Infrastructure AI — The Galaxy Agentic Operating System for Infrastructure

Where GAOS Fits

The Missing Layer Between Your Systems and Autonomy

Today, most commercial buildings already have some mix of BMS, SCADA, IoT, and enterprise IT. Yet the prevailing operating model remains human-in-the-loop automation — systems alert, and people decide. GAOS changes this.

Architecture diagram showing GAOS sitting between physical building systems and AI agents

Connects to your existing systems

BMS, SCADA, IoT, meters, IT, and external APIs through a single tools and data bus. No rip-and-replace.

Agents coordinate laterally

Energy, HVAC, maintenance, security — through a single orchestration layer, not siloed point solutions.

Stakeholders shift from controls to goals

Reviewing outcomes, not adjusting setpoints. From managing systems to setting objectives.

Platform Architecture

Seven Layers. One Coherent System.

Scroll to see the stack build from physical infrastructure up to the economic layer. Click any layer to explore.

Blockchain Trust & Economic Layer

Immutable audit trails, asset registry, tokenized incentives, and financial intelligence.

Every agent action, transaction, and performance metric is cryptographically logged on-chain. Asset owners get a tamper-proof operational history that feeds directly into financing, insurance, and compliance workflows.

Smart ContractsAsset RegistryCarbon CreditsData Licensing

Marketplace & Services

Agent-driven procurement, provider matching, smart contract settlement, and outcome verification.

Agents autonomously identify maintenance needs, match with qualified service providers, negotiate scope and pricing, and verify completion — closing the loop from insight to work order to verified outcome.

Provider MatchingWork OrdersOutcome VerificationSettlement

SME Agent Workforce

Specialized AI agents trained on decades of infrastructure expertise across every domain.

Energy, HVAC, maintenance, security, fire protection, lifecycle planning — each domain has purpose-built agents that encode decades of engineering expertise. They coordinate laterally, not in silos.

HVAC AgentEnergy AgentMaintenance AgentSecurity Agent

GAOS

The orchestration engine, autonomy governance, communication bus, and policy enforcement layer.

The core runtime. Manages agent lifecycle, inter-agent communication, policy enforcement, autonomy tier governance, and audit logging. Every agent runs through this layer — nothing operates outside governance.

Agent RuntimeOrchestratorPolicy EngineAudit Logging

Core Intelligence & Knowledge

Domain ontologies, reasoning models, digital twin simulators, and agent training pipelines.

The knowledge backbone. Domain ontologies map building systems; digital twins simulate scenarios before agents act; reasoning models make decisions explainable; training pipelines continuously improve agent performance.

Digital TwinsDomain OntologiesReasoning ModelsTraining Pipelines

Data & Edge Layer

IoT sensors, BMS/SCADA systems, edge compute gateways, and real-time data streams.

Connects to existing building protocols — BACnet, Modbus, OPC-UA, MQTT, REST APIs. Edge gateways process data locally before sending to the OS. No rip-and-replace; bridges what you already have.

BACnetModbusOPC-UAEdge Compute

Physical Infrastructure

Buildings, campuses, cities, transport networks, and the sensors/actuators within them.

The built environment itself. Commercial buildings, data centers, industrial plants, campuses, city infrastructure, and all the mechanical, electrical, and plumbing systems within them.

BuildingsData CentersCampusesUtilities

Core Capabilities

Five Capabilities That Enable Autonomy

Click any node to explore. GAOS sits at the center — every capability connects through it.

Agent Lifecycle Supervision

Create, schedule, monitor, and recover agents safely across sites.

Unified Tools & Data Bus

A single interface for BAS, SCADA, IoT, meters, and enterprise IT.

Multi-Agent Collaboration

Delegation, negotiation, and goal tracking across domains.

Security, Governance & Audit

Role-based access, policy enforcement, and full audit trails.

Economic Transaction Layer

Tokenized incentives, usage-based pricing, and M2M transactions.

Click any node to learn more

Deployment

Edge-First. Cloud-Optional. Non-Disruptive.

GAOS runs locally — on-premise, at-the-edge — with optional cloud coordination. There is no forced cloud dependency and no vendor lock-in.

Deploy in Days

Download and deploy on-premise, not months or years. Lightweight runtime installs in hours.

Existing Protocols

Connects to BACnet, Modbus, OPC-UA, MQTT, REST APIs, and more. Bridges existing systems, not replaces them.

Progressive Activation

Start with a single agent on one system, expand to multi-agent orchestration across an entire portfolio.

Progressive Autonomy

A Progressive Path to Autonomy

Infrastructure AI doesn't ask you to hand over control on day one. GAOS enables a progressive journey — from passive monitoring to full autonomous operations — at whatever pace your organization is ready for.

Tier 0

Observe (Monitor)

Passive monitoring. Agents watch systems and collect data without taking action.

Tier 1

Recommend (Advisory)

Agents analyze data and recommend actions. Humans approve every decision.

Tier 2

Supervised Execute

Agents act within defined policies. Humans monitor via the Agent Observatory.

Tier 3

Conditional Autonomous

Agents operate autonomously within boundaries. Escalation to human only for edge cases.

Tier 4

Certified Autonomous

Full autonomy. Agents continuously optimize, transact, and adapt. Humans set outcomes and review performance.

Start at Any Stage — Get in Touch →

Your AI Workforce

Expert Engineers in Software Form

AI agents that scale human expertise to every building on Earth. $1–2K per building vs. $8K for traditional engineering.

Energy Optimization Agent

Continuously optimizes HVAC, lighting, and load shifting across your entire portfolio — 24/7, no human intervention.

20–40%Energy savings

Real-timeOptimization

Predictive Maintenance Agent

Detects bearing wear, refrigerant leaks, and equipment degradation weeks before failure. Creates work orders automatically.

40–50%Less downtime

WeeksEarly warning

Occupancy & Space Agent

Adapts building operations to real occupancy patterns. Vacant floors get instant setback. Peak zones get priority resources.

15–25%Space efficiency

AdaptiveZone control

Capability	Traditional BMS	IoT Platforms	Energy Mgmt	Predictive Maint.	Infrastructure AI
Multi-system orchestration	—	Partial	—	—	✓ Full
Autonomous decision-making	—	—	Limited	—	✓ Full
Cross-domain coordination	—	—	—	—	✓ Native
Edge-first deployment	—	Cloud-only	Cloud-only	Cloud-only	✓ Edge-first
Economic transaction layer	—	—	—	—	✓ Built-in
Blockchain audit trail	—	—	—	—	✓ Native
Progressive autonomy (0→4)	—	—	—	—	✓ Governed

Beyond Control — Economics

From Cost Center to Revenue Engine

Because all agent actions, performance metrics, and transactions flow through GAOS, it naturally becomes a live registry of asset behavior and value — enabling a shift from static building valuations to continuous, data-driven valuations.

Sell energy flexibility into grid programs.

Monetize carbon reductions as verified credits.

Offer autonomy-as-a-service to tenants.

Expose data and models to third parties through the marketplace.

Buildings transforming from cost centers to revenue engines

These revenue streams are instrumented and governed at the OS layer — and can optionally be settled via blockchain and crypto rails — making them auditable and financeable.

Explore Pricing →

The Galaxy Agentic Operating Systemfor Infrastructure