TS/SCI cleared · Princeton AI Research · NeurIPS 2023
AI that ships to the hardest networks on earth.
Custom models, agentic workflows, and petabyte-scale pipelines — engineered for airgapped, classified, and contested environments.
Book Requirements WorkshopPrinceton AI · Leidos Accelerator · Reuters / CNN / NBC
AI × Cybersecurity: The Convergence Model
We do both. AI and cybersecurity, same engineers, same programs. When those disciplines share a team you stop making tradeoffs between them. Threat detection that learns. Models that run in classified enclaves. ML hardened against adversarial attack.
Select a domain to explore capabilities
- CMMC & SOC 2 Certification Assistance
- Penetration Testing
- Exploit Development
- Software Hardening & Auditing
- AI Model Poisoning Detection
- Secure Airgapped Deployment
- Anomaly Detection
- AI-Assisted Reverse Engineering
- Custom Model Development
- AI Ops & Infrastructure
- Agentic Workflow Creation
- Petabyte-Scale RAG & Pipelines
AI / ML Capabilities
Commercial AI breaks in classified networks — no internet, no cloud APIs, no live training data. We build for airgap isolation and zero external dependencies from the ground up.
Custom Model Development
Purpose-built ML models trained on mission-specific data. Not fine-tuned consumer products — ground-up architectures.
AI Ops & Infrastructure
Model lifecycle management, inference optimization, and deployment pipelines for environments without internet access.
Agentic Workflow Creation
Autonomous AI agents that execute multi-step operational workflows with human-in-the-loop governance.
Petabyte-Scale RAG & Pipelines
Retrieval-augmented generation at intelligence community scale. Ingest, process, and query across massive classified datasets.
Build AI That Deploys Where It Matters
From custom model architectures to petabyte-scale pipelines — the requirements workshop is where your mission becomes our engineering problem.