DF
Multi-Source Data Fusion
Ingest or federate enterprise systems, operational telemetry, documents, APIs, geospatial data, OSINT and authorized external intelligence.
Intelligence • Data Fusion • Analytics • Decision Advantage
Integrated Intelligence Data Analytics — turn fragmented data and signals into decision advantage.
A governed intelligence data analytics solution that fuses enterprise, operational, external, narrative, cyber, geospatial and other authorized data into a common ontology and intelligence graph for investigation, analytics, command-center visibility and evidence-based decision support.
Integrated intelligence model
Represent the real world as a governed intelligence picture
Model people, organizations, assets, events, infrastructure, narratives and relationships as governed objects so multiple data domains can be correlated without losing source provenance, permissions or context.
Example intelligence object model: Person → Organization → Account → Device → Vehicle → Location → Transaction → Communication → Event → Asset → Narrative → Case. Relationships, time, location, provenance, confidence and permissions remain first-class context.
Integrated intelligence scope
One solution from data fusion to decision advantage
Combine structured and unstructured enterprise data with authorized external, cyber, narrative and geospatial signals in one governed analytical operating model.
KG
Ontology & Intelligence Graph
Resolve entities and relationships into a semantic graph with temporal, spatial, evidentiary and confidence context.
XA
Cross-Domain Analytics
Correlate operational, cyber, digital-risk, narrative, corporate, supply-chain and geopolitical signals across shared entities and events.
AI
AI-Assisted Intelligence
Use evidence-grounded RAG, analyst copilots, anomaly detection, hypothesis support and governed agentic workflows over authorized sources.
CC
Investigation & Command Workflows
Support cases, watchlists, alerts, executive briefs, command-center views, collaboration and controlled operational actions.
GV
Governance & Provenance
Apply classification, RBAC/ABAC, purpose-aware access, lineage, audit trails, analyst confidence and human review for consequential decisions.
Platform capability model
From source data to operational decisions
A modular architecture supports investigation, decision intelligence and controlled operational workflows.
DF
Data Fusion Engine
Ingest or federate structured, unstructured, streaming, document, API, IoT, geospatial and authorized external data.
ER
Entity Resolution
Identity matching, duplicate resolution, fuzzy matching and confidence-scored relationship discovery.
KG
Knowledge Graph
Entity relationships, link analysis, graph traversal, temporal links, communities and path analysis.
GS
Geospatial Intelligence
Map layers, movement analysis, geofencing, spatial clustering, route and proximity analysis.
TM
Temporal Intelligence
Event timelines, sequence analysis, historical reconstruction, anomalies and recurring patterns.
IW
Investigation Workspace
Case management, evidence collection, analyst notes, hypotheses, watchlists, tasks and collaboration.
AI
AI Intelligence Assistant
Natural-language investigation, evidence-grounded RAG, entity summaries, relationship explanation and report drafting.
DI
Decision Intelligence
Scenario analysis, prioritization, recommended actions, workflow orchestration and approval-based decision support.
AC
Controlled Actions
Governed actions and writeback to authorized systems through approvals, policy checks and complete audit trails.
PV
Provenance & Lineage
Trace every output back to source, transformation, model version, analyst action and evidence confidence.
SC
Security Controls
Classification, RBAC/ABAC, purpose-aware rules, field/object restrictions, encryption, audit and tenant isolation.
OP
Operational Applications
Domain-specific dashboards and workflows for analysts, operators, executives and field teams.
Cross-domain fusion model
One intelligence graph, multiple decision contexts
Preserve source evidence and permissions while connecting entities, events, infrastructure, narratives and operational data.
Sources
Enterprise systems • OSINT • threat intelligence • narrative sources • geospatial • telemetry • digital risk signals
Fusion
Entity resolution • ontology • knowledge graph • narrative graph • temporal and geospatial correlation
Analytics
Link analysis • anomaly detection • risk scoring • forecasting • AI/ML • scenario analysis
Decision
Case workspaces • alerts • executive briefs • command-center views • controlled action workflows
Feedback
Analyst validation • outcome capture • model tuning • intelligence requirements • continuous monitoring
Decision outcomes
What Integrated Intelligence Data Analytics enables
Designed for teams that need a decision-grade picture rather than another isolated dashboard.
Enterprise risk
- Cross-domain risk correlation
- Executive and board intelligence
- Crisis early warning
- Operational decision support
Security & cyber
- Threat actor and infrastructure correlation
- Digital-risk discovery into SOC workflows
- Incident narrative intelligence
- Attack-campaign analysis
Strategic intelligence
- Geopolitical and country risk
- Supply-chain exposure
- Corporate and counterparty intelligence
- National / strategic intelligence use cases
Governance
- Source provenance
- Classification and purpose-aware access
- Analyst confidence and review
- Audit trail and controlled actions
Reference architecture
Operational intelligence architecture
Connect source systems to a semantic decision layer without removing the authority of underlying systems of record.
Enterprise & external sources
Databases • APIs • documents • logs • telemetry • geospatial • OSINT • threat intelligence • business systems
Data fabric
Connectors • federation • pipelines • schema mapping • quality controls • metadata • streaming
Ontology & intelligence graph
Objects • relationships • events • geospatial/time properties • entity resolution • source provenance
Analytics & AI
Graph analytics • ML • anomaly detection • scenario analysis • RAG • AI assistants • agentic workflows
Operational applications
Investigations • command centers • dashboards • cases • alerts • watchlists • controlled actions
Security & governance
Identity • classification • purpose • retention • encryption • approvals • audit • lineage • human accountability
Solution packs
One solution, multiple intelligence missions
Reusable ontology, analytics and workflow patterns create faster entry points for domain-specific intelligence deployments.
AML
AML & Financial Crime
Entity, transaction, beneficial-ownership and suspicious-network intelligence.
Explore pack →
FR
Fraud Intelligence
Identity, device, account and coordinated fraud-network analysis.
Explore pack →
CTI
Cyber Threat Intelligence
Threat actors, domains, IPs, malware, campaigns and infrastructure relationships.
Explore pack →
CI
Corporate Intelligence
Companies, directors, ownership, affiliations, events and due-diligence intelligence.
Explore pack →
SC
Supply Chain Intelligence
Suppliers, routes, facilities, dependencies and geopolitical exposure.
Explore pack →
NS
National / Strategic Intelligence
Authorized multi-source intelligence, geospatial context, actor/event analysis and strategic decision support.
Explore pack →
Intelligence fusion
Connect Integrated Intelligence Data Analytics and IntegraNarrative
Narrative signals become more useful when enriched with enterprise entities, organizations, infrastructure, locations, behaviors and historical events.
IntegraNarrativeNarrative • influencer • cohort • amplification
→
Integrated analytics enrichmentOrganization • domain • infrastructure • location • event • relationship
→
Unified intelligence graphEvidence • context • risk • decision support
Principle: correlation does not equal attribution. Analyst confidence, source provenance and review remain mandatory for consequential decisions.
Deployment & sovereignty
Enterprise deployment choices
Architecture is selected according to source sensitivity, regulatory obligations, operational criticality and client control requirements.
Deployment
- SaaS where appropriate
- Private cloud
- On-premise
- Hybrid / federated
- Air-gapped for qualifying environments
Security by design
- Zero Trust and strong IAM
- RBAC / ABAC / purpose-aware access
- Encryption and secrets management
- Immutable audit and data lineage
- SIEM / monitoring integration
Delivery model
Build around decisions, not dashboards
Start from decision workflows and intelligence requirements, then configure data, ontology, analytics and applications around them.
AssessMap decisions, entities, users, sources, risks and governance requirements.
DesignDefine ontology, access model, integration, analytics and operational applications.
ImplementConnect sources, resolve entities, build graphs, models, cases and action workflows.
OperateMonitor data quality, intelligence outcomes, model behavior, access and continuous improvement.