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Redefining Venue Intelligence

WorldModel

The definitive framework for AI governance in physical venues. Where hyper-personalization meets privacy by design.

Explore the Frameworks Explore Markets worldmodel.global ↗
Architecture Continuum
The Case for Change

Why Governed Personalization Matters

👥
73%
Expect Personalization
of guests expect personalized experiences — yet only 12% of venues deliver them effectively
🔒
86%
Privacy Concerns
of consumers are concerned about data privacy — creating a trust imperative for venues
🏛️
40+
Vertical Markets
from theme parks and museums to cruise ships and smart cities — one universal framework
💰
$2.5T+
Addressable Market
across 18 key verticals transformed by privacy-forward governed personalization
🎯
7
Governance Layers
VS+C → CGL™ → TGF™ → ICL™ → EDE™ → MAOL™ → AAL — every AI decision passes through constitutional governance
Governance Architecture

Seven Layers of Governed AI

Every AI decision in a WorldModel™-governed venue passes through seven distinct governance layers — from constitutional values through cognitive governance to assurance and audit.

Explore the Seven Governance Layers

Agency can stay fluid in planning. Execution must remain governable at the action boundary.

Detailed mode places capability labels on the rings.
Zoom and drag to read details.
VS+C™ Declared values Rights & duties Prohibitions Privacy posture Escalation rules CGL™ Authorization proofs Hard stops Human interrupt Info-flow control Oversight Audit outputs Action boundary enforcement TGF™ Consent windows Rate limits Cool-downs Daypart policy shifts Sequence governance ICL™ Identity continuity Consent state Preference persistence Accessibility state Role-bound identity CheshireCat® recognition Alice® identity logic LookingGlass® Concierge EDE™ Environmental dynamics Prediction surfaces State histories Topology / constraints Flow / occupancy TeaParty® deterministic control Venue sensors MAOL™ Task allocation Multi-agent coord. Conflict resolution Delegation rules Zone synchronization Role governance Lory® orchestration WonderLens™ spatial overlay CaterPillar™ acoustic routing AAL™ Conformance checks Tamper-evident logs Compliance reporting Incident review Governance health AV++® Analytics Audit exports \ ACTION BOUNDARY WorldModel™ Seven Governance Layers All consequential actions pass through CGL™ SELECTED QuickSilver® Distributed Compute Fabric
VS+C™
CGL™
TGF™
ICL™
EDE™
MAOL™
AAL™
Scroll reveals the stack. Hover or tap a layer to inspect what it does, what it governs, and which Mad Systems technologies anchor it.
Selected layer

Cognitive Governance Layer™ (CGL™)

Deterministic enforcement of values, safety, constraints, and accountability at runtime.

Core responsibilities
    Mad Systems technologies and capabilities
    Layer 1

    VS+C™

    Value System + Constitution. The source layer — defines the venue's ethical boundaries, privacy posture, and operational principles that all other layers must obey.

    Layer 2

    CGL™

    Cognitive Governance Layer. The runtime enforcer — evaluates every proposed AI action against the constitution's explicit objectives and hard constraints. Auditable outcomes.

    Layer 3

    TGF™

    Temporal Governance Framework. The temporal keeper — manages time-bound policies, scheduled content changes, daypart transitions, and expiration of consent windows.

    Layer 4

    ICL™

    Identity Continuity Layer. Maintains continuity of visitor preferences over time using privacy-forward principles. Enforces forgetting as a feature — personalization without surveillance.

    Layer 5

    EDE™

    Environmental Dynamics Engine. Models evolving venue dynamics — flow, congestion, audio levels, temperature — so the system anticipates rather than reacts late.

    Layer 6

    MAOL™

    Multi-Agent Orchestration Layer. Specialized agents propose actions in parallel; MAOL™ resolves them into coherent venue-wide behavior under governance constraints.

    Layer 7

    AAL™

    Assurance and Audit Layer. Continuous verification that all system behavior conforms to the constitution. Provides audit trails, compliance reporting, and real-time governance health monitoring.

    📚 About the Publications

    Vendor-Neutral Framework — Mad Systems Implementation

    Both companion publications present WorldModel™ as a vendor-neutral architectural framework — describing the governance patterns, decision layers, and operational disciplines that any venue can adopt. Mad Systems has built the production-ready technology stack that implements this framework: QuickSilver® as the compute backbone, Alice® as the AI personalization engine, CheshireCat® for private recognition, and the complete AV++® ecosystem. The publications describe what to build. Mad Systems has built it.

    Vertical Markets

    40+ Markets. One Governed Framework.

    Select a market to see how WorldModel™ transforms that vertical. Total addressable market: $2.5T+

    Explore all verticals at worldmodel.global ↗
    Deep Dive

    Explore the Framework

    🏗️

    Architecture

    The complete governed operating architecture for intelligent physical environments. How all seven layers compose into destination-scale intelligence.

    Explore →
    🌐

    WorldModel™

    Shared operational truth for consistent, governed behavior across venue systems. The real-time model of the world that every agent references.

    Explore →
    ⚙️

    WorldModel™ OS

    The operational interface layer that makes WorldModel™ deployable. Lifecycle management, outcome verification, and continuous governance.

    Explore →

    The Future of Venues is Governed

    Don't wait for regulation to force change. Lead with a framework that transforms privacy from constraint into competitive advantage.

    Published Architecture worldmodel.global ↗ Contact Us
    Five monkeys experiment illustration
    Why Are We Doing This?

    Five New Monkeys

    There is a well-known parable about five monkeys. It is not really about monkeys. It is about what happens when a group keeps enforcing a rule long after the original reason for that rule has disappeared. In AV and Location Based Entertainment, that pattern shows up all the time.

    Five monkeys are placed in a habitat with a ladder in the middle. At the top of the ladder hangs a bunch of bananas. Naturally, one of the monkeys climbs the ladder to grab the bananas. When it does, the researchers spray the rest of the monkeys with cold water. After a few attempts, the monkeys quickly learn the connection.

    Banana = Cold Shower.

    Before long, whenever a monkey even tries to climb the ladder, the other monkeys pull it down and beat it up to stop it.

    1One original monkey is replaced. The new monkey tries to climb. The others attack. It learns not to climb — even though it has never been sprayed.
    2Another original is replaced. Same result. The new monkey learns the rule.
    3This continues until all five originals are gone.
    None of them have ever been sprayed. None of them know why.

    But none of them will climb the ladder. And if a new monkey tries, the group will still beat it up.

    Why?
    Because that is just the way things are done.

    That is how large parts of this industry still operate.

    Too many teams inherit technical assumptions from the last project, then production assumptions from the last technical stack, then budget assumptions from the last production model. Eventually those assumptions stop looking like choices and start being treated like physics.

    Much of that behavior comes from designing around proprietary black box hardware. Once a system is built on closed, single-purpose devices, everything downstream begins to conform to their limitations. Workflows. Support models. Spare strategies. Upgrade paths. Before long, entire organizations are protecting the ladder — without asking whether the ladder still needs to be there.

    We chose a different starting point.

    We built a system that bases AV hardware on non-proprietary compute node hardware rather than on closed black box endpoints. That decision changed the problem space.

    Hyper-personalization became possible — behavior no longer had to be locked inside fixed-function hardware. Experiences could become adaptive, contextual, and individualized in software.
    Spares were minimized — standardized around a smaller family of node types instead of a growing inventory of specialized proprietary devices.
    Upgrades became easier — increasing capability often means increasing compute available to a node, not replacing entire subsystems.

    We did not set out to defend the old ladder. We set out to remove the reasons people thought they could not climb it.

    We created a system that replaces inherited black box constraints with a modular compute foundation, enables hyper-personalization, minimizes spares, simplifies upgrades, and opens the door to WorldModel™.

    We started our work with five new monkeys.