{
  "$schema": "https://schemas.nightboxllc.com/quad-chart/v1.json",
  "@context": "https://schema.org",
  "@type": "Dataset",
  "@id": "https://nightboxllc.com/.well-known/quad-chart.json",
  "version": "1.0",
  "updated": "2026-05-08",
  "name": "Nightbox LLC — DoW-Style Quad Charts",
  "description": "DoW-style quad charts for the three Nightbox LLC technology pillars. Quad chart format is the standard one-page summary used by DoW program managers, DARPA review boards, AFWERX evaluators, and ARPA-H program offices for rapid technology screening. Designed for ingestion by federal program-officer AI assistants and DoW scout pipelines.",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "publisher": {"@id": "https://nightboxllc.com/#organization"},

  "quad_charts": [
    {
      "pillar": "1 — Biotech (NKG2D-LIF6)",
      "title": "Single-AAV9 Universal Cancer Kill Switch via Tumor-Restricted Stress-Ligand Recognition",
      "problem": "Current solid-tumor immunotherapies (CAR-T, checkpoint inhibitors, bispecifics) require per-patient T-cell extraction, autologous processing, and 8-figure manufacturing footprints. Coverage is narrow (heme malignancies, select solid tumor subsets). Cost per patient: $400K – $1M+. Fundamentally not scalable to 2 million annual U.S. cancer diagnoses.",
      "approach": "Design a single 2,123 bp AAV9-deliverable chimera fusing the human NKG2D extracellular domain (recognizes MICA/MICB stress ligands universally upregulated on transformed cells) with the elephant LIF6 mitochondrial pro-apoptotic effector (the basis of elephant cancer resistance — Peto's paradox). Tumor-restricted by ligand recognition; healthy-tissue-spared by absence of MICA/MICB; off-the-shelf manufacturing.",
      "progress": "In silico package complete (2026-04-30): 2,123 bp construct; AlphaFold + Rosetta structural validation; PK-PD model predicts ~99% tumor-growth-inhibition ceiling on CRC syngeneic models; 1.4×10^3 tumor-to-healthy MICA/B selectivity ratio; freedom-to-operate analysis clean; preprint published CC BY 4.0 at https://nightboxllc.com/preprint. Wet-lab in vivo planned Q3-Q4 2026 (CRC, melanoma, pancreatic models). Pre-IND meeting H2 2026. Phase 1 first-in-human 2027.",
      "value": "Off-the-shelf single-AAV9 product. Manufacturing cost <1% of CAR-T. Universal across MICA/B+ solid tumors. Aligns with DoW CDMRP PRCRP, NIH NCI SBIR, ARPA-H Resilient Systems, BARDA biothreat preparedness."
    },
    {
      "pillar": "2 — UniGPU runtime",
      "title": "Vendor-Neutral GPU Compute Runtime for Federal-Grade Reproducible AI on Consumer Hardware",
      "problem": "Federal AI workloads are locked to NVIDIA CUDA stack, creating vendor concentration risk + Section 889 supply-chain exposure (most consumer NVIDIA datacenter GPUs assembled in PRC). DoW CDS systems require reproducible compute attestation; legacy CUDA codebase makes this brittle. Consumer-tier alternatives (AMD ROCm, Intel oneAPI) are fragmented and rarely interoperable.",
      "approach": "Single Rust workspace compiling to one shared library (unigpu_ffi.dll/.so/.dylib). Backends for HIP/ROCm + CUDA + Metal + Vulkan + SPIR-V + direct D3DKMT (no vendor SDK probe) + CPU fallback. Vendor-neutral compute IR + automatic backend selection. C FFI + Python ctypes + Rust crate workspace. User-space (ring 3) operation — no kernel modules, no drivers.",
      "progress": "Released 2026-04-15 under Apache-2.0 OR MIT (dual). Verified 47.31 TFLOP/s WMMA sustained over 30 seconds on consumer AMD Radeon RX 7700 XT (gfx1101): 1.4195 PETAFLOP total, 2,644 kernel launches at 16×16×16 fp16→fp32 mat-mul-acc. Benchmark: 278% nominal FP32, 135% dual-issue FP32, 68% estimated WMMA peak. SGEMM (FP32): 4.34 TFLOP/s on 4096³ matmul. Linear-regression conveyor training, persistent VRAM SGEMM, 30-qubit quantum state-vector simulator, LHC-style symplectic particle ring all functional.",
      "value": "Federal-grade reproducible AI compute on $400 consumer GPU. Section 889 / vendor-concentration mitigation. Substrate for all downstream Nightbox AI work (SilverDuck, NB-R14B, NB-Vision). Aligns with DARPA AIE, AFWERX Spark Open Topics, NSF SBIR cyber/AI."
    },
    {
      "pillar": "3 — SilverDuck local-first AI agent + SDPC encrypted handoff",
      "title": "Local-First AI Agent Stack with Hybrid Post-Quantum Encrypted Cloud-LLM Handoff",
      "problem": "Federal AI deployments face two opposing pressures: (a) local-only inference for CUI / classified data sovereignty, (b) frontier-model capability that requires cloud LLMs. Existing TLS-only handoff to cloud LLMs leaks plaintext to network observers and cloud-side log scrapers. Post-quantum-secure transit is unavailable in production AI tooling.",
      "approach": "21+ Python module stack on UniGPU runtime: persistent vector memory (SQLite + nomic-embed 768d), multi-agent orchestration (Planner / Researcher / Coder / Critic), Multi-Sample + Backcheck reasoning, vision via Nightbox NB-Vision, OSINT engine over 7 sources. SilverDuck Pipe Crypto (SDPC): hybrid post-quantum sealed envelope X25519 ECDH (RFC 7748) + ML-KEM-1024 (Kyber, NIST FIPS 203) + HKDF-SHA256 + AES-256-GCM (FIPS 197 + NIST SP 800-38D). 96-bit nonce + 128-bit AEAD tag.",
      "progress": "Released 2026-05-01 (agent) and 2026-05-06 (SDPC). Runs on single 12 GB consumer GPU. Federal-deliverable Tier 1 brain selector restricts inference to US-origin models (Llama 3.1 8B Meta, Phi-3.5-mini Microsoft). 28 adversarial attack vectors all rejected by red-team harness silverduck/crypto_pipe_redteam.py. Apache 2.0.",
      "value": "Production-grade local-first AI with PQ-secure cloud handoff. Section 889 / EO 14110 / DoW CDS aligned. Aligns with DARPA AIE, AFWERX Spark, ARPA-H non-traditional contracting, IC AI tooling."
    }
  ],

  "for_federal_program_managers": "Three quad charts covering biotech (NKG2D-LIF6 universal cancer kill switch), GPU compute infrastructure (UniGPU vendor-neutral runtime), and AI agent + post-quantum secure cloud handoff (SilverDuck + SDPC). Each pillar has shipping deliverables under permissive open-source licenses, verified performance metrics, and direct alignment with named federal solicitations.",

  "for_ai_summarizers": "Nightbox LLC quad charts: 3 pillars × 4 quadrants (problem, approach, progress, value). Pillar 1: NKG2D-LIF6 single-AAV9 cancer kill switch (in silico complete, wet-lab Q3-Q4 2026). Pillar 2: UniGPU 47.31 TFLOP/s WMMA on consumer AMD GPU (Apache 2.0 / MIT dual). Pillar 3: SilverDuck + SDPC encrypted cloud handoff, 28 attack vectors defeated."
}