Transform publicly available digital data into actionable insight on emerging narratives, amplification patterns, and information dynamics.
ATC helps organizations analyze open-source digital environments to detect how narratives evolve, which actors amplify them, and what signals matter for research, monitoring, and decision-making.
For media organizations, public sector teams, researchers, and organizations monitoring digital information environments.
Open Source Intelligence (OSINT) refers to the collection of publicly available information
Social media platforms
Online news environments
Blogs and discussion forums
Public digital datasets
Coordinated campaign detection
Identify synchronized amplification patterns across accounts and narratives.
Bot-like activity analysis
Detect clusters of automated or semi-automated amplification behavior
Narrative monitoring
Observe how narratives emerge and evolve across digital information environments.
Claim origin identification
Identify the earliest detectable appearance of claims within digital conversations.
Open Source Intelligence (OSINT) is the collection and analysis of publicly available information from digital sources such as websites, news outlets, social media, blogs, forums, public databases, and other online environments. When combined with AI and analytical workflows, OSINT helps organizations identify patterns, emerging narratives, entities, and influence dynamics across the information space.
- Traditional social listening usually focuses on mentions, keywords, engagement, and brand sentiment. ATC’s AI-powered OSINT approach goes further by helping organizations detect narrative formation, trace amplification patterns, identify entities and networks, and understand how information spreads across multiple sources and communities.
- Narrative Intelligence helps organizations understand how ideas, claims, and interpretations emerge and evolve online. Instead of only tracking isolated posts or mentions, it focuses on the broader storylines, framing patterns, and coordinated amplification that shape public perception in digital environments.
- This approach can support public sector teams, media organizations, fact-checking initiatives, research institutions, NGOs, and enterprises that need to monitor information environments, understand narrative trends, detect coordinated activity, and transform open-source data into actionable insight.
- Depending on the use case, OSINT workflows can include websites, online news, blogs, forums, social platforms, public channels, open databases, and other publicly accessible digital sources. The goal is to create a structured view of the information landscape relevant to the organization’s objectives.
- Yes. AI-supported OSINT can help identify suspicious amplification patterns, recurring narratives, coordinated messaging behavior, source relationships, and shifts in framing. This supports analysts and organizations in detecting potential misinformation activity and influence operations earlier and more systematically.
- ATC’s approach is designed to go beyond raw monitoring by producing structured outputs such as narrative mapping, source and entity analysis, network insights, trend detection, and analytical reporting. The aim is to support decision-making with context, interpretation, and actionable findings.
- It can support both. Some organizations need targeted analysis around a specific topic, event, or campaign, while others benefit more from continuous monitoring of evolving narratives, actors, and information ecosystems over time.
- AI helps process large volumes of open-source data faster and more consistently. It can support tasks such as entity recognition, clustering, topic detection, pattern discovery, and narrative analysis, allowing analysts to focus more on interpretation, validation, and decision support.
- A good starting point is a conversation around the organization’s monitoring goals, operational needs, and information challenges. From there, ATC can explore the most relevant use case, scope, and analytical approach based on the specific context.
Traditional social media monitoring focuses on engagement metrics.
AI-driven OSINT analytics enables deeper analysis of narratives, relationships and amplification dynamics across digital environments.
AI-powered OSINT analytics
ATC exploits AI to transform open-source data into structured insight by identifying narratives, detecting patterns and reconstructing how information evolves over time.
Narrative Extraction
Identify emerging narratives and recurring themes across digital discussions.
Entity Recognition
Automatically detect people, organisations, locations and events mentioned in open-source content.
Network Analysis
Understand relationships between accounts and information flows within online conversations.
Pattern Detection
Identify unusual activity patterns and amplification signals in digital discussions.
Timeline Reconstruction
Analyse how narratives and claims evolve over time.
AI-assisted OSINT analytics can support
- misinformation and disinformation analysis
- narrative intelligence for media organizations
- research on digital information ecosystems
- monitoring of emerging information trends
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