Energy and supply-chain risk
Investigating regional disruptions, energy infrastructure dependencies, trade routes and potential effects on supply continuity.
AI-assisted OSINT.
Shared memory.
Human judgment.
We are building a multidisciplinary OSINT unit in Türkiye, with AJLUN as its shared memory and central analytical platform. Our aim is to help analysts connect open-source evidence, investigate emerging patterns, and prepare source-linked assessments for decision-makers facing uncertainty.
Working prototype · Under development · Initial research focus: Iran and the Gulf
A shared foundation for research.
AJLUN is being developed as the shared memory and central analytical platform of a multidisciplinary OSINT unit in Türkiye, with AI at the centre of its working model. It brings source records, extracted claims and actor relationships into a persistent research environment.
Analysts retain responsibility for interpretation, publication and decisions.
From open sources to reviewed assessments.
- Open-source information
- Extraction and organisation
- Graph memory
- Evidence retrieval
- Analyst review
- Briefs and scenarios
AI supports information extraction from text, helps find relevant evidence, and drafts explanations and alternative scenarios. Collection, storage and other routine steps do not all require a model.
Neo4j stores relationships between events, source records, claims and actors. This shared memory helps analysts revisit earlier findings and explore connections in context.
Read the approach →Analysts and decision-makers facing uncertainty.
We aim to support source-linked assessments and alternative scenarios across these research areas, especially during uncertainty and crises.
International affairs and regional analysis
Connecting political developments, institutions and regional relationships, with an initial research focus on Iran and the Gulf.
Defense policy and industry research
Examining strategic policy, public industrial and procurement developments, supply relationships and regional security risks.
Built through practical research and iteration.
AJLUN’s prototype brings together a persistent research archive, graph-based relationships, analytical examples and human-review records. Our next stage is to evaluate analytical quality and usefulness in a focused expert pilot.
Development & Evidence →Making uncertainty explicit.
Our research records include initial probabilities and forecast updates. The public forecast ledger is not yet available.
Development and evaluation →