Mission-Grade Artificial Intelligence for the Next Era of National Readiness
OMNI AI Aegis unites OMNI’s proven DevSecOps, cloud, and platform expertise with next-generation AI to create intelligent, auditable systems that advance defense, homeland security, and other federal modernization missions.
The United States is executing an unprecedented modernization push: integrating digital autonomy, trusted decision systems, and secure data pipelines that extend from strategic command centers and headquarters to the tactical edge and field.
OMNI AI Aegis is built to support this transformation across four focus areas:
- Mission Autonomy & Defense Modernization — AI systems that empower operators with predictive insights, anomaly detection, and decision superiority.
- Secure Identity & Border Systems Modernization — AI-driven analytics that reinforce trust, privacy, and situational awareness for large-scale identity, credential, and access programs.
- Federal Workforce & Readiness Transformation — Intelligent platforms that enable adaptive learning, credential adjudication, and clearance automation, building the 21st-century digital workforce.
- Edge-to-Enterprise Integration — Architectures that allow models and data to flow securely between cloud, classified, and disconnected environments.
AIML Driven Enhanced Data Solutions
OMNI delivers AI-driven data capabilities that improve the speed, accuracy, and reliability of mission systems. Our solutions automate data understanding, strengthen analytic insight, and embed governance and security directly into enterprise data flows.
- AI-Assisted Data Tagging, Enrichment & Validation – We automatically classify, enrich, and quality-check structured and unstructured data using mission-specific ontologies, multi-modal models, and human-in-the-loop validation, producing clean, consistently labeled datasets with verifiable provenance that are ready for operational use.
- AI-Based Analysis, Fusion & Anomaly Detection – We provide real-time analytics pipelines that correlate multi-source data, detect anomalies, extract entities and relationships, and generate predictive insights so operators can identify threats, outliers, or mission opportunities faster than traditional analytics. We leverage our User Centered Design (UCD) methodology to ensure that relevant data is presented in an intuitive manner that improves mission effectiveness.
- LLM Governance, Compliance & Zero-Trust Security – We integrate LLM governance with enterprise ICAM and Zero Trust controls, applying policy-as-code guardrails, secure retrieval layers, and continuous model validation to ensure AI systems remain compliant, auditable, and deployable in high-assurance environments.
Model Engineering & AIMLOps
- Model classes:
- Predictive (logistics, readiness, threat detection)
- Generative (LLM-based summarization and document synthesis)
- Graph ML (entity resolution, relationship inference)
- CV (object recognition from ISR or border-security imagery)
- End-to-end pipeline: training (PyTorch/TensorFlow + Ray), registry (MLflow/SageMaker), CI/CD (Argo, Jenkins), deployment (KServe/Seldon).
- Monitoring: continuous-integration of telemetry, drift detectors, and model red-team scoring.
- Explainability: SHAP/LIME + domain-specific causal inference models.
Generative AI (LLMs)
- Secure RAG stacks on classified or GovCloud environments with vector-database retrieval (pgvector/OpenSearch).
- Fine-tuned LLMs for case triage, intelligence report drafting, or training content summarization.
- Policy-aware prompting and audit-logging for compliance and reproducibility.
- Full support for air-gapped LLM serving and human-in-loop verification.
Edge & Hybrid Architecture
- Airgapped AI/ML systems that allow customers to perform configuration/setup tasks more effectively
- Edge-based cyber hunt ‘wingman’ that assists with defensive cyber operations & cyber hunt, even in the most restricted / locked-down environments
- Cloud connectors (AWS GovCloud, Azure Government) with IL-level compliance inheritance.
- Data synchronization across tactical and enterprise nodes via secure publish/subscribe and hash-verified deltas.
Lifecycle & Governance
- Model lifecycle management: version control, lineage, retraining policies, reproducibility.
- Compliance with DoW RMF, FedRAMP High, NIST SP 800-53/800-171, and DoW AI Ethics Principles.
- Continuous evaluation dashboards displaying accuracy, drift, bias, latency, and compute efficiency.
How to Engage OMNI
OMNI leads with a simple principle: AI is only valuable when it directly improves mission outcomes. Every engagement begins with a user-centered design (UCD) assessment that maps how analysts, operators, adjudicators, maintainers, or warfighters actually perform their work today. We identify the mission decisions, friction points, data dependencies, and security constraints that define real operational effectiveness. From that baseline, we isolate where AI can create measurable impact, not hypothetically, but in concrete workflows such as targeting, vetting, case management, logistics, threat detection, or readiness operations.
Mission AI Advisory
- Assess mission workflows, data maturity, and security posture.
- Define AI roadmaps consistent with agency modernization mandates and emerging readiness doctrines.
- Deliver architecture diagrams, ROI projections, and actionable compliance plans
Model Development & Integration
- Build and validate AI models tailored to defense, security, or workforce missions.
- Integrate models with legacy C2, ERP, or clearance-adjudication systems through secure APIs.
- Provide configuration-as-code and containerized deployments for reproducibility.
AIMLOps & Governance Enablement
- Implement DevSecOps pipelines (GitOps, Jenkins, Argo) with automated scans, SBOMs, and audit artifacts.
- Establish model registries, explainability dashboards, and bias reports.
- Create repeatable evaluation harnesses for red-teaming and continuous improvement.
Edge Deployment & Sustainment
- Package and deliver models for disconnected operations on RedHound or partner hardware.
- Automate secure OTA updates and cryptographically verified retraining sets.
- Provide field telemetry integration and federated retraining pipelines.
Training & Human-Machine Teaming
- Develop adaptive learning modules on OMNI’s Digital University platform.
- Equip analysts and operators with AI-assisted workflows, contextual copilots, and interpretable-AI dashboards.
Our Technology & Partner Ecosystem
Core Platforms
- Claude for Government (AWS Bedrock GovCloud) — LLMs deployable at FedRAMP High for internal and IL5 workloads.
- ChatGPT Gov (Azure Government) — GPT-4 family models under U.S. Gov boundary for IL4/IL5 cognitive assistants.
- Blueprint — DoW-accredited container platform underpinning AI deployments within secure enclaves. Secure DevSecOps backbone for identity adjudication and credential automation
- OMNI RedHound — field-deployable AI/analytics node for disconnected or contested environments.
- OMNI Dorado: MLOps pipeline tool that ensured that ML solutions are trained, benchmarked, and are able to be seamlessly integrated into applications
- OMNI megastar: OMNI’s transformative generative AI solution, designed to accelerate document creation, enhance collaboration, and optimize compliance.
OMNI AI Automation Mission Use Cases
- megastar – Through Generative AI, megastar is OMNI’s transformative generative AI solution incorporating “Human in the loop” approach designed to accelerate document creation, enhance collaboration, and optimize compliance. Built for defense and intelligence agencies, megastar as an initial use case empowers acquisition teams to meet mission demands with speed, precision, and transparency.
- Astoria – A cutting-edge metadata management solution from OMNI, takes the guesswork out of legacy processes to harness the full power of your data to drive informed decision-making. Astoria connects the dots, providing a scalable and adaptable metadata management solution to navigate complex data efficiently and deliver positive outcomes for mission-critical processes. Astoria is the essential solution for organizations striving to elevate data labeling, visibility, accessibility, and AI/ML development.
- Use Case: Army Voice of the Soldier – In partnership with Army PEO-Soldier, OMNI applied our core AI Automation capabilities to the Army’s problem of assessing the effectiveness of training exercises. We leveraged Astoria and Megastar to ingest unstructured training data, including audio recordings, exercise imagery, and interview transcripts to identify patterns and trends in their training exercises – providing them with insight that helps them better equip their soldiers and increase effectiveness and lethality.
- Use Case: Human-Machine Teaming for Battle Management – Working with AFRL, OMNI leveraged our data and AI building-blocks to improve operator effectiveness in battle management scenarios. We ingested a wide range of unstructured and structured data streams and used agentic AI to evaluate scenarios and propose potential courses of action in a way that reduces cognitive load on operators.
- Use Case: Financial Fraud Detection – OMNI leveraged our AI-assisted data tagging capabilities to analyze massive amounts of corporate communication data to identify and detect fraud. Leveraging megastar’s AI to identify fraudulent intent, evasiveness, and potential illegal activity across millions of unstructured records, we are able to help analysts and researchers cut through the noise and identify key data patterns more effectively.
What’s Next for OMNI AI
OMNI AI Aegis positions OMNI as a cornerstone partner in the government’s journey toward trusted, explainable, and resilient AI. Our trajectory emphasizes:
- Autonomous mission operations that enhance deterrence and defense readiness.
- Data sovereignty and digital trust, ensuring information integrity across domains.
- Human-centric AI that strengthens—not replaces—the federal and defense workforce.
- Continuous compliance with evolving NIST, DoW, and OMB directives.
