Tagup is a defense technology company founded at MIT that applies artificial intelligence to logistics and equipment management. The company develops machine learning systems that integrate equipment data, predict failures before they occur, and directly control large-scale industrial systems and logistics operations. Its flagship product, Manifest, functions as an operating system for physical logistics, designed to provide decision advantage for military forces operating in contested environments.
The company serves defense customers and major equipment operators, with a particular focus on keeping U.S. military and allied forces supplied, maintained, and mission-ready. Tagup's technical approach combines data consolidation from disparate equipment sources with advanced predictive algorithms to anticipate system failures and optimize logistics networks. The platform's AI capabilities extend to direct control of equipment and logistics systems, enabling real-time optimization across complex operational environments.
Currently in Series A funding, Tagup addresses a core challenge in modern military and industrial operations: maintaining operational readiness when supply chains and equipment networks grow increasingly complex. By automating logistics decision-making through machine learning, the company aims to make critical infrastructure safer, more reliable, and more efficient for organizations managing large-scale physical assets.
