Technology

Public Affairs generates large volumes of information across issues, stakeholders, and political processes. The challenge is not access to data - it is turning fragmented inputs into usable, shared understanding.
Ulobby’s technology is built to structure political information, preserve context over time, and make relationships and developments visible across teams.

Applied graph theory to understand political dynamics

At the core of Ulobby is an applied graph model that connects issues, stakeholders, interactions, and documents in a single structure.

Public Affairs work is inherently relational. Decisions, positions and influence rarely stand alone. By modelling political activity as connected data rather than isolated inputs, Ulobby allows teams to understand how issues evolve, how stakeholders relate to each other, and where engagement matters most.

This makes it possible to move from individual actions to collective oversight - and from activity to insight.

Knowledge extraction from unstructured texts

Technology should support judgment - not replace it. Ulobby is built to help Public Affairs professionals see what matters, when it matters.

Political information is rarely structured. Positions, signals, and developments are embedded in parliamentary documents, media coverage, consultations, and public statements.

Ulobby uses advanced text analysis to extract relevant information from unstructured sources and link it directly to issues and stakeholders. This ensures that new developments are captured early and placed in context - without manual tracking or duplication of work.

The result is a continuously updated political landscape that supports timely prioritisation and informed decision-making.