TrademarkVision

TrademarkVision is an AI-driven cloud-based solution designed to enhance trademark and industrial design search and classification processes. According to the vendor, the product offers powerful image search and smart classification tools that enable quick and accurate examination of new applications. By utilizing advanced computer vision and deep learning algorithms, TrademarkVision compares shape, contour, and texture to provide comprehensive, ranked results. It also incorporates object recognition to determine likely Vienna or Design codes.

The product aims to improve the quality of applications and increase public satisfaction. According to the vendor, TrademarkVision provides powerful image search and AI classification tools to public applicants, allowing offices to transparently support SMEs in researching proposed marks and filing high-quality applications.

TrademarkVision eliminates the subjective and error-prone code-based search methods, offering greater consistency and efficiency in trademark and industrial design searches. The vendor claims that code-based searching is subjective and prone to mistakes, making image search a valuable alternative.

Key Features:

• TrademarkVision: search image marks: According to the vendor, this feature allows examiners to quickly examine new applications. Image recognition technology automatically analyzes key design attributes and compares them to millions of records. The relevance ranked results streamline review time, eliminating the need to rely on subjective code-based search methods.

• DesignVision: search industrial designs: The vendor states that this feature simplifies the complex and time-consuming process of searching industrial designs. It eliminates the need to rely on subjective code-based search methods and returns similar designs in seconds.

• AI Trademark Classification: Traditionally, classifying new applications is time-consuming and prone to error. The vendor claims that TrademarkVision's AI suggests likely relevant codes, speeding up the process and increasing accuracy. Users can adjust confidence thresholds, add codes manually, classify specific sections, and more.

• AI Goods and Services Classification: The vendor suggests that this feature can be used by the public to help SMEs file higher quality applications. Advanced natural language processing identifies incorrect class placements, going beyond exact text matching and identifying synonyms. The models can be trained on office-specific picklist/preapproved terms and can analyze individual terms or large blocks containing dozens of claims.

• AI Smart Rules Checker: According to the vendor, this custom-built AI and reference-based rules feature alerts applicants to issues before filing. Text-based rules identify concerns like prohibited words/language and merely descriptive trademark names, while image-based rules identify concerns like the inclusion of prohibited logos/flags.