BANGALORE, INDIA | August 2026
Molecular Connections, a global leader in scientific data intelligence, semantic enrichment, machine learning, and knowledge engineering, announced the launch of Tessera™, a platform designed to help scholarly and STM publishers securely govern, understand, and monetize how their trusted content is accessed and used by AI-powered applications.
As large language models (LLMs) and AI continue to transform research and discovery, publishers are increasingly asking two important questions: How can AI-driven content licensing create new revenue opportunities? And can they understand how their content is being used?
Built on more than 25 years of experience in semantic enrichment, knowledge graphs, and contextualizing scientific content, Tessera™ helps publishers make their trusted content available for AI applications while maintaining clear governance, transparent attribution, flexible licensing, and greater visibility into content usage.
Tessera™ also gives publishers valuable insights into how AI agents discover, access, and interact with their content. These insights help organizations understand usage patterns, assess the value of AI licensing opportunities, build stronger business cases, and shape long-term licensing strategies.
"For 25 years, Molecular Connections has been applying its semantic technologies and ontologies to data, providing it with valuable context. Tessera leverages that experience and expertise to provide a monetizable solution for publishers looking to license content to LLMs in a compliant manner," said Krishna Chinnaiah, VP, Business Development & Marketing, Molecular Connections.
As AI becomes an increasingly important way to discover and use knowledge, publishers need greater visibility and control over how their content is accessed. Tessera™ brings together governance, attribution, licensing, and usage insights in a single platform, helping publishers unlock new opportunities while protecting the value of their trusted content.
About Molecular Connections
With over two decades of expertise, Molecular Connections leads AI-driven innovation in scholarly publishing. The company specializes in developing proprietary machine-learning models, knowledge graphs, and semantic technologies that drive digital transformation within academia. Committed to diversity, Molecular Connections boasts a workforce of over 70% women and is recognized among the top 15 preferred workplaces for women in India.