[vc_row full_width=”stretch_row”][vc_column][insikt_page_hero title=”” title_color=”#0a0a0a” heading_image=”1379″ image=”347″][/vc_column][/vc_row][vc_row full_width=”stretch_row”][vc_column][insikt_heading title=”Our AI-Powered OSINT Platform: Introducing Spotlight.” title_color=”#ffffff” bg_color=”#ff0000″ border_color=”#0c0000″][/vc_column][/vc_row][vc_row el_class=”container page-content no-paddings”][vc_column][vc_custom_heading text=”The Spotlight OSINT Platform ” font_container=”tag:h2|text_align:left|color:%23ff0000″ use_theme_fonts=”yes”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]

INSIKT Spotlight is a unique platform, which collects and analyzes massive amounts of data to help governments, security bodies and enterprises detect suspicious content, powered by Artificial Intelligence methods such as Natural Language Processing, Deep Learning and Social Network Analysis (Network Science) in order to leverage cutting-edge algorithms to surface hidden insights and cut through the noise to effectively detect problematic online activity.

Thanks to our technology, we are able to collect and process communications from virtually any source: OSINT, traditional media and any Social Media source. Our platform supports Big Data applications and can capture, store, and integrate massive data sets from multiple data sources.

Our patent-pending Natural Language Processing methodology facilitates the extraction of topics, concepts, entities, key ideas from any human-generated speech, post, call, or other digital data.

Our technology is singular in that it uses Deep Learning on top of Word Vector models to help our NLP methods. Deep Learning methodologies improve accuracy and are especially significant in facilitating analysis and detection when data is scarce.

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INSIKT Spotlight enables the user to perform both specific and broad searches on the database that is created from the analysis of the texts. These include:

Once the search is complete, INSIKT Spotlight platform allows the user to visualize the data through:

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Our technology has been co-funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement number 767542.