Xplore Intelligence — Graph Digital Twins Platform
Enterprise Digital Twin Platform

Digital Twins That Think

We build living digital replicas of real and virtual objects — people, cargo, processes, organizations. Monitor, analyze, and predict with full traceability and explainability.

100% Provenance & Traceability
Any Data Source
Full Explainability
Explore the platform

Digital twins for monitoring, analysis and prediction

We transform any data into objects and relationships, creating precise digital replicas for real-time monitoring and advanced analytics across industries.

Predictive Analytics

Forecast outcomes before they happen. Our graph neural networks analyze relationship patterns to predict risks, interactions, and future states.

Predict risks, outcomes, and interactions before they occur

Relationship Intelligence

Discover hidden connections across entities. Map dependencies, detect anomalies, and understand how changes cascade through your network.

Discover connections invisible to traditional systems

What-If Scenarios

Simulate changes before implementing them. Test interventions, model disruptions, and optimize strategies on your digital twin.

Simulate impact of decisions before you make them

Powerful twin collection & analysis

Our platform uses intelligent agents to connect to any data source, extract entities and relationships, and build precise digital twins with custom ontologies.

01

Agent-Based Collection

Intelligent agents connect to databases, documents, APIs, OSINT tools, and specialized repositories — automatically extracting and linking entities.

02

Custom Ontologies

Domain-specific schemas ensure maximum precision. Model exactly what matters for your processes, objects, and industry requirements.

03

Deduplication & Versioning

ML-powered entity resolution with confidence scores. Temporal versioning tracks every change. See the twin evolve over time.

04

Full Provenance

Every data point, every prediction, every insight traces back to source. Complete audit trail with signed evidence chains.

Twin Query Engine
query.xpl
// Analyze entity with full provenance
MATCH (e:Entity {id: "E-2847"})
  -[:CONNECTED_TO]->(related)
  -[:FROM_SOURCE]->(s:Source)

PREDICT e.risk_score
  WITH confidence: true,
       explain: true

RETURN {
  entity: e,
  connections: collect(related),
  provenance: trace(e),
  prediction: _result
}

From raw data to living digital twins

1

Deploy Agents

Our intelligent agents connect to your data sources — databases, documents, APIs, OSINT tools, specialized storage. They extract entities and relationships automatically.

Databases Documents APIs OSINT Files Registries
2

Build Twins

Extracted data becomes objects and relationships. Custom ontologies ensure precision. Deduplication and versioning maintain a single source of truth.

Entity Resolution Deduplication Versioning Custom Ontologies
3

Monitor & Analyze

Real-time monitoring of your twins. Predictive analytics, risk scoring, relationship analysis, and what-if scenarios — all with full explainability.

Predictive Risk Analysis What-If Alerts
4

Trace & Explain

Every insight comes with provenance. Trace any prediction, any data point, any decision back to its source. Full audit trail for compliance.

✓ Full provenance ✓ Explainable predictions ✓ Audit compliance

What the platform enables

Risk Prediction

Identify risks before they materialize. Our models analyze relationship patterns, historical data, and external signals to score and predict threats.

  • Multi-factor risk scoring
  • Cascade impact analysis
  • Early warning alerts

Relationship Analysis

Map complex relationship networks. Discover hidden connections, beneficial ownership, supply chain dependencies, and influence patterns.

  • Network topology analysis
  • Influence propagation
  • Hidden link discovery

Interaction Prediction

Predict future connections and behaviors. Forecast which entities will interact, what outcomes will occur, and when events will happen.

  • Link prediction models
  • Behavioral forecasting
  • Probability calibration

What-If Scenarios

Simulate changes on your digital twin. Test interventions, model disruptions, evaluate strategies before implementing in the real world.

  • Scenario simulation
  • Impact quantification
  • Decision optimization

Enterprise-grade explainability

In regulated industries and mission-critical applications, you can't use black boxes. Every prediction, every risk score, every recommendation must be traceable and explainable.

Full provenance: trace any data point to its original source
Explainable predictions: understand why models reach conclusions
Audit-ready: complete evidence chains for regulators
Flexible deployment: on-premise, private cloud, air-gapped
Market Traction
TRL-6

Business Intelligence

Commercial pilots and paying customers

TRL-4

Border Control

Validation with Napier University & Interface Scotland

TRL-2

Healthcare Digital Twins

Research partnerships forming

Ready to see your data connected?

Schedule a demo with our team. We'll show you how Xplore transforms your specific data challenges into graph-powered intelligence.

Or email us directly at contact@xploreintelligence.co.uk

Interface
Edinburgh Napier University
ScotlandIS
Catalyst
Breakthrough Founders
UKDSE Export Faculty