Defence
From fragmented records to unified capability intelligence. Alchemia brings order to complex defence data environments where accuracy and speed of insight are mission-critical.
The defence data challenge
Defence organisations manage some of the most complex data environments in existence. Equipment records, supplier networks, personnel capability data, and operational intelligence are spread across legacy systems, classified enclaves, and paper archives. Often with no single authoritative source.
Inconsistent equipment and asset records
Platform specifications, maintenance histories, parts genealogies, and configuration data exist in disconnected legacy systems, spreadsheets, and programme offices with no unified view.
Fragmented battlefield intelligence
Sensor feeds, intelligence reports, logistics records, and operator inputs arrive from disparate sources in different formats and cadences. Assembling a single coherent knowledge view of the battlespace is a manual, time-lagged process.
Slow open source intelligence synthesis
Analysts manually monitor procurement portals, corporate registers, academic research, and open-source reporting to build threat and landscape pictures that are outdated before they're delivered.
Opaque supplier and supply chain networks
Multi-tier supplier relationships, sub-contractor dependencies, and single-source risks are invisible until they become procurement crises or programme delays.
The cost of data fragmentation
30-50%
Of analyst time spent locating and reconciling data rather than generating insight​
Hours
Delay in programme decisions caused by inability to get a single view of equipment statusus​
Thousands
Of entities needing to be disambiguated across the data landscape continuously everyday​
Manual
Processes that produce snapshots, not living intelligence​
Core use cases
Autonomous Battlespace Knowledge Graph
Knit together sensor feeds, intelligence reports, logistics records, and operator inputs into a single continuously updated knowledge view of the battlespace — without manual reconciliation.
The Challenge
A commander needs a coherent picture of the battlespace, but relevant data arrives from dozens of sources: sensor feeds in proprietary formats, intelligence reports in unstructured text, logistics status in separate supply systems, and operator situation reports filed at different cadences. Each source uses its own identifiers for units, locations, and assets. Fusing these into a common operating picture today requires human analysts working continuously — introducing latency and error at exactly the moment speed and accuracy matter most.
The Alchemia Solution
Alchemia continuously ingests all data streams and applies entity resolution to identify that the same unit, asset, or location is referenced differently across sources. Schema fusion normalises incompatible data formats without requiring upstream changes. A live knowledge graph maintains the relationships between forces, positions, capabilities, and events — updating autonomously as new data arrives. GraphRAG enables natural language queries across the fused picture: 'Which friendly units are within 10km of the reported contact, and what is their current logistics status?' — answered from a single unified graph rather than multiple manual lookups.
Key Benefits
Autonomous fusion of heterogeneous data streams without manual reconciliation
Continuously updated knowledge graph replacing time-lagged manual synthesis
Entity resolution linking units, assets, and locations across naming conventions
Natural language queries across the full battlespace picture
Equipment and Asset Master Data
Create a single authoritative view of every platform, system, and component — reconciling programme records, maintenance systems, and configuration baselines into a unified equipment knowledge graph.
The Challenge
A large defence programme manages thousands of platform variants across multiple generations. Specifications exist in the original design authority's system, modifications in a fleet management tool, maintenance records in a separate MRO system, and current configuration baselines in programme-office spreadsheets. No one can answer 'what is the current fitted configuration of this aircraft tail number?' without manually reconciling four systems — taking days and introducing error.
The Alchemia Solution
Alchemia fuses schema across all systems without requiring migration. Entity resolution identifies that the same component appears under different part numbers in the design authority and MRO systems. A metadata graph maps the relationships between platforms, configurations, components, and maintenance events. GraphRAG enables natural language queries: 'Which aircraft have the legacy radar fit and are due depth maintenance in the next 6 months?' — answered in seconds across a unified knowledge graph.
Key Benefits
Single authoritative view across all equipment systems
Configuration status queryable at any point in time
Entity resolution across part numbering and naming variations
Natural language queries replacing manual cross-system lookups
Supplier Network Intelligence
Map the full multi-tier supply chain — from prime contractors to sub-tier specialists — identifying concentration risks, sole-source dependencies, and geopolitical exposure before they become programme crises.
The Challenge
A defence procurement authority needs to assess supply chain resilience for a critical programme. They know their Tier 1 contractors but have no visibility of sub-tier dependencies. A key electronics component is sourced from a sole supplier — but this only becomes apparent when a geopolitical event disrupts supply. Risk assessments are based on information that is years old, drawn from supplier self-declarations rather than verified corporate intelligence.
The Alchemia Solution
Alchemia ingests procurement records, corporate registry data, Companies House filings, subsidiary relationships, and open-source corporate intelligence. Entity resolution identifies that 'Acme Electronics Ltd', 'Acme Electronics (UK)', and 'Acme Electronic Components' are the same legal entity with a common parent in a high-risk jurisdiction. The knowledge graph maps multi-tier dependencies, flags concentration risks, and continuously updates as corporate structures change. Queries like 'which of our Tier 1 suppliers have sub-tier dependencies in sanctioned jurisdictions?' become answerable.
Key Benefits
Full multi-tier supply chain visibility from procurement data
Automated corporate structure disambiguation and parent entity resolution
Concentration risk and sole-source dependency identification
Continuous monitoring of corporate structure changes and geopolitical risk
Data sources automatically integrated
Equipment & Programmes
Programme management systems
Fleet management and MRO records
Configuration management baseline
Design authority technical documentation
Maintenance and modification records
Supply Chain & Corporate
Procurement and contracts systems
Companies House and corporate registries
Subsidiary and ownership structures
Supplier self-declaration data
Sanctions and export control lists
Open Source & Intelligence
Government procurement portals (Find a Tender, SAM.gov)
Academic publications and preprints
Think-tank and policy reports
News and media monitoring
Conference proceedings and patents
Turning fragmented data into mission-ready intelligence
Defence organisations can't afford weeks-long data reconciliation when programme decisions need to be made today. Alchemia connects your existing systems into a unified intelligence environment — without migration, without disruption, without compromise on security or provenance.
The Alchemia approach
Accelerated Foundations
Schema fusion connects legacy defence systems. Equipment records, HR platforms, MRO tools — without requiring migration. Metadata graphs capture the relationships between platforms, components, suppliers, and personnel.
Rapid integration of legacy and modern systems
No data migration required
Self-documenting defence knowledge graph
Data Harmonisation
Entity resolution identifies that the same asset, supplier, or person appears under different identifiers across systems. Golden profiles provide authoritative records with full context and provenance.
Cross-system identity resolution for assets, suppliers, and personnel
Golden records with full audit trail
Continuous learning from analyst corrections
Interaction Layer
GraphRAG enables natural language queries across the unified knowledge graph. Graph navigation agents surface connected intelligence, finding the relationships analysts need without manual cross-referencing.
Ask questions in plain English across all systems
Automated API generation for downstram tooling
Connected insights across equipment, suppliers, and people