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🤝 Top Collaborators
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🤓 Latest Submissions
Esillio: The operating system for human biology
Healthcare is deeply fragmented—every consultation starts from scratch, and patient history is scattered across isolated PDFs. Esillio solves this by serving as a longitudinal intelligence layer that continuously compiles your biological history into a structured, privacy-preserving timeline. Our architecture leverages AMD's advanced compute ecosystem in a highly strategic way. Rather than requiring users to have massive local GPUs, we use AMD Instinct™ accelerators and ROCm to power our proprietary Biological Continuity Compiler™. This pipeline distils the massive Gemma 4 foundational model down into a highly optimized 17MB micro-artefact. This tiny compiled model is natively embedded directly inside our Docker container, allowing it to run completely offline on standard consumer CPUs with zero cloud dependency. This AMD-powered approach forms our strategic moat. By solving the "cold start" problem of fragmented health history locally and privately, we build a high-retention, patient-owned data ecosystem. This highly defensible intelligence layer becomes the ultimate integration point for wearable manufacturers, digital therapeutics, and telemedicine platforms. By utilizing AMD's enterprise hardware to generate deployable edge intelligence, Esillio OS achieves instantaneous clinical reasoning while building the privacy-first foundation for the modern health economy. Your body remembers everything—it’s time healthcare did too. Esillio is here to cure the amnesia of modern medicine. Stop treating your health like a Snapchat story.
13 Jul 2026
KAAL — Knowledge Agent Arbitration Layer
KAAL (Knowledge Agent Arbitration Layer) is a full-stack adversarial foresight engine built entirely on AMD Instinct MI300X using ROCm 7.0. Most AI gives you confident-sounding guesses. KAAL gives you arbitrated intelligence — four autonomous agents that debate, attack, reconcile, and deliver calibrated long-horizon forecasts. No slop. No repetition. Always ends at a complete sentence. THE AMD STACK: We ran the complete pipeline on a single MI300X — data collection from 208 scientific sources (IPCC, IEA, WHO, WEF, World Bank 2024-2026), synthetic data generation via Qwen-72B on AMD, LoRA fine-tuning of Qwen2.5-7B in full bfloat16 precision, and GGUF Q4 quantization via llama.cpp — all on the same AMD server. Fine-tune completed in under 3 hours. Training loss: 2.5 → 0.47 (81% reduction). THE AGENT ARCHITECTURE: Architect builds the thesis. Contrarian attacks every assumption. Analyst reconciles the conflict. Synthesizer delivers a PhD-level calibrated forecast with confidence levels that decrease as the time horizon increases. DEPLOYMENT: Quantized to GGUF Q4_K_M (15GB → 4.4GB) and deployed permanently free on HuggingFace Spaces via llama-cpp-python. No GPU needed post-training. Zero ongoing cost. BUSINESS VALUE: $4.5B strategic foresight market. Replaces $50,000/month analyst panels at $1.99/hr on AMD. Buyers: infrastructure firms, sovereign wealth funds, HR strategy teams, defense contractors.
10 May 2026
