
Our Approach
Uncovering hidden connections between suspicious accounts by targeting fundamental mechanisms of digital influence

Redefining Detection of Inauthentic Influence
Most tools for detecting inauthentic or coordinated activity online lean on cookbook methods for estimating correlation — topic spikes, timing overlap, network clustering, and narrow bot detection trained on past behavior.
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Savvy actors game these blind spots, and analysts still spend hours piecing together campaigns across platforms and languages.
Proven, Peer-Validated Approach
Academically vetted and peer-reviewed methodology, targeting core features of influence to detect disinformation with greater precision and depth than traditional tools.
Fast, Actionable Intelligence
Delivering high-confidence indicators of inauthentic activity in real time—empowering decision-makers to respond swiftly and effectively to manipulation campaigns.
Next-Gen Detection Across Platforms
Platform- and language-agnostic intelligence that identifies weak signals and uncovers hidden patterns of coordination—revealing threats that others miss.
“I was impressed by the speed of pulling the insights together from a single search term”
– Senior Director, National Intelligence Agency
Fast Intelligence. Frictionless Workflow.
InfauxTech uses a patented, peer-reviewed five-step process to uncover hidden patterns and coordinated groups, often in less time than it takes to write an email. This accelerates analysis, saves valuable time, and helps teams zero in on credible intelligence from the start.

InfauxTech In Action
Prompt Intelligence

InfauxTech was tasked with identifying networks associated with the spreading of narratives related to American Biolabs over the last 6 months.​
Total Time Taken For Steps 1-5A: 40 minutes

662,378 Posts from
277,436 Accounts
999 Suspicious OI -
Days (98th Percentile)
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14,445 Suspicious Accounts ​
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56 Suspicious
Communities

3,000 Posts from
2,099 Accounts
24 Suspicious OI -
Days (95th Percentile)
37 Suspicious Accounts
12 Suspicious Communities

29,288 Comments from 22,382 Accounts
283 Suspicious OI -
Days (95th Percentile)
1131 Suspicious Accounts
43 Suspicious Communities