Nowadays, terrorist attacks are a global concern. Working proactively to stop potential threats is of the highest importance for the intelligence agencies. Using large amounts of historical data and applying the right models can help them to find those links that can prevent future attacks.
With LogicPlum, organizations can use their data to develop, model, and test hypotheses in a short time. Analysts can thus, reach knowledge capable of helping the intelligence community in preventing such attacks.
LogicPlum consolidates data that is then used by its automated machine learning in finding clues that otherwise would have remained hidden.