case studies
Finding expertise through connected evidence
Exploring how graph intelligence and AI can help identify relevant expertise beyond titles, directories and keyword matching.
Expertise is visible in the relationships between people, topics and their work.
The challenge
Job titles are coarse, keywords are ambiguous and self-reported expertise is incomplete. Strong evidence that someone understands a subject may sit across publications, projects, collaborators and patterns of past work.
What we explored
Panalogy developed graph- and AI-based approaches for representing expertise as connected evidence. The system examines relationships between people, topics, work and other signals to support discovery.
What this enables
- Semantic matching between problems and people.
- Relationship-aware discovery and interdisciplinary connections.
- Recommendations supported by evidence.
- Reuse within organisational knowledge systems.