The information society is characterised by the amount of data created, distributed and available to technology users, becoming increasingly difficult to extract, classify and analyse it, so cyber intelligence operations need a new way to automatically generate intelligence from the extracted data._x000D_ _x000D_ Through this project, an Intelligence Platform is designed and implemented, with technology executed in an operational environment (Technological Preparation Level 7-9). This platform will analyse data collected from multiple simultaneous sources, increasing the quality and effectiveness of the information involved in cyber intelligence operations. Multiple tracking modules will feed the system with data extracted from social networks Facebook, Twitter and Telegram, and dark networks Tor, I2P and FreeNet. All these modules will be integrated into a scalable and maintainable architecture, allowing to distribute the tasks involved in intelligence operations. The analysis process will be carried out at different stages of the intelligence operations, allowing researchers to obtain autonomous, centralised and organised information correlated from their searches._x000D_ _x000D_ Finally, researchers will be able to store the intelligence obtained by generating reports where the information of all modules appears. Thus, the information presented is much more valuable than that recovered in the early stages of the operation. This system would help governments, organisations, and law enforcement retrieve information, allowing them to respond quickly to security threats._x000D_ _x000D_ This intelligence platform extracts, analyses, and correlates large amounts of data to generate useful information for researchers. Its sources are multiple trackers that retrieve data from public contexts: social networks, dark networks or leaks of information