Cloud World Model

    Simulate the Cloud
    Without the Cloud

    The simulation engine for Canvas Cloud AI learners and AI agents. Practice cloud architecture, train optimization models, and validate infrastructure—all without provisioning real resources.

    No AWS, GCP, Azure, OCI, or DigitalOcean Account Required
    Zero Infrastructure Costs
    Instant Setup
    Agent & Headless Ready

    See It In Action

    Watch how Cloud World Model simulates real cloud infrastructure behavior — without provisioning a single resource.

    World Model Capabilities

    Advanced AI models predict infrastructure behavior with physics-informed constraints and learned dynamics

    Real-time Simulation
    Predict latency, throughput, and cost with physics-informed AI models
    Failure Injection
    Test resilience with AZ outages, traffic spikes, and node failures
    Cost Optimization
    Train RL agents to minimize costs while maintaining performance
    Multi-Cloud Support
    Simulate AWS, GCP, Azure, OCI, and DigitalOcean with provider-specific behavior
    Supports x402
    Linux Foundation Protocol
    AI agents can call any API endpoint without signing up — pay per call in USDC on Base. No account, no API key required.

    Network

    Base (Ethereum L2)

    Asset

    USDC

    Discovery

    /api/billing/x402/config

    What Engineers Are Saying

    Engineers and leaders reacting to the launch on Product Hunt and LinkedIn

    Simulation lets teams explore ideas before committing resources. Finding weaknesses before deployment is almost always less expensive than discovering them in production.

    Gennadiy Vaksman

    Technology & Business Leader / Advisor

    From LinkedIn ↗

    Cloud mistakes usually get expensive after you already deployed them. Being able to play with failure scenarios, cost, and scaling before touching real infra feels especially useful for learners and small teams that don't have a proper staging setup.

    Cost avoidance during cloud experimentation has always been a silent constraint in engineering teams. Digital twin style environments change exploration economics in a meaningful way.

    Paul Storm

    Co-Founder, Dr. Storm Advisory GmbH

    From LinkedIn ↗

    Cost is the question that never really leaves the room, and almost always the hardest thing to pin down before you commit.

    Chaos engineering with resilience scoring before touching real infra is a great fit for teams that want to test failure modes without blowing a staging budget.

    If simulation becomes reliable enough, it could seriously change how teams approach pre-production testing.

    Thomas Hoon

    China-ASEAN Market Entry Strategist

    From LinkedIn ↗

    My 'test' is deploy-and-pray, no real staging. The failures that hurt are the silent ones, not the loud ones.

    Ready to Start Simulating?

    Build, test, and optimize cloud architectures without the risk or cost