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OSINT Processing & Enrichment

Transform open source intelligence (OSINT) into enriched, actionable intelligence to enable informed decisions.

Enhance your decision-making with DigitalStakeout's advanced processing capabilities, where raw OSINT data is meticulously refined into enriched, structured intelligence. Our platform employs state-of-the-art AI, machine learning, and NLP to cleanse data, add contextual layers, and automate the categorization of information. The transformation of OSINT collection into valuable insights enables precise alerting and streamlined workflows, ensuring that you have access to the most relevant and actionable data. With DigitalStakeout's transparent enrichment process, every piece of data is turned into a potential lead, illuminating facts and patterns required for investigation and analysis.

Translate and monitor keywords across multiple languages.

Transform content across languages using AI-powered translation. Process multilingual data automatically.

Identify and categorize entities within collected data.

Identify and categorize over 5 million entity types from unstructured content.

Automatically extract and normalize fields from collected data.

Convert raw data into structured formats. Standardize information across source types.

Organize and segregate data using multi-modal data structures.

Organize data using customizable hierarchies. Manage multi-tenant access and permissions.

Add geographical context to threat data through geo-tagging.

Add location context and geographic details to content automatically.

Provide enriched location data for precise geographical analysis.

Enrich content with precise geographic coordinates and location metadata.

Categorize data into relevant risk incidents using AI.

Categorize content using machine learning models and AI classification.

Analyze content for sentiment, including hate speech and volatility.

Analyze text tone and context using natural language processing.

Get started, see DigitalStakeout Scout plans and pricing.

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