Astroscreen combines machine-learning models with human disinformation analysts to monitor social networks for contextual anomalies and coordinated campaigns. Its techniques include coordinated activity detection, linguistic fingerprinting, and fake account and botnet detection. The platform alerts brands when they are under attack at early stages, giving them time to mitigate reputational harm. The company has secured $1 million in initial funding to progress its technology. Astroscreen positions itself as complementary to platform-level defenses by focusing on topic-specific anomalous behavior rather than only collective anomalies. Its leadership includes CEO Ali Tehrani, who previously sold a machine-learning news analytics company in 2015, and CTO Juan Echeverria, whose UCL PhD focused on fake account detection and who uncovered a large Twitter botnet.

Total raised

$1M

Funding rounds

1

Latest round

Equity

Latest activity

Apr 2019