Governed knowledge infrastructure for the public sector. Evidence-based decisions start here.
Government bodies and public institutions hold vast stores of information: legislation, proceedings, research, heritage records, policy documentation. It is siloed, hard to search, and inaccessible to modern AI. Data Graphs connects it, governs it, and makes it navigable by people and AI systems, with full audit trails and access controls built in.
The missing layer in your public sector knowledge ecosystem
Public sector organizations accumulate information across decades and across departmental boundaries. Legislation in one system. Hansard and proceedings in another. Policy research in a third. Heritage and archival materials in a fourth. Every team knows its own domain. No system understands the connections across them. When a researcher needs to understand how a piece of legislation evolved or how a parliamentary question connects to a policy outcome, they must navigate between disconnected systems manually.
Data Graphs provides the knowledge infrastructure that connects it all. Legislation, proceedings, people, committees, policy documents, and research outputs become nodes in a single traversable graph. A policy researcher can ask in natural language, "Which committee members have spoken on this topic in the last five years, and what related legislation was tabled?", and receive a grounded answer drawn from the organization's own governed information. AI systems that access this data do so through governed interfaces, with permissions enforced and every query auditable. This is what evidence-based decision-making looks like when the information layer works.
Give researchers instant access to decades of connected information
Parliamentary researchers and policy analysts spend significant time searching for precedents: a committee debate from a previous parliament, a written question that relates to a current inquiry, a piece of legislation that amended an earlier Act. When this information is held across separate systems, each with its own search interface, finding the right material requires expert knowledge of where to look and how each system is structured. With Data Graphs, all of this information lives in a single connected graph. A researcher can ask a natural language question, "What select committee reports have addressed housing policy since 2010, and which members were involved?", and receive an answer drawn from the organization's own governed records, with every claim attributed to a source. The same capability that takes experienced researchers hours can be delivered in seconds.
Connect archival collections so researchers and the public can explore them
National archives and heritage institutions hold collections that span centuries, but the value of those collections is limited by the discoverability of their contents. A document from 1850 is only useful if someone can find it, and finding it typically requires expert knowledge of the catalog or a significant amount of manual browsing. Data Graphs connects archival documents, images, and objects to structured metadata about the people, places, events, and organizations they relate to. A researcher asking "Show me all documents relating to this person's public life between 1880 and 1920" is navigating a knowledge graph, not a flat catalog. The relationships between records (the letter that references the same event as the photograph, the committee record that names the same individual) become visible and traversable for the first time.
Power AI tools that give grounded, auditable answers from government data
Government organizations increasingly face staff demand for AI-assisted tools to help them navigate large volumes of information quickly. The risks with general-purpose AI are well understood in public-sector contexts: responses that draw on the open web rather than authoritative sources, outputs that cannot be audited, and AI access that cannot be governed to role-based permission levels. Data Graphs provides the governed knowledge infrastructure that makes safe AI deployment in public sector contexts possible. AI agents and copilots query the knowledge graph through governed interfaces. Every answer is cited to a source within the organization's own data. Permissions are enforced at the query level: a junior researcher sees what they are authorized to see; a more senior analyst sees more. The audit trail is complete and exportable.
UK Parliament uses Data Graphs as the knowledge management system for the House of Commons Library Research and Information team, supporting evidence-based policymaking and parliamentary democracy. The National Archives is a Data Graphs customer for heritage inventory and archival collection management.
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