Community-driven IP platform "
Through this collaboration, the two companies will jointly develop next-generation AI x IP solutions leveraging AI technology to create a new dynamic between IP rights holders and the community.
Background and Purpose of the Partnership
While the IP (Intellectual Property) industry is rapidly growing outside of Japan, there is a need to update traditional management methods and development methods for a global audience due to the varying understanding of IP across cultures and legal frameworks.
Xross Road aims to provide a platform where IP rights holders, fans, and creators can actively engage, and to fulfill this mission, it is building a new infrastructure utilizing AI and data analysis technology.
On the other hand, Allora Network offers innovative technology in AI prediction models and data analysis, supported by a global community of data scientists.
Through this partnership, the two companies will leverage data analysis to enhance the IP market, create customized user experiences, detect IP misuse, and develop new markets using AI Agents-ultimately shaping the future of the IP industry.
Xross Road aims to expand Japanese IP content into the global market while building stronger connections with fans. In collaboration with Allora Network, it will deliver innovative AI solutions and drive new value creation within the IP industry.
Xross Road is also strengthening its support for existing IPs and enhancing fan engagement, ushering in a new era for IP platforms.
Official website:
X (formerly Twitter):
Combining innovations in crowdsourced intelligence, reinforcement learning, and regret minimization, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.
To learn more about Allora Network, users can visit the
For media coverage requests or IP collaboration inquiries, users can contact:
extra mile Inc. Public Relations
e-mail: [email protected]
Official website:
This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program