# CreateOS — Full corpus > The unified AI execution layer for the enterprise. One governed path from request to response: route every call to the right model, enforce security and policy on every request, validate every output, and keep a full audit trail. > > Model-agnostic and sovereign. Runs in CreateOS cloud, your VPC, or on-premise. ISO 27001 certified, SOC 2 Type II certified, zero data retention. Backed by NodeOps. > > Maintained alongside the site. For a concise index, see https://createos.sh/llms.txt. ## Pages ### CreateOS: The unified AI execution layer for the enterprise. URL: https://createos.sh/ Homepage. The category and the core promise: one governed path from request to response, with routing, policy enforcement, output validation and audit in one place. Deployment models, security posture, and the industries CreateOS serves. ### CreateOS Services URL: https://createos.sh/services Custom AI build offerings across 12 categories: agents, RAG, multi-agent systems, model evaluation, fine-tuning, and enterprise integrations. ### CreateOS Case Studies URL: https://createos.sh/case-studies Deployments across banking, insurance, legal and manufacturing, plus solution blueprints that carry their assumptions and proof plan on the page, plus stories of founders shipping production apps across the full lifecycle in a single session. ### CreateOS Blog URL: https://createos.sh/blogs Engineering deep-dives, agent architecture patterns, deployment guides, and product updates. ### Industries CreateOS Serves URL: https://createos.sh/industries Vertical playbooks for AI in financial services, healthcare, manufacturing, retail, logistics, energy, and more. ### About CreateOS URL: https://createos.sh/about Company mission, principles, and timeline. CreateOS is the enterprise execution layer built by NodeOps. ### Careers at CreateOS URL: https://createos.sh/careers Open roles building the AI execution layer: engineering, growth, and Featured Founder programs. ### CreateOS for Amazon Sellers URL: https://createos.sh/amazon-sellers Listings, ads, customer messaging, reporting, and website work in one place. Pilot model built around measurable progress. ### CreateOS AI Lab in a Box for Schools URL: https://createos.sh/schools Full-year AI building environment where students learn, build, deploy, and graduate with proof of work. Runs alongside CBSE. ## Case studies ### From Matter Files to Strategy-Ready Briefs: How CreateOS Powers Litigation Intelligence URL: https://createos.sh/case-studies/createos-litigation-intelligence Builder: CreateOS · Location: Litigation An AI intelligence layer that turns raw matter files (contracts, notices, handwritten notes, scanned annexures, photographs) into a source-cited Timeline Brief before the first strategy meeting. --- ### An entrepreneur shipped a full-stack affiliate platform in hours URL: https://createos.sh/case-studies/justref Builder: Kalash Vasaniya · Location: Bangalore Backend services, a database, messaging queues, and scheduled jobs. Built and deployed across the full lifecycle in one session. --- ### A designer replaced six tools with one custom task board URL: https://createos.sh/case-studies/tacboard Builder: Stefania · Location: Rome Priority levels, status tracking, notes, image attachments. Six separate apps replaced by one custom tool, with no prior coding experience. --- ### An AI engineer deployed an agent benchmarking game in under an hour URL: https://createos.sh/case-studies/agent-blaster Builder: Pratyush · Location: Delhi Two AI agents pitted against each other in a live puzzle maze. Built and deployed during a chance conversation at the AI Impact Summit. --- ### A Key Account Manager at Amazon launched a wedding platform without writing code URL: https://createos.sh/case-studies/riyasat Builder: Gunjan · Location: Bangalore A curated wedding experience platform for destination weddings and inter-caste marriage planning, deployed same day. Estimated at a week of work; finished in hours. --- ### A data scientist built a travel gym tracker from one conversation URL: https://createos.sh/case-studies/anywheregym Builder: Ankit · Location: Delhi A gym finder with real-time crowd alerts and mobile + desktop UI generated together. 500+ lines of code through natural language, deployed at the AI Impact Summit. --- ### A mobile developer built a distraction tracker that keeps him accountable at work URL: https://createos.sh/case-studies/distraction-tracker Builder: Michele · Location: Rome A context-switching tracker with real-time audio alerts, session controls, and focus metrics. Built and deployed in minutes by a developer who knew what he was losing. --- ### She built her dad an invoicing app in one session Builder: Nandini · Location: Mumbai An invoicing and company-management app a daughter built for her father's business, generated through natural language and deployed in a single CreateOS session. Recorded on location near the Mumbai Hackathon. --- ### A golfer with no coding background built a scam-site detector in ten minutes Builder: Chetan Soni · Location: India Scam or Legit, a tool that checks whether a shopping site is genuine or fake, built in about ten minutes by an MBA with no coding background, after he and his father both lost money to online fraud. --- ### A TikTok PM built an AI growth team for small businesses in one session Builder: Wanlin · Location: San Francisco An AI platform that acts as a creative director, brand manager, and community manager in one place, built for small businesses and micro-creators who can't staff a full team. Front end and back end generated in parallel and deployed through the CreateOS Create flow. --- ### Inside an Early CreateOS Pilot: CCTV to Real-Time Oversight in Indian Textiles URL: https://createos.sh/case-studies/createos-industrial-ai-textile Builder: CreateOS · Location: Maharashtra · Tamil Nadu · Telangana · Gujarat Over a 75-day pilot, cotton processing facilities across four Indian states connected their existing CCTV systems to CreateOS. 50,000+ hours (750+ TB) of video processed, no in-house DevOps team required. ## FAQ ### How quickly can you start? Discovery calls happen within a week. From a signed SOW, most builds start within 2–3 business days. Production MVPs ship in 4–8 weeks depending on scope. ### Who owns the IP? You do. All code, models, weights, and prompts are yours outright on delivery. We also train your team to operate what we built so you aren't locked in. ### How do you price engagements? Fixed-price scoped engagements after a paid discovery sprint. No retainer ambiguity, no hourly overruns. You see the number before we write a line of code. ### Which LLMs do you work with? All of them. Direct integrations with 100+ models through NodeOps Router: GPT-4o, Claude, Mistral, LLaMA, Gemini, Cohere, Deepseek, and the long tail of open-source models. We benchmark on your data and pick the best fit for the use case. ### What about data privacy and compliance? Multi-tenant deployments by default, with hybrid options for regulated industries: on-prem, bring-your-own-cloud, region-aware compute, air-gapped. ISO 27001 certified, SOC 2 Type II certified controls. We sign DPAs and BAAs as needed. ### Do you work on non-AI projects? Sometimes. If AI is the wrong tool for your problem, we'll tell you. A deterministic system or a RAG pipeline; whichever wins for the business. ### Where is the team based? Distributed across Bangalore, Delhi, and Rome. We work async-first and overlap synchronously with US East and EMEA business hours.