Our Services
Roessling Digital Solutions LLC (RDS) delivers architecture, engineering, and technical leadership services for aerospace, defense, and government clients. All solutions are grounded in industry standards (TOGAF, DoDAF, UAF, SysML, UML) and tailored to program objectives, security mandates, and budget realities. Flexible contracting options include Fixed Firm Price, Time & Materials, and Labor-Hours. As a veteran-owned small business, Roessling Digital Solutions guarantees transparent communication, honest risk assessment, and reliable, on-schedule delivery trusted by government and prime contractors.
Architecture
Design
Implement, Deploy, Sustain
Roessling Digital Solutions LLC (RDS) architects strengthen client organizations by delivering practical architecture models and expert guidance—built around industry standards, direct communication, and partnership.
Key Models Delivered
Enterprise Architecture Models: Visualize how strategy, operations, data, and technology connect, using frameworks like TOGAF and DoDAF for clarity and scalability.
Mission Architecture Models: Map program context, dependencies, and system-of-systems for organizations with mission-critical objectives.
Solution Architecture Models: Provide clear blueprints and transition plans, collaborating closely with design engineering and security teams to ensure solutions are well-engineered, secure, and available.
Ethos Impact
Technical Rigor: Solutions are architected and communicated with clarity, focusing on security, readiness, risk, and measurable results.
Practical Delivery: Projects are scoped to real-world needs, security requirements, availability, and budget. Flexible engagement models guarantee timely, on-budget delivery.
Transparent Partnership: We work together from the very beginning to openly identify and address all expectations, risks, and constraints. At each stage, accessible and honest communication keeps everyone aligned and informed. Our models are shaped by broad consensus and genuine collaboration between business and engineering teams, ensuring all perspectives are reflected.
Collaboration
RDS architects work in close partnership with business architects, design engineering, and security teams. Feedback is exchanged openly and applied right away, allowing issues to be spotted early and resolved together as a team. This collaborative approach results in solutions that are robust, compliant, and shaped by the collective knowledge and priorities of all stakeholders.
Roessling Digital Solutions LLC (RDS) provides model-based system and software design services with an emphasis on technical discipline, model clarity, and traceability. Design activities are conducted by multidisciplinary teams using consensus to establish and document an agreed system context. All team members work from a common model to ensure alignment regarding both the as-is and to-be architecture, addressing program requirements and operational constraints.
Many organizations develop design models without fully utilizing underlying architecture models. Our process addresses this by linking Mission Architecture, Solution Architecture, and engineering design models. This integration provides design teams with early visibility into mission objectives, business requirements, system context, and capability allocations. Mapping requirements alone is insufficient for achieving system optimization or design robustness; broader model integration is required to manage complexity and inform decision-making.
The team produces standards-based design models, interface descriptions, and transition representations, using UAF, SysML, and UML. Support is provided throughout the full product lifecycle—including concept development, detailed design, and sustainment—to achieve maintainable and auditable design artifacts. Requirements traceability and parametric modeling are maintained as part of formal design engagements, in support of verification and validation per contract requirements.
Design documentation is precise and specific, facilitating transparent communication among program management, engineers, subcontractors, and external reviewers. Engagements are conducted in close coordination with clients to meet contractual expectations for security, schedule, and cost. RDS approaches each project with technical rigor, factual communication, and a commitment to accurate, actionable design output.
Implement
IT Systems Deployment
RDS uses standard frameworks and tools favored by the customer’s IT engineering teams. Deployment follows these models to ensure systems work as intended, support mission and business needs. Architecture and design models link decisions directly to stated objectives.
Digital System Product Life Cycle
The team applies model-based systems engineering (MBSE) to manage requirements, reliability, and performance across the entire product life cycle. Models help teams coordinate, clarify intent, communicate across disciplines, and maintain design consistency as conditions change. Parametric data and capability definitions pass from engineering into manufacturing. This improves manufacturing design accuracy and reduces the number of verification and validation cycles.
Software Systems Implementation (Code and Integrations)
RDS leads software teams directly and works with trusted partners when needed. Solutions are tailored for specific mission or business requirements. The aim is to deliver secure, compliant, and maintainable code, including integrations with existing systems.
Deploy
Deployments are planned to limit risk and disruption. Testing and validation are completed before rollout. RDS checks that systems meet readiness, compliance, and performance requirements before they go live.
Sustain
Support continues after deployment. Routine checks, updates, and troubleshooting keep systems working as expected. RDS addresses new requirements and problems as they arise, so deployed systems can adapt to changing mission and business needs.
Full Lifecycle Parametric Analysis and Analytics
Parametric analysis and analytics support decision-making throughout the system life cycle. For IT systems, RDS uses lifecycle cost analysis and performance assessment to evaluate options as requirements, costs, and system behaviors change over time. In digital system product development, parametric models track requirements, design attributes, and expected results from concept through end-of-life, ensuring that manufacturing stays aligned with design intent and reducing rework. For software systems, analytics and parametric testing allow the team to predict resource needs, find bottlenecks, and keep software maintainable as requirements evolve. This approach is foundational for Root Cause Analysis, Anomoly Investigation, Failure Resolution, Corrective Action or Root Cause Corrective Action. These analyits also enable optimization and ongoing evaluation.
Permissive, Non-permissive, and Hostile environments
Specialized Support
Our services are available as a mix of forward deployed, CONUS, and subcontracted capabilities.
When required security relationships are organized and directed by Roessling Security LLC.
AI-first
Roessling Digital Solutions LLC (RDS) integrates AI into every aspect of its operations and client services. Internally, AI is used to automate repetitive workflows, maintain data quality, and improve delivery speed—reducing manual tasks and increasing time spent on substantive problem-solving. For customers, RDS recommends, implements, and customizes AI capabilities to fit program objectives, security requirements, and workflow needs. This includes large language models LLM for process automation and code/model generation. Retrieval-Augmented Generation RAG to increase context accuracy and model evaluation. AI tools are selected and configured for measurable, practical improvements. The approach is straightforward: AI is leveraged for accuracy, relevance, and operational benefit, with clear documentation and transparent results provided for government and contractor programs.
Roessling Digital Solutions has access to several specialized resources depending on availability and the nature of the project these resources may be available to support your needs.
PHD Cognitive Science (RPI), Human machine interactions and spatial reasoning
PHD Ontology (UB), Ontological Realism, BFO/CCO
Health Care Integration Architect, HL7, FHIR, SNOMED CT, LOINC, …
Custom software and systems integration development done in collaboration with our partners