Case study · From the Pluris libraryReceipt no. 6582
What sucked
A leading reproductive-health non-profit relied on manual misinformation monitoring that took up to four days.
Staff reviewed social posts by hand, letting false narratives gain traction before any response, undermining public trust in a high-stakes domain.
What they built
An AI misinformation-monitoring platform that scans social platforms, transcribes video, checks claims against verified databases, and surfaces flagged content for staff to counter, collapsing a four-day manual process to 30 minutes.
What changed
99% Faster Detection
From up to 4 days to ~30 minutes.
4 Days to 30 Min
Misinformation surfaced before it spreads.
Automated Claim Checks
Video transcription + claim-matching against verified databases.
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