulationEU AI ActEurope (EU)

Financial impact

GoDataX Cost Reduction & Efficiency Gains

Typical outcomes from governed metadata + quality execution + SPU semantics + audit-ready evidence.

Annual OPEX reduction

8–20%

Across data/analytics operations and governance overhead.

Payback window

9–18 months

From execution-driven controls and reuse at scale.

Decision protection

De-risked

Revenue-at-risk avoided by trusted metrics and definitions.

1

Operational Cost Reduction

15–30%

  • • Less rework, faster root cause, fewer manual reconciliations
  • • Reusable rules & controls across domains
  • • Reduced run failures and incident load
2

Compliance & Audit Cost Reduction

30–60%

  • • Automated evidence, immutable trails, audit-ready by design
  • • Policy → control → execution → proof traceability
  • • Fewer audit cycles, less manual documentation
3

AI & Advanced Analytics Optimization

20–40%

  • • Governed access + semantic RAG reduces waste
  • • Higher model reliability (less drift, fewer retries)
  • • Faster delivery with consistent definitions
4

Tooling & License Consolidation

10–25%

  • • Fewer overlapping platforms and redundant tooling
  • • Shared execution layer for controls and evidence
  • • Standardized operations and monitoring
5

Avoided Wrong Decisions

De-risked

Revenue at risk

  • • Consistent KPIs and definitions across the enterprise
  • • Trusted context at decision time (not post-mortem)
  • • Reduced pricing/forecast/investment errors

Greatest financial advantage of well-implemented metadata

Dramatically reduces the cost and risk of wrong decisions while accelerating correct decisions at lower marginal cost. Metadata turns decisions into assets, not bets.

Without

Decision as risk

Conflicting metrics, low trust, rework

With

Decision as asset

Reusable definitions, executable rules

With

Faster cycle time

Less meetings, faster approvals

With

Lower risk

Ownership, rules, automatic evidence

With

Data as capital

Products, chargeback, predictable AI ROI

Example scenario

€5M annual data/analytics spend → 15–25% savings (€750K–€1.25M)

Expected payback 9–15 months