An AI-assisted platform that monitors open channels, maps narratives and coordination patterns, and provides early-warning signals for information integrity, risk assessment, and evidence-based response
Narratives around Trump-Putin Alaska meeting
Disinformation spreads fast and globally. Platforms amplify hostile narratives within hours. Manual moderation can’t keep up—our AI detects, analyzes, and responds before falsehoods go viral.
Spot coordinated disinformation across videos and comments.
Assist with building response strategy with focus on most important narratives & channels
Keeps the media field populated with evidence-based replies in automatic or co-pilot mode
That's real cases we implemented in multiple countries to help civil society organizations respond to disinformation.
See which stories are heating up and who’s pushing them, so you can act before they stick.

Detects abnormal activity vs baseline and provides confidence scores and rationale to support escalation decisions
Case: Georgia - 7 NGO's bank accounts freezing
NGO-related narratives spikes like 'ngo are western puppets' got 5x to 10x times growth in 2 days before the restrition itself as part of media field preparation strategy

Tells you which narratives are accelerating and who’s driving them. Use it to time editorials and deploy fact-checks when a curve bends upward. The “top channels” information shows where to engage creators or request corrections
Case: Moldova - a week before for Sep 2025 electoral campaign
Stable and fast growing trend for narratives about 'legitimacy of government', 'political repressions in country', etc as part of media field preparation strategy

Indicates behavioral patterns and insights for coordinated narratives pushing activity
Case: Ukraine - period of Trump & Putin's meeting on Alaska
Slow activity during event and delayed activity later because of weekend and late instructions on messages to propagate
Track selected channels & actors activity related to monitored narratives matches
Summarize new videos; extract key messages and framing aligned with your topics taxonomy.
Ingest, cluster, and score comments; detect coordinated drops and repeated messaging.
Group similar narrative messages; see emerging narratives and their velocity over time.
Trace how themes migrate across videos and channels; see where amplification starts.
Visualize topic flow between channels; spot seeding and secondary boost networks.
Identify high-frequency, cross-channel commenters pushing the same narratives.
Optional assistant drafts factual replies for analyst review.
Real-time alerts and weekly/monthly briefs; CSV/JSON exports.
We set up a joint pilot in 3 simple steps:
We set up introduction call to present full platform capabilities and your needs & interests
You provide us list of YouTube channels to monitor and possible topics you consider as narratives
In a week after you will get platform account with monitoring results for join discussion and thresholds calibration
YouTube is supported today (videos, captions, comments). Architecture is modular and right now we work to extend sources to Telegram and X/Twitter feeds.
We combine video & comments content extraction, vector search, clustering, and a configurable topic taxonomy with advanced combination of LLMs usage.
Yes. Enterprise supports private deployments and data residency. BYOK is available for LLM and infra.
Yes. CSV/JSON exports are possible for all platform data.
Multilingual processing is supported; topics can be provided in any language, even localized per country.
Tell us your countries, channels, and topics—and we’ll spin up a pilot.