Tagup logoTA

About

Tagup is a defence technology company founded at MIT that develops AI-powered systems for logistics and equipment management. The company's core product, Manifest, integrates data from large-scale industrial equipment to create consolidated equipment records and applies machine learning to predict failures before they occur. Tagup's technology also directly controls industrial equipment and logistics systems, serving defence customers and major equipment operators.

The company's focus is on providing decision advantage for military forces in contested environments, keeping them supplied, maintained, and mission-ready. Tagup has developed proprietary machine learning methods and a software platform that consolidates previously fragmented equipment data, enabling operators to optimise performance across complex logistics networks. The company is currently at Series A stage of funding.

Similar companies

Gallatin AI logoGA

Gallatin AI

Gallatin AI builds a defense logistics platform using AI, computer vision, and sensors to provide decision support and asset visibility across military sustainment operations.

Rune Technologies logoRT

Rune Technologies

Rune Technologies develops AI-enabled predictive logistics software for military applications in contested environments with degraded communications.

B3 Systems logoBS

B3 Systems

B3 Systems builds AI-driven manufacturing software, including its Digital Factory suite, to help industrial companies streamline operations and improve visibility.

Arch Systems logoAS

Arch Systems

Arch Systems provides an AI-powered machine data platform for electronics and discrete manufacturers, turning factory-floor data into guided operational insights.

NODA AI logoNA

NODA AI

A veteran-owned, venture-backed defense company building orchestration software for heterogeneous autonomous systems across air, sea, land, and space domains.

AssetWatch logoAS

AssetWatch

AssetWatch provides AI-powered predictive maintenance solutions for global manufacturers, combining wireless sensors, machine learning, and expert analysis to eliminate unplanned downtime.