| # Memoriant, Inc. |
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| **Verifiable AI for regulated industries.** |
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| 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). |
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| ## What We Build |
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| | Product | Description | |
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| | **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 | |
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| ## Deployment Options |
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| | Option | Description | |
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| | **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. | |
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| All deployments use proprietary compliance AI with zero external API dependencies. |
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| ## Open Source Contributions |
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| Active contributor to [NVIDIA garak](https://github.com/NVIDIA/garak) LLM vulnerability scanner. Building adversarial probes for testing LLMs deployed in regulated environments. |
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| ## Links |
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| - **Platform:** [memoriant.ai](https://www.memoriant.ai) |
| - **Contact:** info@memoriant.ai |
| - **NVIDIA Inception Member** |
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