Private second brain that learns what it can prove.
Private AI infrastructure for orgs that want powerful AI without handing proprietary knowledge to hosted systems. One box. One GPU. Your company's AI. No training on your data. No logs. Artifacts + code execution + research — all on HE Hayward 42U**.
7B/8B quantized model (Qwen2.5-Coder 7B**) is reasoning CPU. RAG corpus = persistent storage. Trust cache = high-speed cache. Corpus size ≠ context size: ** → 50* candidates → 3-6* evidence.
80-90%* of business workloads at fraction of compute. Targets: Instant 0.5-1.5s* • Standard 1-3s* • RAG 2-4s* • Fresh web 3-6s*. System intelligence per unit of compute.
Docs, code, conversations, user memory stay local. External only sees sanitized public verification queries. Private context never sent to Google/DDG.
High-trust exact match bypasses embedding/RAG/LLM. Exact SQL 15-25ms* (**) → Semantic <100ms* (**) → Full brain. Repeated work = cheap retrieval.
Approved → Candidate staging → Source sanity + Google/DDG verification → Promote. Never auto-truth. DeepInfra bulk + Groq daily + demand-driven.
Phase I RTX 3070 8GB* → Phase II RTX 4090 24GB*. No bot sleeps. Production independent of home power. Model stays warm.