AI-Driven Intellectual Property Infringement Detection System

As a scale-up company in the Intellectual Property industry, we are seeking to develop a cutting-edge AI-driven system that leverages state-of-the-art technologies like LLMs, Computer Vision, and NLP to identify and report potential IP infringements across various digital platforms. Rapid growth in digital content has made it increasingly challenging for companies to manually monitor and protect their intellectual property, leading to significant revenue losses and brand dilution. This project will utilize technologies such as OpenAI API, TensorFlow, and PyTorch to build a robust solution that automates the detection of unauthorized use of trademarks, patents, and copyrights. The system will integrate with existing digital asset management systems and provide real-time alerts and reports, helping companies to take timely action and safeguard their IP assets. Key functionalities will include image and text analysis, predictive analytics to anticipate infringement risks, and an intuitive user interface for easy navigation. The solution will be designed to operate at scale, handling vast datasets with high accuracy and minimal false positives.