We measure and publish our accuracy. Transparency is trust.
We combine AI automation with human expertise to deliver accurate, actionable intelligence.
Collect from 3+ sources per event
AI flags inconsistencies for review
Human analysts validate critical events
Assign confidence score before publishing
Every quarter, we review our predictions against actual events to measure and improve our accuracy.
We document our forecast with date and confidence level
Track actual developments over following weeks
Did events match our prediction?
Update models based on results
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