Tagup

Tagup Inc. operates as a defense technology company that leverages artificial intelligence to enhance military and industrial logistics. Founded in 2017 by former MIT classmates Jon Garrity and Dr. Will Vega-Brown, the company was born from the realization that existing AI struggled with high-stakes decisions in low-data environments. Their shared vision was to merge limited data with expert knowledge, making complex, real-world problems solvable through reinforcement learning. Garrity's background in industrial asset management at General Electric and his MBA from Harvard complement Dr. Vega-Brown's PhD in mechanical engineering and deep research in artificial intelligence at MIT.

The firm's core offering is the Manifest optimization platform, a software-as-a-service (SaaS) solution designed to predict, plan, and execute supply and maintenance operations with high precision. This platform ingests and unifies diverse data types—including sensor data, maintenance logs, and metadata—to create a comprehensive record for each asset. By applying proprietary machine learning algorithms, Manifest can estimate an asset's remaining useful life and predict potential failures, allowing for proactive maintenance and optimized lifecycle planning. This capability is crucial for its primary clients in the defense sector, such as the U.S. Marine Corps, where logistical superiority and equipment readiness are paramount. The platform has also been successfully deployed in the private sector for industrial applications, including energy, water, and HVAC system optimization.

Tagup's business model is B2B, providing its AI-driven software to large equipment operators and manufacturers, helping them reduce operating costs, minimize unplanned downtime, and improve safety. The company's initial market entry focused on large industrial companies in the energy sector before expanding significantly into defense logistics. Headquartered in Boston, Massachusetts, Tagup has secured over $10 million in equity financing and has received federal contracts under the Small Business Innovation Research (SBIR) program to further develop its mission-driven logistics optimization solutions. Keywords: defense technology, military logistics, AI-powered logistics, predictive maintenance, asset management software, reinforcement learning, equipment failure prediction, industrial AI, supply chain optimization, maintenance optimization, asset lifecycle planning, U.S. Marine Corps contractor, Manifest platform, equipment data analytics, operational efficiency, dual-use technology, energy sector AI, critical infrastructure management, industrial IoT, Jon Garrity, Will Vega-Brown