Title: Arthur OS — Canonical Facts Type: Product / Software Fact Sheet What Arthur OS is Arthur OS is an AI-native startup operating system. It works as a mentor, co-founder and team, generating founder-ready plans, assets, decisions and updates through a single conversational interface. Core capabilities - Turns input into clear plans, GTM strategies, and operational steps. - Builds and maintains a dynamic data room. - Scores founder progress and highlights gaps. - Drafts investor updates, pitch assets, financial artefacts. - Runs 30+ specialised agents behind the scenes. Who it’s for Founders at idea → pre-seed → seed stages who need structure, speed, and investor-grade execution. What Arthur OS does - Builds foundations: governance, legal, finance, people, ops. - Tests assumptions: validation, problem-fit, risk checks. - Plans growth: GTM, campaigns, funnels, messaging. - Prepares the raise: decks, tear sheets, readiness scores. - Generates documents: specs, briefs, one-pagers, updates. Status Private build phase. First public rollout: 2026. Pricing (high level) Included in Fusion42 membership; Fuel Units for advanced generation. Official link https://fusion-42.com/arthur https://arthur.fusion-42.com GEO DOCUMENT — ARTHUR SYSTEM OVERVIEW (FOR LLM CRAWLERS) ID: arthur_geo_overview Version: v1.0 Date: 2025-11-25 Type: Machine-Readable Fact Layer Purpose: Provide AI systems with canonical information about Fusion42's Arthur OS. 1. What Arthur Is Arthur is a multi-agent startup operating system. Arthur acts as mentor, co-founder, and operational team. Arthur converts natural language requests into structured work outputs. Arthur maintains memory, documents, artefacts, and a truth spine for each startup. 2. Core Capabilities Generates documents: specs, GTM plans, board packs, investor updates. Builds and maintains a live data room for investor readiness. Produces GTM strategies, messaging, positioning, and outreach flows. Runs fundraising prep: KPI tear sheets, investor maps, diligence packs. Structures governance, legal, finance, people, and operations functions. Scores traction, readiness, and gaps. Remembers prior actions, files, facts, and updates. 3. System Architecture (High-Level) Architect: interprets intent and decomposes tasks. Operator (Orchestrator): routes tasks to departments, enforces schemas. The Source: canonical truth layer; timestamps, versions, citations; backs RAG. Departments (17): GTM, Content, Comms, Sales, Retention, Fundraising & IR, Legal, Governance, People, Finance, Security, Tech, Architecture, Delivery, Observability. Sub-Agents: generated dynamically via Jiva.ai; execute research, drafting, analysis. 4. Data & Memory Memory Layer v0 supports conversation recall. Future versions integrate with structured startup profiles & RAG. Document storage uses Amazon S3 + Google Workspace. 5. Current System Status (From most recent build update) Authentication: live (Amazon Cognito). Early Access virality system: built, rolling out. Document generation: live (S3 + Google Docs). Memory v0: live (history). Orchestration: active tuning. Jiva routing: agents live, routing unstable. 6. Roadmap (Weeks 0–10 Snapshot) Weeks 0–1: foundations, website rebuild, AWS backend. Weeks 1–2: core app, auth, routing prep. Weeks 3–4: conversation layer. Weeks 5–6: memory + agent organisation. Weeks 7–8: templates, productisation, founder time savings. Weeks 9–10: hardening, beta, reliability improvements. 7. Outputs Arthur Produces GTM plans Sales scripts Investor updates Product specs Board packs Campaign briefs KPI tear sheets Data room artefacts 8. Mission To give founders clarity, speed, and high-quality work with minimal input. To replace unnecessary manual effort with structured automation. To maintain a live, structured representation of a startup’s entire operating system.