Sumaria Labs
Advancing next‑generation capabilities through applied research, rapid prototyping, and disciplined experimentation that accelerates innovation from initial concept to mission‑ready solutions. Our commitment to national defense is rooted in a clear purpose: to develop and deploy advanced technologies that support the aerial warfighter across dynamic operational environments.
Model-Based Systems Engineering
We employ modern Systems Modeling Language (SysML) tools, including Cameo, to support the specification, analysis, design, verification, and validation of DoW weapon systems. Our systems engineering experts develop authoritative system models that serve as a single source of truth, improving traceability, exposing dependencies, and reducing errors and inconsistencies inherent in document-centric approaches. These models enable rigorous technical analysis, informed trade decisions, and lifecycle alignment from requirements through sustainment.
AI-Powered Graph Analytics & Knowledge Engineering
Our teams use AI-powered graph analytics to transform structured and unstructured data into connected, machine-interpretable knowledge graphs. Artificial intelligence is applied during data ingestion and parsing to extract entities, relationships, and context from diverse sources including documents, reports, sensor outputs, and program data. Once constructed, knowledge graphs are analyzed using advanced graph analytics and analytical algorithms to identify relationships, dependencies, patterns, and influences across complex DoW problem spaces. These methods inform subject matter experts (SMEs) by highlighting what the data indicates, surfacing meaningful connections, and framing questions that warrant deeper analysis.
Modeling, Simulation, and Analysis
We conduct rigorous modeling, simulation, and analytical assessments to evaluate system behavior, mission effectiveness, and risk across engineering and operational contexts. Our team leverages Advanced Framework for Simulation, Integration, and Modeling (AFSIM) to execute high-fidelity, campaign-level and engagement-level analyses, enabling the assessment of weapons, sensors, platforms, and command-and-control constructs in contested environments. In addition to AFSIM, we employ physics-based hydrodynamic and material models to analyze heat transfer, chemical kinetics, and structural behavior, as well as complementary simulation frameworks for system-of-systems and mission thread analysis. Our technical SMEs support engineering trade studies, sensitivity and uncertainty analysis, performance assessment, and comparative evaluation of alternatives, providing defensible analytical insights to inform acquisition, design, and operational decisions.
Data Integration and Visualization
Our experts develop dashboards, visual data products, and shared information spaces that enable clear understanding and informed decision-making. Using tools such as Power BI, Tableau, and Confluence, we present complex data in intuitive visual formats tailored to technical teams, program leadership, and senior decision-makers. Our approach focuses on delivering consistent, decision-relevant views that align stakeholders around a shared understanding of the data. We develop visual products to support briefings, reviews, and executive decision forums by enabling rapid comprehension of performance, risk, relationships, and trends without distorting the underlying data.
Network Digital Twins
We develop high-fidelity Network Digital Twins using vendor-provided operating system images from platforms such as Cisco, Juniper, and Palo Alto to replicate enterprise-scale DoD networks. This capability enables architecture evaluation, cyber defense experimentation, incident response rehearsal, configuration testing, and lifecycle sustainment analysis. The Network Digital Twin functions as a secure sandbox for deploying and validating patches, updates, and configuration changes prior to operational release. Our approach allows full-scale testing without taking portions of the network offline, reducing risk to mission-critical operations while accelerating design, security, and maintenance decisions.
