NeurIPS 2023 Published · Patent-Listed Inventor · TS/SCI
AI built for networks that don't trust the internet.
ChatGPT, Claude, and every major commercial LLM phone home on every token. That's a non-starter in a SCIF. We build for air-gapped enclaves and disconnected networks where every dependency is a liability — and our principal scientist published at NeurIPS 2023 on the architectures that make it work.
Book Requirements WorkshopNeurIPS 2023 · Patent WO2023220583A1 · CAGE 10S34
AI × Cybersecurity: The Convergence Model
Separate AI and cybersecurity contracts mean separate debug cycles and finger-pointing when integration fails. Our engineers do both — same team, same clearances. The result: threat detection that understands the network it protects, and security architecture designed around the AI it runs.
- Anomaly detection trained on your actual traffic patterns — not generic baselines.
- ML inference inside IL5 enclaves without phoning home.
- Adversarial ML testing before your models hit production.
Select a domain to explore capabilities
- CMMC & SOC 2 Certification Assistance
- Penetration Testing
- Vulnerability Research
- 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
- Large-Scale RAG & Pipelines
What We Build
Cut the network cable and watch what happens to your AI vendor's product. No cloud callbacks. No package manager pulling dependencies at runtime. We engineer for that reality from day one.
Custom Model Development
Models trained on your mission data — not consumer-grade foundation models with a fine-tuning wrapper. Our NeurIPS-published team builds architectures from scratch when the problem demands it.
Disconnected AI Ops
Model versioning, inference pipelines, and lifecycle management that work without reaching the internet. Optimized for the hardware and network topology you actually have.
Agentic Workflows
Multi-step AI agents that process, decide, and act — with human-in-the-loop checkpoints at every decision point. Confidence scoring, audit logging, and review triggers built for the tempo your mission runs at.
RAG & Data Pipelines
Retrieval-augmented generation across classified document corpora. Ingest, chunking, embedding, and query — with audit trails and access controls baked in from the start.
Sixty minutes. Your mission, our whiteboard.
The requirements workshop starts with your network topology, your data classification, and your latency constraints. No slides. No demos. Just engineering on a whiteboard.