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+# Memoriant, Inc.
+
+**Verifiable AI for regulated industries.**
+
+Building compliance-focused language models, training datasets, and evaluation tools for the defense industrial base. Our models are purpose-built on fully auditable base architectures with complete training data provenance, designed for air-gapped, on-premises deployment in environments handling Controlled Unclassified Information (CUI).
+
+## What We Build
+
+| Product | Description |
+|---------|-------------|
+| **Compliance Models** | Purpose-built language models calibrated for CMMC 2.0, NIST SP 800-171, NIST SP 800-53, HIPAA Security Rule, DFARS, and FedRAMP guidance |
+| **Training Datasets** | Curated compliance Q&A from authoritative U.S. government publications, validated for regulatory currency |
+| **CMMC Expert Platform** | AI-powered compliance platform for defense contractors: SSP generation, gap analysis, POA&M drafting, evidence export |
+
+## Deployment Options
+
+| Option | Description |
+|--------|-------------|
+| **Cloud Enclave** | FedRAMP-compatible cloud infrastructure. No hardware purchase required. |
+| **On-Premises** | Dedicated customer hardware. Full data sovereignty, CUI remains on-site. |
+| **Air-Gapped** | Physically disconnected. For CMMC Level 3 and classified-adjacent environments. |
+
+All deployments use proprietary compliance AI with zero external API dependencies.
+
+## Open Source Contributions
+
+Active contributor to [NVIDIA garak](https://github.com/NVIDIA/garak) LLM vulnerability scanner. Building adversarial probes for testing LLMs deployed in regulated environments.
+
+## Links
+
+- **Platform:** [memoriant.ai](https://www.memoriant.ai)
+- **Contact:** info@memoriant.ai
+- **NVIDIA Inception Member**
+