Technical Delivery Capabilities
Mission-driven teams providing predictable execution, transparent reporting, and technical excellence.
Two Full-Spectrum Tracks
Different customer languages. Different acquisition rhythms. Same senior-led, AI-augmented delivery team. Pick the track that fits your program.
IT Modernization — Enterprise IT
For: commercial, federal civilian, VA, and IT modernization programs.
Full IT Lifecycle Coverage:
- 01Business Architecture — capabilities, process, strategy alignment
- 02Technology Architecture — EA, solution standards, technology roadmap
- 03Solution & Software Design — MBSE-for-IT, integration design
- 04Software Development — full-stack delivery, AI-augmented
- 05Deployment & Integration — multi-enclave, CI/CD, cutover
- 06IT Operations & Sustainment — ITIL-aligned O&M, continuous improvement
Past performance anchor: RTX Technology Research Center — Associate Director (2022–2025).
Explore IT Modernization →Defense Programs — Full Product Lifecycle
For: DoD, SOCOM, defense primes, and mission-critical programs.
Full Product Lifecycle Coverage:
- 01Mission Analysis & CONOPS — mission thread development, operational concepts
- 02Requirements & Capability Management — IEEE 29148, capability threads, traceability
- 03Architecture & Design — UAF, SysML v2, MBSE, SoS engineering
- 04Development & Integration — agent-mediated integration, modular development
- 05Test & Evaluation — software V&V, model V&V automation, compliance and security testing (in-house); range-based T&E partner pursuit in progress
- 06Fielding & Transition — deployment readiness, training enablement, transition packages
- 07Sustainment — field feedback, engineering change management, lifecycle support
Past performance anchor: Founder experience as Technical Lead on the Raytheon ACES Program ($22M, 13 resources, 2011–2016).
Explore Defense Programs →Shared Technology Capabilities
Cross-cutting capabilities that serve both tracks — the engineering spine behind every RDS delivery.
Role-specialized agent teams spanning architecture, engineering, analysis, compliance, and review. Multi-provider LLM integration (OpenAI, Anthropic, Azure OpenAI, Ollama) with provider-agnostic abstractions. RAG, cognitive safety, and prompt caching engineered into production for cost discipline. Operational in the Collaborative Machines platform and applied across customer deliveries in both tracks.
Backend (Python, FastAPI), frontend (React, TypeScript), polyglot data (PostgreSQL, Neo4j, MongoDB), containerization (Docker), cloud deployment (Azure Commercial and Azure GCC High). Nine production applications built in eight months with agentic AI engineered in throughout. Shared component library keeps delivery velocity high across engagements.
GitHub Actions CI/CD across all projects. Distributed tracing (OpenTelemetry), monitoring (Prometheus and Grafana), infrastructure-as-code (Terraform, Bicep), health checks, and incident response discipline. Security practices integrated throughout the pipeline — not bolted on at the end.
PhD-level cognitive science and human factors integrated into AI agent design and operator workflow research. Human-AI teaming (trust calibration, cognitive safety, bounded-rationality modeling), user research, and cognitive-load-aware UX for mission-critical interfaces. Led by Grace Roessling, Ph.D. — Director, Agent Cognition and UX / Human Factors (Cognitive Science, RPI; Postdoc Carnegie Mellon). See the Excellence pillar for detail and research-teaming opportunities.
Architecture Maturity Model
Before engaging, assess where your program's architecture practice stands today. Our five-level framework helps customers identify the shortest path from current state to competitive advantage — and frames the scope of engagement needed to get there.
Ready to Discuss Your Program?
Whether you are modernizing enterprise IT or leading a defense program through lifecycle milestones, start with a conversation.