Tagup develops next-generation artificial intelligence systems to deliver logistics decision advantage for defense operations. The company has built the Manifest platform, positioned as an operating system for the physical world, which integrates equipment data into consolidated records, applies advanced machine learning to predict equipment failures, and directly controls large-scale industrial equipment and logistics systems. This technical foundation enables military forces to remain supplied, maintained, and mission-ready in contested environments.
Founded at MIT by co-founders Jon Garrity and Will Vega-Brown, Tagup operates at the intersection of machine learning innovation and operational capability. The company serves defense customers and the world's largest equipment operators, applying proprietary methods to transform raw equipment data into actionable intelligence that drives superior logistics outcomes. By predicting failures before they occur and automating control of critical systems, Tagup enables customers to achieve measurably better performance from their existing resources.
The company's technical scope encompasses predictive maintenance, industrial control systems, logistics decision support, and the underlying machine learning methods required to operate effectively at scale. This combination of software platform capability and direct operational control distinguishes Tagup's approach within the logistics and critical infrastructure space. The work directly impacts military readiness and allied force capabilities in modern contested environments.
