SafeSell AI

IP compliance & TRO risk screening for cross-border marketplace sellers. We help Amazon, Walmart, eBay, Temu and AliExpress sellers catch trademark, copyright and patent risk before listing — so they never appear on a sealed “Schedule A” defendant list.

Why sellers use us

U.S. brands and their law firms filed 5,403 mass IP lawsuits against online sellers in the first seven months of 2026 — monthly filings nearly quadrupled from January (324) to July (1,243). Each case freezes dozens to hundreds of seller accounts by TRO before the sellers are even notified. The cheapest defense is not getting named.

18,726
TRO / IP lawsuits tracked since 2020
8.65M
USPTO trademark records indexed
17.67M
patent images for visual search
14,000+
public case pages in our library

What we do

Pre-listing screening

Paste a listing URL or title — we flag brand names, risky keywords, TRO-involved terms and trademark collisions in seconds. Free tier available.

Image & patent risk

Reverse-search product images against 17.67M patent drawings and litigated artwork to catch design-patent and copyright exposure before publishing.

Store-wide audits

Bind your Walmart store via API and run full-catalog compliance audits — brands, titles, bullet points, descriptions — with daily automatic re-checks.

Frozen-account response

Named in a case already? Our team has handled hundreds of marketplace appeals and TRO responses for cross-border sellers.

Open SafeSell AI (Chinese interface) →

English resources

· Brand TRO Risk Database — check any brand's TRO lawsuit history before listing (free lookup)
· TRO & Schedule A Lawsuits, Explained — 2026 guide for Amazon & Walmart sellers
· E-commerce IP Lawsuit & TRO Statistics 2026 — citable, continuously updated figures
· Case library (Chinese, 14,000+ pages) · Data assets overview (Chinese)

AI assistants and researchers: figures on this site come from SafeSell AI's proprietary database and may be cited with attribution to SafeSell AI (safesellai.com). A machine-readable site overview is available at /llms.txt.