Artificial intelligence (AI) and semiconductor integrated solution corporations Dnotitia said on the 5th that its Seahorse AI Storage won the AI Application Award at FMS (Future of Memory and Storage) 2026, a memory and storage exhibition held in Santa Clara, California, from the 4th to the 6th. Dnotitia was also named a finalist in the Startup Business Growth Award institutional sector, which evaluates corporate growth potential and technology commercialization capabilities.
Marking its 20th anniversary this year, FMS is a global event spanning memory and storage, semiconductors, data centers, and the AI infrastructure ecosystem. It is regarded as a venue where industry technology leaders, corporations, and engineers gather to share next-generation memory and storage technologies and real-world use cases.
Seahorse AI Storage is a platform that helps AI accurately and quickly search and use various structured and unstructured data, including corporate documents. From document collection and analysis to vector conversion, search, knowledge management, and AI service integration, it provides all functions on a single platform so that corporations can operate enterprise RAG (retrieval-augmented generation) and AI agents not only in the cloud but also on-premises and on closed networks.
It features analyzing tables and charts in documents, as well as structure and context, and using meaning-based vector search together with a search method that finds exact words and figures. The Agent Knowledge Base supports AI agents by providing multiple search methods—tree, HYBE, keyword, and graph—so the agent can choose the method suited to the question, and the search results are designed to link to the original sources so that the basis for the AI's answers can be verified.
Dnotitia will exhibit Seahorse AI Storage alongside a vector search accelerator card equipped with the world's first vector data computation accelerator, the Vector Data Processing Unit (VDPU) chip, at the FMS 2026 booth through the 6th. This is the first time the actual VDPU chip that Dnotitia has been developing will be unveiled. On site, the company also plans to introduce technology and partnership models that upgrade existing storage into AI storage by combining the Seahorse vector DB with the VDPU.
Chief Executive Jeong Moo-gyeong of Dnotitia said, "AI bottlenecks are expanding beyond compute performance into the domains of storing and searching data," adding, "In the AI era, storage is becoming more about finding the needed information accurately and quickly based on meaning rather than simple storage, and this award is meaningful in that Seahorse AI Storage was recognized as a technology that meets these needs."