“HumAI × NEMO × Kraken: The Non-Repudiable Orchestration Layer for Defence AI.”
Where human cognition acts as the HQPU, GPU inference as the operational logic, and Kraken validation as the quantum trust anchor.
🔹 Context
Following the breakthroughs in IBM’s Defense AI Model and SEEQC + NVIDIA Quantum-to-GPU interconnects, the BPM RED Academy × NexGen Cloud team is unveiling a complementary, sovereign framework — BPM_DEA_NEMO — engineered for Defense, Enforcement, and Credentialing environments that require verifiable human-AI orchestration.
🧠 1. Overview
Model ID: BPM_DEA_NEMO
Base model: Meta Llama-3.3-70B-Instruct
Environment: NexGen Cloud – Hyperstack (AI Studio)
Fine-tuning method: LoRA (rank 32, α 64, dropout 0.05)
Dual-domain capacity:
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NEMO Investigator: law-enforcement case reasoning and prosecutable-evidence analysis
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DEA Standards Coach: defense readiness and effort-based credentialing
Validation loss ≈ 0.09 — demonstrating real-time cross-domain stability across investigative and compliance data streams.
🛡️ 2. Mission Alignment: AI × Quantum × Human-GPU Trust
Traditional Defense AI emphasizes speed and containment.
BPM_DEA_NEMO expands that horizon by integrating:
| Layer | Function | Security Model |
|---|---|---|
| HumAI Kernel (HQPU) | Human-in-the-loop orchestration | Cognitive Quantum Optimization |
| GPU Execution Layer | Tactical inference + data fusion | Zero-trust audit trail |
| DEA_NEMO Contract Loop | JSON-based credential & evidence validation | Post-Quantum Cryptographic compliance |
Together they form a Human-GPU-Quantum convergence layer — a trust architecture where human intent acts as a living QPU, synchronized with GPU inference and cryptographically verifiable outputs.
⚙️ 3. Technical Achievements
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Sub-0.1 validation loss with dual-profile LoRA fine-tune
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3× improvement in training/validation generalization over baseline
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Strict JSON contract enforcement across both domains
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Integrated latency testing (batch = 8) shows low-latency inference readiness
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Supports LoRA modular deployment via Hyperstack CLI or NVIDIA NGC private registry
🧩 4. Strategic Relevance
BPM_DEA_NEMO demonstrates a practical path toward B2G (Business-to-Government) integration, replacing the slow, siloed logic of projects like EUPA4BiH with live, sovereign AI loops validated on GPU edge systems.
Where most defense models aim for containment, NEMO aims for orchestration — embedding trust at the protocol level between human decision, AI inference, and quantum-secure verification.
🧭 5. Next Steps
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Pilot rollout with Defense & Enforcement institutions (Q1 2026)
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Integration with BPM RED Dashboard for effort-based credentialing
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NVIDIA NGC registry submission under dual-domain category
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IP filing under “Dual-Use Military-Grade AI” (Sport-Tech × Defense)
🚀 Conclusion
BPM_DEA_NEMO = Defense-Grade AI + Quantum Verification + Human Orchestration.
It marks a paradigm shift from “AI as assistant” to “AI as sovereign partner” in national readiness, mission validation, and psychophysical credentialing.
BPM RED Academy × NexGen Cloud
Human-GPU Convergence for Defense Integrity