Active Engagement · 2026 – 2028

Sub Contractor | DoD/DISA

Artificial Intelligence engineering and emerging technology support focused on secure GenAI, agentic AI, RAG, AI/ML technology evaluations, proof-of-concept development, cloud integration, AI security, and operational deployment within DoD mission environments.

Supporting the DoD / DISA mission through our prime contractor

We are thrilled to support DoD / DISA in AI engineering and emerging technology as a subcontractor through our prime contractor. Through this engagement, ProcessPilot Technologies contributes secure AI engineering, emerging technology evaluation, AI security, and mission-focused technical support in alignment with applicable federal and customer requirements.

Mission

Advance emerging AI capabilities with mission-ready engineering discipline.

Evaluate and advance emerging AI technologies that can improve mission capabilities while meeting Department of Defense requirements for security, interoperability, scalability, reliability, and operational readiness.

AI Engineering

Design and evaluate AI-enabled architectures involving LLMs, RAG pipelines, agentic AI, multi-step reasoning, tool orchestration, APIs, and secure enterprise integrations.

Core capabilities / scope

AI Engineering | AI Security | Cybersecurity | Emerging Technology | Federal Mission Support

Artificial Intelligence EngineeringGenerative AI / Large Language ModelsAgentic AI SystemsRetrieval-Augmented Generation (RAG)AI/ML Technology EvaluationProof-of-Concept DevelopmentEmerging Technology AssessmentAI Security EngineeringSecure AI ArchitectureNIST AI RMFZero Trust ArchitectureDoD / DISA Mission SystemsCloud & Hybrid AI IntegrationModel Evaluation & Performance TestingAI Governance & Risk ManagementDevSecOps IntegrationTechnical Architecture & DocumentationExecutive Technical Recommendations

Emerging Technology Evaluation

Structured technical evaluation for mission use.

Research new AI technologies and develop structured evaluation plans, technical assessments, demonstrations, prototypes, and proofs of concept.

Mission effectiveness
Accuracy
Groundedness
Hallucination risk
Security
Scalability
Performance
Latency
Integration complexity
Operational readiness
Cost
Maintainability

AI Security & Governance

Secure adoption from architecture through operation.

Support secure AI adoption through engineering controls, governance, risk management, and accountable human oversight.

Prompt-injection defense
Data-leakage prevention
Identity and access controls
Least privilege
Human-in-the-loop controls
Model and application monitoring
Logging and auditability
NIST AI RMF
NIST RMF
Zero Trust
Responsible AI
Secure GenAI deployment

DoD / DISA Integration

Mission-aware integration across cloud and hybrid environments.

Support the assessment and integration of AI capabilities into cloud, hybrid, and mission environments while accounting for authorization, cybersecurity, interoperability, architecture, and operational requirements.

Prototype to Production

Move from research to operational transition.

Support a disciplined lifecycle from initial evaluation through secure mission transition.

ResearchTechnology EvaluationArchitectureProof of ConceptTestingSecurity AssessmentMission EvaluationRecommendationOperational Transition

Controlled disclosure

Capability-level engagement information only.

Public descriptions of this engagement intentionally exclude classified information, sensitive government architectures, specific mission operations, government system vulnerabilities, controlled technical information, customer proprietary information, prime-contractor or customer proprietary information, and non-public models, systems, data sources, or architectures.

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