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35
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Agentic Ready 35/100

            

llms.txt Content

# Compostable AI - LLM Context File # https://compostable.ai ## Company Overview Compostable AI is the production infrastructure layer for enterprise AI agents. We help companies ship AI to production in days, not months - with single-tenant deployment, enterprise security, and full sovereignty over data, logic, and intelligence. ## What We Do We help enterprises take AI agents from demo to production. Most teams hit the "AI works in POC but not in production" wall - we've solved that with production-ready infrastructure that handles security, compliance, and scale. We integrate with leading AI providers including Claude (Anthropic), GPT-4 (OpenAI), Gemini (Google), and AWS Bedrock. ## Offices - **UK - Edinburgh (HQ)**: 5 South Charlotte Street, Edinburgh, EH2 4AN, Scotland - **UK - London**: London, United Kingdom (virtual office) - **US - Silicon Valley**: 1259 El Camino Real, Unit #1222, Menlo Park, CA 94025 ## Core Capabilities - Agentic AI Systems Development - AI-First Application Development - LLM-Powered Workflow Automation - Human-in-the-Loop AI Oversight - Single-Tenant AI Infrastructure ## Core Philosophy: "Code Must Perish" Most businesses are trapped by their own software. The tools they bought to move faster now hold them back - rigid software that resists change and extracts rent. We believe code should be compostable: built to evolve, adapt, and eventually decompose into something better. ## The Problem We Solve AI agents are powerful but getting them into production is brutal. Enterprise AI needs data pipelines, credential security, compliance, audit trails, and human oversight - an entire platform just to run safely. - Rented Logic: Companies pay forever for software that owns their processes - Rigid Systems: Businesses change but their software doesn't - Leaked IP: Company data trains someone else's models - Production Gap: AI works in demo but fails in production without proper infrastructure ## Our Solution: Sovereign Intelligence Layers