We integrate agentic systems into mission systems, under accreditation, under cost, on contract.
Foundation to mission, on accredited infrastructure.
Mission
Evaluation
Tools
Orchestration
Models
Foundation
Generative AI made models talk.
Agentic AI makes them act.
The hard problems are multi-agent problems: coordinating sensors, drafting decisions, handing context to humans at the right moment. We engineer them.
One mission goal. Several agents, sequenced.
A single “agent” rarely does the whole job. We compose narrow agents (one to plan, one to retrieve context, one to call tools, one to verify the output) and orchestrate them under a human-supervised checkpoint.
Two ways to keep humans in control.
Every agentic system we ship documents its loop posture: how the human stays in control. The choice is made per system, not per company.
Human-on-the-loop
AI acts. Human supervises.
The AI runs continuously and takes actions on its own. A human can intervene at any point but doesn't need to approve every step. Used when speed matters and individual actions are reversible.
Human-in-the-loop
AI proposes. Human approves.
The AI generates a proposed action but cannot execute it. A human reviews and explicitly approves each one before the system acts. Used when stakes are high and actions are hard to reverse.
Four pillars converge on one accredited core.
Each pillar is a family of narrow agents. They feed a shared multi-agent core that plans, acts, and verifies (all inside the accreditation boundary), then delivers into the mission systems you already run.
Where we apply agentic systems.
Pillar 01
Autonomous Cyber Defense
Multi-agent SOC augmentation. Continuous-monitoring agents triage events; investigation agents enrich with threat intel; response agents propose containment under human approval. Designed for accredited enclaves.
Use cases
- Autonomous threat hunt on RMF-accredited networks
- Agentic ATO artifact maintenance
- Predictive remediation queues
Pillar 02
Agentic Spectrum & Signal Intelligence
Multi-agent orchestration across EW, SIGINT triage, and SATCOM link management. A sensing agent classifies; a deconfliction agent resolves frequency contention; a reporting agent generates the operator brief.
Use cases
- ML-assisted SATCOM link reconfiguration under contested RF
- Agent-driven SIGINT pre-triage
- Spectrum deconfliction across coalition assets
Pillar 03
Autonomous C2 Decision Support
Agentic systems that compress C2 workflows (COA generation, mission planning, post-mission analysis) while keeping the human commander in the decision seat.
Use cases
- Agentic COA brainstorming for tactical planners
- Multi-agent wargaming on TTPs
- Post-mission narrative generation from sensor logs
Pillar 04
AI for Systems Engineering
Agentic systems that automate the tedious half of systems engineering: requirements decomposition, MOSA conformance checks, ATO artifact generation, test-case synthesis. The work our engineers already do, accelerated.
Use cases
- Agent-driven RMF artifact generation
- Requirements-to-test-case synthesis
- MOSA conformance checking on contract deliverables
Ten new AI services, each built on something Nexagen already does.
We're expanding the firm's offering with concrete, buyable AI services. Five foundation services extend the OrionHub / Orion AI Forge platform; five mission services extend our C5ISR, cyber, and systems engineering practices.
AI Engineering Foundations
Extending OrionHub · Orion AI Forge · Cloud-DevSecOps
Foundations · 01
ML Model Engineering
Training, fine-tuning, and evaluation of reasoning + classical ML models in accredited environments. Built on Orion AI Forge.
Builds on · Orion AI Forge
Foundations · 02
MLOps / Model Lifecycle
Model versioning, deployment, drift detection, and rollback under CMMI Level 3 configuration management. The DevSecOps discipline applied to models.
Builds on · Cloud-DevSecOps · Orion Code Arsenal
Foundations · 03
Synthetic Data Engineering
Generation of cleared synthetic datasets when real data is sensitive, sparse, or non-releasable. Auditable provenance end-to-end.
Builds on · Cloud Computing · Cybersecurity
Foundations · 04
AI Evaluation & Governance
Eval harnesses, change-control for prompts and tools, and documented loop-posture per system. CMMI Level 3 applied to AI.
Builds on · CMMI Level 3 process
Foundations · 05
AI Red Team & Adversarial Robustness
Adversarial prompting, jailbreak testing, prompt-injection defense, and model risk assessments before acceptance review.
Builds on · Cybersecurity · HACS (GSA MAS)
Mission AI Applications
Extending C5ISR · Cyber · Systems Engineering · Avionics
Mission · 06
Edge / Tactical AI
On-device inference for tactical edge: degraded-network tolerant, hardware-constrained, with ATO-friendly deployment patterns.
Builds on · C5ISR · RF Engineering · EW
Mission · 07
Computer Vision for ISR
Object detection, change detection, and target classification across FMV and sensor feeds. Pipelines tuned for ISR cadence.
Builds on · C5ISR · Intelligence / Surveillance
Mission · 08
Predictive Maintenance / CBM+
Anomaly detection and remaining-useful-life models for tactical platforms. Integrated with sustainment workflows.
Builds on · Avionics · Logistics SCM
Mission · 09
RAG over DoW Knowledge
Retrieval-augmented generation across DoW doctrine, SOPs, ATO packages, and contract artifacts, with citations and access controls.
Builds on · ITSM · Systems Engineering
Mission · 10
Agentic ATO / RMF Automation
Agents that author RMF artifacts, monitor ATO drift, and keep packages audit-ready between renewals. Human-in-the-loop at decision gates.
Builds on · RMF · FedRAMP · COMSEC
The platforms behind the work.
Two Nexagen products carry the Applied AI work into operations. OrionHub is the DevSecOps backbone. SoldierIQ is the AI-at-the-edge product that runs on it.
Evaluation is the unfair advantage.
01 / 03
CMMI Level 3 applied to AI evals
Process maturity is the moat. Our evaluation, change-control, and configuration management cover model behavior the same way they cover code.
02 / 03
Loop posture, named per system
Every deployment ships with a documented human-on-the-loop or human-in-the-loop posture. No ambiguity at acceptance review.
03 / 03
Red-team baked into delivery
Adversarial robustness and red-team harnesses are written into the SDP. Eval reports ship with the system.
Talk to our Applied AI team.
For teaming, capture meetings, or technical deep-dives on a specific mission set.