Beast Code

Beast Code is a software company developing innovative applications in the areas of design, training, and logistics. The company provides warfighter software for virtual training systems for the military, automated identification for documents, web apps for displaying data, and web-enabled apps to provide real-time information on data management and security systems. And the company builds virtual environments to represent digital models, engaging game-based e-learning capabilities and data-driven logistics. The company was founded in 2014 by Matt Zimmermann and is based in Fort Walton Beach, Florida.

As the name implies, Beast Core is the core software from Beast Code that serves the defense industry by providing rapid and cost-effective digital twin technology, which is developed to allow users to access authoritative data from various sources. The solution offered in Beast Core is a configuration-managed representation of the "last mile" of the data life cycle. The software transforms technical information—such as drawings, procedural instructions, and product models—into integrated three-dimensional virtual representations (digital twins), which are intended to support the phases of a product lifecycle through the Department of Defense (DoD).

The capabilities of Beast Core include an intuitive dashboard for learning management, such as assigning and tracking student progress; a 3D viewer for interactive simulation of digital systems and links to metadata and technical documents; an immersive first-person walkthrough of realistic renderings of real-life environments; a configurable library of technical documentation linked to the software's 3D models in digital twin; a customizable user interface with a backend that allows for real-time updates; and game-based training for teaching, familiarization, operations, and maintenance topics.

Beast Code's Argus software allows users to transform documents—such as manuals, procedurals, and drawings—into interactive representations of what is described in the documents. The software is also capable of identifying correlations between documents and can create hyperlinks to the 3D model and links stuctured data to equipment, creating a digital twin environment in which users can virtually and visually explore various documents.

Argus uses machine learning and deep learning capable of identifying text, tables, and diagrams, which can be extracted into a relational database. The software is capable of optical character recognition, table extraction, and diagram parsing.