Federal & State AI Solutions
Responsible AI agents for healthcare, fraud detection, and federal data pipelines — validated against NIST AI RMF and executive order frameworks.
What We Deliver
Technical capabilities engineered for federal compliance, scalability, and measurable mission outcomes.
Machine Learning & MLOps
End-to-end model development, training, validation, and deployment pipelines with continuous monitoring and retraining in FedRAMP-compliant environments.
Natural Language Processing
Document understanding, entity extraction, sentiment analysis, and conversational AI tuned for federal regulatory language and healthcare terminology.
Computer Vision
Image classification, object detection, and document OCR systems deployed on-premise or in GovCloud with IL4/IL5 data handling.
Predictive Analytics
Forecasting models for claims fraud, resource allocation, beneficiary risk scoring, and program integrity using supervised and unsupervised learning.
Responsible AI Governance
AI bias testing, model explainability (SHAP/LIME), algorithmic impact assessments, and compliance with EO 14110 and NIST AI RMF.
Generative AI Integration
Secure deployment of large language models within federal boundaries — RAG architectures, prompt engineering, and guardrails for government use cases.
Federal Use Cases
Real-world deployments across federal and state agencies demonstrating measurable outcomes.
AI-powered claims analytics and fraud detection across Medicare and Medicaid programs, processing 500M+ transactions annually.
Natural language processing for taxpayer correspondence automation, reducing manual review time by 60%.
Computer vision and sensor fusion for logistics optimization and predictive maintenance across military installations.
Common Questions
We support TensorFlow, PyTorch, scikit-learn, and Azure ML within FedRAMP-authorized environments. Our MLOps pipelines integrate with AWS SageMaker and Azure Machine Learning for continuous model training and deployment.
Every AI solution undergoes algorithmic impact assessment aligned with NIST AI RMF, Executive Order 14110 guidelines, and agency-specific AI governance policies. We implement model explainability, bias testing, and continuous monitoring.
Yes. AGT holds DoD Facility Clearance and can deploy AI/ML models in IL4/IL5 environments using on-premise or GovCloud infrastructure with full STIG compliance.
We implement Retrieval-Augmented Generation (RAG) architectures with agency-controlled data sources, prompt guardrails, human-in-the-loop validation, and full audit logging to ensure responsible use in federal contexts.