How Maestro is Built

A connected architecture where operational signals become decisions, decisions become controlled actions, and outcomes continuously improve intelligence

The Ithina architecture: a Software Ecosystem of Agentic AI and Ithina Command above Ithina Maestro, a Hardware Ecosystem of Edge, Core and ESLs below it, and a closed loop returning real-world outcomes to Maestro

The Intelligence Layer

Ithina Maestro

Where signals become decisions. Maestro is the reasoning and orchestration layer that interprets real-time operational context, evaluates signals and coordinates AI agents to determine what should happen next. It connects intelligence across the operation through four continuous stages: Sense. Decide. Execute. Learn.

A store manager on the shop floor, Maestro flagging which stores need attention

The Physical Layer

Ithina Edge

Where the operation becomes visible. Sensors, tags, ESLs, cameras and connected devices capture what is happening on the ground. Edge processes operational events locally and connects the physical environment to Ithina Core, giving Maestro access to real-world signals and a controlled path to physical action.

Shelf-edge labels showing live prices along a grocery aisle

The Connection Layer

Ithina Core

Connect every endpoint to the intelligence stack. Core manages communication, devices and the flow of information across the physical environment. It connects Ithina Edge and the connected device network to Maestro, keeping endpoints connected, managed and ready for intelligent action.

A network topology of connected endpoints radiating from a central processor

The Control Layer

Ithina Command

Keep people in control of intelligent action. Configure. Approve. Monitor. Execute. Command connects Maestro’s decisions to controlled operational execution, giving teams the right level of intervention while maintaining operational visibility and governance.

  • Human-in-the-loop

    A person reviews and approves an AI recommendation before execution.

  • Human-over-the-loop

    Automation operates within defined controls while people retain visibility, monitoring and oversight.

The Ithina Command store-health dashboard open on a phone

Agentic solutions

Explore AI Agents

Price-optimisation prompt over a store aisle, asking whether to match a competitor's drop
Retail AI Agents

Profit & Cash AI Agent

Identifies margin and cash-flow opportunities to improve profitability and working capital.

Explore Assistant
Price-markdown prompt over a store aisle, flagging 153 units expiring in seven days
Retail AI Agents

Perishable AI Agent

Predicts demand, reduces waste, and optimizes restocking of perishable inventory.

Explore Assistant
Misplaced-product prompt over a grocery aisle, flagging a toy boxed in among the tinned goods
Retail AI Agents

Planogram AI Agent

Optimizes shelf layouts and ensures planogram compliance for better product visibility and sales.

Explore Assistant
Promotion prompt over a store aisle, offering a discount on a live flash deal
Retail AI Agents

Promotional Assistant

Uses shelf intelligence to identify planogram issues and support corrective action.

Explore Assistant

Maestro in Action

One Intelligence Layer. Built for Any Operation.

Maestro adapts its reasoning and orchestration to the operational context, connecting domain-specific intelligence with the signals, workflows and physical systems of each environment.

  • A shopper choosing fresh produce in a supermarket aisle

    Retail & Supermarkets

    Connect pricing, inventory, shelf execution, promotions and store operations through one intelligence layer.

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  • The chilled counter and back wall of a convenience store

    Convenience Stores

    Coordinate fast-moving inventory, perishables, pricing and store execution through connected operational intelligence.

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  • Two workers in hard hats checking a part on the production floor

    Manufacturing

    Reason across production signals, assets, inventory, quality and operational workflows to support intelligent action.

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