The scalable engine for IP pre-screening.

Image recognition and evidence labeling at the core—helping teams process larger volumes with less expert dependency.

01

Image-Led Trademark Detection

Traditional keyword searches miss up to 60% of infringements. Our Visual AI locates trademark positions and identifies variants that text searches can't catch.

01

Trademark Location: Automatically identifies where trademarks appear within product images.

02

Variant Recognition: Detects modified logos, color-shifted marks, and near-confusing similarities.

02

Seller Intelligence

Beyond individual listings—we build seller profiles that reveal infringement scale, estimated revenue, and repeat violation history across platforms.

01

Infringement Scale Scoring: Estimate each seller's infringing revenue and listing volume to prioritize high-impact targets.

02

Repeat Offender Detection: Flag sellers with prior violations across Amazon, eBay, TikTok Shop, and more—so enforcement focuses where it matters most.

03

Evidence Automation

Structured evidence output means reviewers spend seconds per case—not minutes. Every item arrives pre-labeled with the context needed to decide.

01

Tiered Classification: Items labeled as 'Infringing' or 'Suspected Infringing' with supporting evidence points.

02

Structured Output: Confidence scores, visual comparisons, and seller metadata packaged for rapid human review.

知识产权初筛的规模化引擎

以图像识别与证据标识为核心,帮助团队以更低经验依赖处理更大规模样本。

01

图像驱动商标识别

传统关键词搜索会漏掉高达 60% 的侵权行为。我们的视觉 AI 能够定位商标位置并识别文字搜索无法发现的变体。

01

商标位置识别:自动识别商标在商品图像中的出现位置。

02

变体识别:检测修改过的 Logo、色彩偏移的标识以及近似混淆的相似度。

02

卖家画像

超越单条商品维度——我们构建卖家侵权档案,呈现其跨平台侵权规模、预估侵权金额与重复侵权记录。

01

侵权规模评估:估算每个卖家的侵权营收与上架量,优先锁定高价值打击目标。

02

惯犯识别:标记在亚马逊、eBay、TikTok Shop 等平台有历史违规记录的卖家,让执法资源精准落地。

03

证据自动化输出

结构化证据输出意味着复核人员每个案件只需数秒——而非数分钟。每条记录到达时已预标注,附带做出判断所需的全部上下文。

01

分层分类:记录被标注为'侵权'或'疑似侵权',并附带支撑证据点。

02

结构化输出:置信度评分、视觉对比和卖家元数据打包,供人工快速复核。