The Most Advanced AI Technology for Trademark Law
Built by AI experts in Silicon Valley who worked on self-driving cars and other cutting-edge tech innovations, Huski.ai is developing unprecedented technologies for trademark prosecution and protection, ultimately transforming trademark and brand protection for all.
Image Recognition Technology That Works
Our deep learning-based image recognition algorithm scans millions of product listings online to quickly and accurately find potentially infringing listings with images containing the protected product.
Innovations In Natural Language Processing
Our trademark search engine uses NLP to understand the semantics and phonetics of the marks and present you with the most relevant results when you search and screen trademarks.
We also invented a novel technique to detect trademark infringements from e-commerce product listings. Our machine learning algorithm identifies brands (Nike, Apple, etc.), products (sneakers, iPhone, etc.), and other features (colors, sizes, etc.) while simultaneously improving its accuracy based on patterns it finds among confirmed infringements. You can read our paper on Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity
Typing here: https://arxiv.org/abs/2211.02483.
Largest Knowledge Graph in the Field
A knowledge graph (or semantic network) represents an expansive network of entities or concepts, illustrating the relationships between them. Huski’s graph encompasses millions of entities—trademarks, brand owners, attorneys, law firms, lawsuits, and related products—as well as the countless connections between them.
Insights Derived From Big Data
The purpose of building the industry’s largest knowledge graph is so that you can quickly derive critical insights and make insight-driven decisions based on the latest available data.
