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Las Vegas NV, 89120 | (702) 333 2345

Engineering

Software Engineering, Agentic Generative Artificial Intelligence, Machine Learning Analytics, and Application Deployment,

are critically important for the Government as they underpin the modernization and strategic advantage of National capabilities. Advanced software engineering enables the rapid prototyping, development, integration, and deployment of secure, resilient, and scalable defense applications; from mission planning to autonomous systems. Meanwhile, artificial intelligence and machine learning empower the DoD to process vast amounts of data for real-time decision-making, predictive maintenance, threat detection, and autonomous operations across land, air, sea, and cyberspace. Together, these technologies are transforming defense capabilities, accelerating innovation cycles, and ensuring that the DoD remains agile and dominant in increasingly complex, multi-domain environments.

For over a decade, GC2IT has been developing user-interactive applications with near-real-time data-driven cartography and cloud-deployable software segments.  The engineering team is well-versed in Windows .NET (C++, C#) and cross-platform (Java and Python) environments.  GC2IT engineering comprehends a wide scope of computer science fundamental skills including bit-level manipulation, numerical analysis, data link layer (and above) network programming, inter-process communication (IPC), big-data streaming analytics, enterprise service-oriented architecture, message broker and distribution, cryptographic protocols, and application programming interface (API) development and standardization.  GC2IT graphical user interface (GUI) applications are programmed in Java and JavaFX guaranteeing consistency and platform compatibility. 

In addition to supporting and integrating widely used online mapping platforms such as Google Maps and Mapbox, GC2IT also develops its own standalone, cross-platform cartography application specifically engineered for environments where internet connectivity is unavailable or restricted. Unlike traditional web-based mapping tools, GC2IT mapping application operates in disconnected environments without reliance on external servers, making it ideal for secure, tactical, or remote operational settings. It is extremely lightweight yet data-rich, optimized for performance in constrained hardware environments while supporting complex geospatial visualization and provides full support for consuming KML and Shapefiles, ensuring seamless integration with geospatial data standards, for high-fidelity data visualization

GC2IT works with National Security Agency (NSA) raise-the-bar (RTB) accredited cross-domain solutions (CDS) hardware vendors to secure each of the input data sources at all necessary up-stream and down-stream junctions to enforce security classification, owner-domain protection, and cyber isolation as required by customers.  The CDS can support simplex, data feed diode, or duplex, if bi-directional required, modes of communications.  GC2IT also collaborates with the CDS suppliers on developing digital translation software applications for message validation and exchange compliances.  GC2IT continues to push the technology boundary with its latest innovative CDS-As-A-Service product taking the traditional stovepoped CDS, where each hardware is fixed with predefined access mechanism, data path, and message scheme, to a (hybrid) cloud-based, multi-client, and service-based infrastructure.  The As-A-Service architecture maximizes the usability of any CDS hardware, and at the same time, enables multiple users to establish independent cross-domain capabilities without the expensive hardware upgrades.

At GC2IT, we specialize in fusing multiple data sources into a unified, actionable picture for unmatched Command and Control, empower National defense capabilities with seamless data integration.  Our secure, scalable integration solutions enable real-time intelligence sharing across platforms, enhancing situational awareness and accelerating decision-making in complex operational environments.  Utilizing our NSA RTB MLS gateways and data normalization and correlation and techniques, GC2IT is experienced and capable of integrating data of each data ingest pipeline of different characteristics, formats, contexts, and domains of all security enclaves.  In addition to open-source data such as ADS-B, AIS, ASTERIX, AFTN, DIS, we also interoperate and ingest MIL-STD messages covered in 1553 (Bus), 3011 (JREAP), 6016 (TADIL J), 6018 (CMF), 6020 (forwarding), and 6040 (USMTF).

GC2IT leads the industry in the development of object-based modeling and tracking algorithms. Unlike traditional methods, object-based modeling formulates all descriptive things as an object independent of specific attributes such as time and location.  For example, an object can be an event, a geographic area, a person, or an action.  The decoupling of key attributes and the ability to free-form any objects allows for the asynchronous correlation of dissimilar information and enables object properties to be evaluated independently based on the weighted categories.  An object has minimally three major categories correlated independently: attributes, kinematics, and classification. The aggregates of each category’s analytics determine the overall object confidence and identification. To support object-based modeling, GC2IT employs a narrow-scope normalization process to all incoming data independent of content.  All sources are initially normalized to deduce category-relevant information in advance of any analytics and correlations ensuring the proper representation of contextual information.  This allows for rapid, precise data processing irrespective of the technical details of the source data, providing immediate results in analyzing information across the spectrum of data formats and modalities.

In conjunction with object-based data modeling, GC2IT has extensive expertise in data correlation algorithms, normalizing based on contextual, attribute, and kinematic modeling and extraction, assimilating objects with independent temporal and datum characteristics.  GC2IT uses internally developed multi-hypothesis algorithms to generate and represent combinations of possible object truths then applies big-data streaming analytics on all associated normalized input sources to compute the weighted score for each hypothesis.  Finally, the correlation algorithms ingest these numerical scores and construe conclusions.  GC2IT consistently works with academia and operations experts to develop, program, and automate numerical methods and human cognitive tradecrafts to be used as standardized analytic models.  GC2IT also ensures all models are deterministic so it generates predictive results suited for regression validations. GC2IT’s current repository contains the following analytics: Kalman filter, K-means classifier, multi-observer association, pedigree and provenance tracking, combat identification, point-of-origin, activity modeling, and various kinematic motion models.  GC2IT also implements several machine learning applications that utilize the combination of rule-based expert systems, supervised learning, and/or statistical features-engineering algorithms as part of working towards Artificial Intelligence emergence. 

The Traditional data lakes and relational databases are becoming the critical limitation factor supporting the modern deep learning artificial neural networks (ANN).  GC2IT, an active developer of ML and GenAI capabilities for US DoD, Department of State (DoS), and Department of Justice (DoJ), overcomes this limitation by further incorporating databases of different characteristics, such as graph and vector, to directly improve attribute association and relationship mapping offering transformative approaches to features engineering and ultimately improves ANN accuracy.  In addition to the traditional ANN, GC2IT also implements and incorporates graph neural networks (GNN), relational graph convolution networks (R-GCN), and Siamese neural networks (SNN) for establishing node relationships with interconnections, exploring multi-relation edges, sharing subgraphs, and matching comparable vectors.  For GenAI, GC2IT implements and fine–tunes LLaMA2 LLM that generates specific language contexts, based on individual project objectives, of the results of the prescribed neural networks.  The LLM will greatly aid the end-user on understanding ANN results in plain-text with application-specific pre-trained tokens. 

Theater Operationally Resilient Command and Control (TORCC, https://torcc.gc2it.com/), GC2IT’s most proliferated and recognized product deployed in multiple operational theaters, is the pinnacle of GC2IT system-of-systems integration.  Based on the standing US DoD mission and mobility requirements, GC2IT engineering team develops open architectures and utilizes modern integration technologies that not only improve the overall command and control (C2) capabilities but also miniaturize the overall hardware suite to be hand-portable and quick-deployable into operational zones.  Traditionally, C2 systems are bulky, complex, power-hungry, mixtures of multiple operating systems, and require fixed network access for datalink and sensor inputs; these characteristics often result in legacy C2 systems being stationary with fixed workstations and staged in a large confined space.  GC2IT, in conjunction with capability providers, resolves and overcomes the legacy C2 issues by creating a hybrid-cloud implementation with hypervisors for redundancy and consolidating multiple operating systems, thin-clients virtual desktop infrastructure (VDI) for application access, network-attached storage (NAS) for collaboration, RTB CDS for data protection, reach back access for resiliency, custom-configured managed switches for data security, and real-time logging and analytics for security compliance. 

Information Assurance and Cyber Security – GC2IT engineering not only delivers the highest quality of applications and integrated products but also ensures it meets industry cyber security and information assurance guidelines.  Depending on customer’s requirements for security compliances, GC2IT develops baseline configurations for the hosting physical and virtual servers and workstations that will include the implementation and maintenance of security standards, most notably DISA security technical implementation guides (STIGs) and Information assurance vulnerability alert (IAVA).  Furthermore, for all applications and systems deploying onto the DoD networks, GC2IT is knowledgeable in developing risk management framework (RMF) packages for [interim] authority to operate (ATO) security assessment submission.  GC2IT has the experience and internally maintains security information and event management (SIEM) toolsets, required by RMF, to provide operators with on-demand threat analysis, detection, and responses. GC2IT develops system security plans (SSP) outlining configurations and best-practices system security upkeep requirements, to include updating and back-up of virtualized systems, security patches and bug fixes timelines, and steps for troubleshooting and resolving any issues related to the integrated system.