Beast Code, LLC is a software solutions company that specializes in software development, data aggregation, integration, and visualization. We developed Beast Core, a software solution designed to provide users with access to information necessary for informed decision-making through data integration and modern UI/UX. This tool is utilized to support design, training, and sustainment activities by aggregating data from multiple disparate sources and visualizing relevant information in an immersive, 3D environment. Beast Core is containerized and meets approval at Impact Levels 2, 4, 5, and 6. It is authorized to operate across multiple DoD networks, available in DoD’s Iron Bank repository, and can be deployed across various environments, including cloud-based, on-premises, and disconnected devices, achieving a TRL of 9. With a focus on performance and reliability, users can access their data from anywhere in the world, including DDIL environments.

Beast Core’s immersive 3D environments for physical systems are designed to be compatible with government-furnished equipment. Beast Core can digitally convert an organization’s data (i.e., traditional print materials, PDFs, and 2D technical documentation) and transform it into a 3D digital twin, integrating seamlessly with other applications through open architecture. This lightweight representation is easily distributed to end users who are connected with existing logistics systems. Utilizing AI, Beast Core makes documents searchable, parsing text to create hyperlinks to 3D models. Beast Core also integrates with various commercial products, including PLM and MBSE solutions, predictive analytics, AI, and IoT software suites, providing users with real-time updates through a comprehensive digital technology ecosystem.

Problem Statement:

1. Make Data Visible – Consumers can locate the needed data.
2. Make Data Accessible – Consumers can retrieve the data.
3. Make Data Understandable – Consumers can recognize the content, context, and applicability.
4. Make Data Linked – Consumers can exploit data elements through innate relationships.
5. Make Data Trustworthy – Consumers can be confident in all aspects of data for decision-making.
6. Make Data Interoperable – Consumers have a common representation/ comprehension of data.
7. Make Data Secure – Consumers know that data is protected from unauthorized use/manipulation.