Innovation Lab
Pushing the Boundaries of DAM
The NetX Innovation Lab is a dedicated space where industry experts, product developers and AI pioneers collaborate to define what’s next for enterprise digital asset management. This team is focused on tackling the most complex challenges in content management, leveraging cutting-edge technology to deliver groundbreaking solutions.
In a move set to transform the field of archival management, NetX has entered into a groundbreaking partnership with Tech AI, the AI Hub at Georgia Tech, one of the country’s leading AI research institutions. This collaboration aims to revolutionize the cataloging, access and preservation of historical collections, setting new standards for digital asset management through advanced artificial intelligence (AI).
"Partnering with NetX is an incredible opportunity to apply Georgia Tech’s cutting-edge AI research to real-world challenges in archival management," said Pascal Van Hentenryck, A. Russell Chandler III Chair and professor, and the director of both Tech AI and the NSF Artificial Intelligence Institute for Advances in Optimization (NSF AI4OPT). “We’re not only preserving history but are also reimagining how it can be experienced.”
Smarter Assets Through Cognitive Asset Intelligence
NetX is pioneering a new frontier in digital asset management — where assets don't just sit in storage, they learn. Using advanced AI, we’re developing systems that build contextual awareness across assets over time, enabling richer insights and smarter decisions.
Imagine a DAM that understands how your assets relate to one another, adapts as new content is added and helps you uncover what matters faster. Our goal is to enable autonomous content ecosystems that accelerate discovery, boost activation and continuously drive value.
Beyond Correlation: Causal Intelligence for DAM
NetX is leveraging causal analytics to redefine how organizations interpret their digital content. Unlike traditional analytics that rely on correlation, causal intelligence uncovers the "why" behind performance — helping you make decisions with confidence.
By applying techniques like causal inference, counterfactual analysis and causal graph modeling, we aim to reveal what actions truly impact outcomes. The result: better-performing content, smarter workflows, and more predictive, intelligent searches.
