Public engineering firm profile
Belcamp, MD
AI You Can Trust When Failure Isn't an Option
Ad hoc Research Associates LLC is a software and defense engineering practice that develops DarkStax, an operational platform where digital twins, cognitive agents, and governed workflows converge. It provides autonomous decision support, cyber range and adversarial simulation, infrastructure automation, and AI assurance and validation services to help organizations test operational consequences before deploying systems in high-stakes environments.
Builds and maintains living digital twins of missions, networks, infrastructure, and operational systems across mixed-fidelity environments.
Deploys cognitive agents that execute workflows, finite state machines, and directed graphs bounded by explicit execution models.
Tests AI models inside operational digital twins before deployment to validate behavior against realistic scenarios and adversarial conditions.
Provides virtual cyber ranges for high-impact training, cyber experimentation, and active scenario simulation.
Provides formal testing and evaluation for complex network-centric C4ISR systems to verify performance metrics.
Defense Cyber Training Organization | Defense
Delivered a high-fidelity digital twin and low-code scenario orchestration solution that reduced setup times and provided white cell operators with real-time control over red, blue, and grey activity during training exercises.
View project sourceU.S. Air Force Cyber Stakeholder | Defense
Developed an adaptive adversary simulation within a realistic range environment. The solution replaced static attack playbooks with evolving tactics that react dynamically to defender actions.
View project sourceArmy C5ISR Laboratory | Defense
Replicated complex tactical and C2 networks in a controlled digital twin environment, enabling multi-node test scenarios, system interaction validation, and mission thread execution before deployment.
View project sourceArmy AI Innovation Stakeholder | Defense
Created a secure AI sandbox to generate synthetic data, test model behavior, and validate AI-driven workflows without exposing sensitive operational systems.
View project sourceU.S. Based Telecom Operator | Telecommunications
Supported AI operationalization efforts through platform-driven modeling, testing, and decision workflow support, enabling faster transition from experimentation to production.
View project sourceGlobal Telecom Operators | Telecommunications
Helped network teams test telecom network changes and AI-driven predictions in a virtual environment, reducing rollout risk and improving operational resilience before production deployment.
View project sourcePlano, TX