Solution for Researchers
Academic Research in Geopolitics
Structured geopolitical data for rigorous research. Historical analysis, entity databases, and citable intelligence for academic work.
Intelrift provides researchers with structured, queryable access to a continuously growing corpus of geopolitical intelligence. Every cluster, entity, and relationship is timestamped and sourced. Use the Spectre AI assistant to explore patterns across years of data, generate literature-style reviews of geopolitical trends, and export structured datasets for quantitative analysis.
Problems we solve
- 01Geopolitical datasets are fragmented across dozens of incompatible sources
- 02No structured database of entity relationships with temporal context
- 03Manual event coding for quantitative research takes months
- 04Existing platforms like GDELT lack semantic understanding and contextual analysis
Key capabilities
Features built for you
Structured Event Database
Every ingested article is processed into structured data: entities, locations, event types, severity scores, and source metadata. Query across the entire corpus with full-text search and semantic similarity matching.
Historical Pattern Analysis
Trace how geopolitical dynamics evolve over time. Timeline visualizations show cluster frequency, entity co-occurrence trends, and risk score trajectories. Compare periods, regions, and actor networks across the full dataset.
Citable Sources & Export
Every data point traces back to its original source with full citation metadata. Export datasets in CSV, JSON, or API for integration with R, Python, SPSS, or your preferred analysis tool.
Use cases
Intelrift in action
Quantitative Analysis of Conflict Escalation Patterns
A political science researcher studying conflict escalation uses Intelrift to access structured event data across 15 conflict zones over 2 years. The platform provides timestamped severity scores, entity involvement patterns, and cluster frequency metrics. The researcher exports the dataset via API and runs regression analysis in R, finding that specific entity co-occurrence patterns predict escalation with 72% accuracy.
Dissertation on Information Warfare
A PhD student researching state-sponsored information warfare uses Spectre to identify clusters where the same narratives appear across multiple state-aligned media outlets simultaneously. The entity network reveals coordination patterns between media entities, government officials, and social media accounts. The structured data becomes a key evidence base for the dissertation.
Getting started
How it works
Sign up
Register in under 30 seconds. Free plan available with 10 monthly credits and full access to the intelligence feed.
Configure alerts
Define the regions, entities, and risk thresholds that matter to you. Real-time SSE alerts notify you instantly.
Start analyzing
Query the intelligence corpus with Spectre AI, explore entity networks, and generate structured assessments from day one.
Why Intelrift
Competitive advantage
Intelligence in minutes, not days
Automated pipeline every 30 minutes vs multi-day editorial cycles. ML clustering groups related events before they trend.
Free to start. Premium from €9/month
Enterprise alternatives cost $24k-$200k/year. Intelrift offers a free plan with 10 credits and accessible premium plans for individual professionals.
Built-in AI assistant, not an add-on
Spectre AI understands the full intelligence corpus. Query, test hypotheses, and generate assessments in natural language. Not a generic chatbot bolted on.
Start today
Try Intelrift for free
Create your account in 30 seconds. No credit card required. 10 AI credits included on the free plan.