Collect
Reviews, forums, social posts, support pages, product pages, and official records.
The internet knew first.
Uh Oh! turns scattered reviews, forums, product pages, and FDA records into a cited incident packet before a weak signal becomes a recall surprise.
Detect
Cluster symptoms, severity, product identity, source diversity, and credibility.
Escalate
Generate a confidence-scored packet for Quality, Legal, or Marketplace Trust.
Recalls are written in the past tense.
By the time a recall becomes official, the harm may already have happened.
Every recall begins as a whisper.
The first warning rarely looks like a database entry. It looks like a review, a forum post, a support ticket, or a parent asking if anyone else got sick.
This protein powder wrecks my stomach every single morning 🤢
Anyone else get a weird itchy throat after taking these gummies?
Customer reported rash and hives after consuming the bar. Tastes like almond.
Why now, why us.
| Recall databases | Social listening | Customer support tools | | |
|---|---|---|---|---|
| Early detection | Reactive — posted recalls | Lagging & noisy | Needs customer reports | Detects signals early |
| Product-specific risk | Generic categories | No product context | Ticket-limited | Understands your ingredients |
| Severity scoring | None | Inconsistent at best | Manual triage | AI-powered severity score |
| Incident packet | Not available | Manual assembly | Fragmented threads | One-click packet for action |
We see it first, so you can act first.