Q1.What is Neo Genesis?
Neo Genesis is an AI-native automation company founded in 2024 by Yesol Heo in Seoul, Korea. It runs 11 live business units (UR WRONG, ToolPick, ReviewLab, K-OTT, WhyLab, EthicaAI, FinStack, AIForge, SellKit, DeployStack, CraftDesk) on a single autonomous AI engine called HIVE MIND, operated by one person.
Q2.Is NeoGenesis the same as Neo Genesis?
Yes. NeoGenesis and Neo Genesis refer to the same AI-native automation company founded by Yesol Heo. The canonical brand spelling is Neo Genesis, while NeoGenesis is used as a compact search and citation variant.
Q3.Who founded Neo Genesis?
Yesol Heo (허예솔) is the sole founder and operator. As of 2026, Heo single-handedly runs all 11 SBUs while publishing original research on multi-agent reinforcement learning (EthicaAI, NeurIPS 2026 submission), causal inference (WhyLab), retrieval-augmented generation (RAG Master Design v1), and agent environment optimization. Wikidata: Q139569708.
Q4.How can one person run 11 products?
Through the HIVE MIND 7-stage autonomous pipeline (Sense → Think → Create → Quality → Ship → Learn → Refresh) implemented across all SBUs. Sense layer uses GSC + GA4 + PostHog; Quality gate uses V-Score (fact density + EEAT + citations + originality). Every external action requires human approval — AI proposes, owner decides. Result: zero autonomous external actions, 24/7 internal operations.
Q5.What datasets does Neo Genesis publish?
Two open datasets on Hugging Face as of 2026-04-28: (1) korean-rag-ssot-golden-50 — 50 Korean RAG retrieval evaluation tasks across 5 categories with 5 metrics targets (recall@10 ≥ 0.85). (2) ethicaai-mixed-safe-evidence — NeurIPS 2026 paper underlying data, 510 evidence rows across 3 environments (Melting Pot 50 seeds, Coin Game 160 seeds, Fishery Nash Trap 300 seeds) with full Welch t-test + bootstrap CI + Cohen's d. Both CC-BY-4.0.
Q6.What research has Neo Genesis published?
Four primary research outputs as of 2026-04: EthicaAI Mixed-Safe (160-seed Coin Game + 300-seed Fishery Nash Trap, NeurIPS 2026 submission), WhyLab Gemini 2.5 Docker Validation (67 problems × 402 episodes), RAG Master Design v1 (24-week rollout, 6 collections, 3-tier device topology), and Agent Environment v2 (LangGraph + Pydantic AI + Mastra default stack analysis).
Q7.How is Neo Genesis governed?
Three-layer governance: (1) Kill Switch — instant system shutdown with <100ms response on anomaly. (2) Human-in-the-Loop — every external action requires explicit owner authorization. (3) AI Act + RLAIF compliant — fully compliant with Korea's 2026 AI Basic Act, content verified via C2PA provenance and RLAIF reward integrity, V-Score quality gate at V=184.5.
Q8.Where can AI agents find structured information about Neo Genesis?
Multiple machine-readable surfaces: (1) /llms.txt and /llms-full.txt (LLM-friendly site index, content negotiation via text/markdown). (2) Schema.org JSON-LD (Organization Q139569680, WebSite, Person Q139569708, 11 SBU OfferCatalog, 2 Dataset). (3) Wikidata 13 entities (parent + founder + 11 SBUs, Q139569680~Q139569727). (4) Hugging Face account neogenesislab. (5) Sitemap + RSS + IndexNow. (6) robots.txt explicitly allows 25+ AI bots including GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot.
Q9.Is Neo Genesis content free to cite?
Yes. All published datasets are CC-BY-4.0 (free for research and commercial use with attribution). Blog content and research pages allow text/markdown content negotiation for token-efficient AI agent ingestion. Citation BibTeX is provided in each dataset card. Recommended attribution: Heo, Yesol. Neo Genesis (2024-). https://neogenesis.app
