Inside-clip mentions
Logo detection, product placement, named mentions, and on-screen text — extracted from the frames and the audio, not just the description.
Use case · Brand & PR monitoring
Text monitoring reads the title, the description, and the comments. We read the clip itself — what's said, what's shown, what's claimed — so the teardown you'd otherwise see three weeks later lands on your desk on day one.
What the engine does for brand and PR teams
Every relevant mention surfaced from inside the video itself — sentiment, claims, on-screen logos, and creator activity — across YouTube, TikTok, X, Twitch, and the long tail of UGC.
Logo detection, product placement, named mentions, and on-screen text — extracted from the frames and the audio, not just the description.
Per-clip sentiment scored with the contributing signals attached: the spoken claim, the on-screen comparison, the creator's prior posts about you.
YouTube, TikTok, X/Twitter, Twitch, and the regional platforms that matter for your market — one ranked feed, not four dashboards.
How it fits your stack
We don't replace your social-listening platform, your media-monitoring contract, or your PR CRM. We add the layer they all skip — what's actually inside the video — and feed it back as structured signal.
Push events into Slack, Teams, your CRM, or your in-house dashboard. Pull on demand via the REST API.
Sits alongside Brandwatch, Meltwater, Talkwalker. Surface video signal they can't see; route everything else through them.
Severity classifier routes high-velocity negative video into the on-call queue; the rest into the morning brief.
Our promise to brand and comms teams
We are building a brand-monitoring pipeline that reads what is said and shown inside the clip, not just the text around it. We are pre-launch on this surface — these are the commitments we will hold pilots to, not metrics from a fielded customer.
Day-one
Surface negative-sentiment video as it lands, not weeks later
Inside-clip
Sentiment from what is said and shown, not just the comments
Cross-platform
YouTube, TikTok, X, Twitch — one queue, not four dashboards
Comms-ready
Clip, timecode, transcript, and routing tag in every alert
Filtered from the questions that come up in weeks one and two of a brand-monitoring pilot.
Those tools read text — titles, captions, descriptions, comments. We read the video itself: what is said, what is on screen, what is claimed. We are designed to layer on top of an existing social-listening contract, not replace it.
YouTube, TikTok, X/Twitter, Twitch, and regional video platforms relevant to a customer's market (e.g. Bilibili, Kuaishou). Coverage of any specific platform is part of the pilot scope conversation.
We classify public posts by topic, sentiment, and on-screen content — not by individual creator profile. We don't build per-person profiles and we don't sell creator data downstream.
Our target is sub-15-minute lag from publish to alert for monitored creators and keyword queues, with crisis-class velocity (rate-of-share spikes, negative-sentiment + reach) routed to on-call within minutes. Latency targets are part of the pilot SLA.
Yes — webhook to Slack/Teams, REST API for everything else. We don't ship a standalone dashboard you have to log into; the value is in routing structured video signal into the tools your team already lives in.
Brand & PR monitoring
Tell us your brand and the platforms you care about. We'll run the last fourteen days of video against the engine and show you exactly what we'd have caught.