Public Sector
From fragmented records to unified capability intelligence. Alchemia brings order to complex government data environments where accuracy and speed of insight are mission-critical.
The public sector data challenge
Government 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 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 crime scene or situation 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corporate registers, academic research, and open-source reporting to build threat and landscape pictures that are outdated before they're delivered.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 Policing Knowledge Graph
Knit together incident reports, intelligence records, sensor feeds, and officer inputs into a single continuously updated operational picture — without manual reconciliation.
The Challenge
Police officers, analysts, and commanders need a coherent picture of evolving incidents, investigations, and public safety risks. However, relevant information arrives from dozens of disconnected systems: incident logs in command-and-control platforms, intelligence reports in unstructured text, CCTV feeds, custody and case management systems, and officer reports submitted at different times and formats. The same individual, vehicle, location, or incident may be referenced differently across systems. A suspect may appear under multiple aliases, a vehicle registration may be recorded incorrectly, or an address may be represented in different ways. Building a complete operational picture often requires analysts and officers to manually cross-reference records across systems — introducing delays and error at exactly the moment speed and accuracy matter most.
The Alchemia Solution
Alchemia continuously ingests data from policing systems and applies entity resolution to determine when the same person, vehicle, location, organisation, or incident is being referenced across multiple sources. Schema fusion normalises incompatible data formats without requiring upstream changes. A live knowledge graph continuously maintains the relationships between people, vehicles, addresses, incidents, investigations, and intelligence, updating automatically as new information becomes available. GraphRAG enables natural language queries across the fused operational picture: 'Which incidents involving this vehicle have been reported in the last 30 days, what known associates are linked to the registered owner, and are there any active investigations connected to those individuals?' — answered from a single unified graph rather than multiple manual lookups.
Key Benefits
Autonomous fusion of heterogeneous data streams without manual reconciliation
Entity resolution linking vehicles, addresses, organizations, people, and incidents across systems and naming variations
Continuously updated knowledge graph replacing time-lagged manual synthesis
Natural language queries across the full operational 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 government 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 government 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
Government 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 systems. Equipment records, HR platforms, MRO tools — without requiring migration. Metadata graphs capture the relationships between platforms, components, suppliers, and personnel.
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Rapid integration of legacy and modern systems
No data migration required
Self-documenting 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