AI-ready WMS & WES

The warehouse OS for humans and robots.

awherehouse is a next-generation Warehouse Management and Execution System that orchestrates work across people, robots, and AI agents — vendor-agnostic and ready to run on-prem or in the cloud.

Why awherehouse

Built for the warehouses of the next decade

Warehouse operations have outgrown legacy WMS suites. awherehouse is engineered around the realities of mixed human-and-robot workflows, AI agents on the floor, and infrastructure that spans the edge and the cloud.

AI-ready

A clean, well-typed data model and GraphQL surface that AI agents and copilots can plan against — not bolted-on chat.

Humans + robots

A single execution layer that dispatches tasks to pickers, AMRs, AGVs, conveyors, and goods-to-person stations.

Vendor-agnostic

Open integrations with external systems of every kind: WCS, robotics fleets and carriers. No proprietary lock-in to a single hardware ecosystem.

Cloud or on-prem

Deploy the same architecture in your own data centre, at the edge inside the four walls, or as a managed cloud service.

Orchestration

One execution layer for every actor on the floor

Whether the next move is made by a person on a Zebra scanner, an autonomous mobile robot, or an AI agent reasoning over inventory, awherehouse decides who does what, when, and where — and keeps everyone in sync.

  • Task-based execution model

    Receiving, putaway, replenishment, picking, packing, shipping and relocations expressed as composable tasks.

  • Real-time event backbone

    Every scan, move, and state transition is an event — surfaced to dashboards, external systems, and AI agents alike.

  • Agent-friendly APIs

    A typed GraphQL schema and MCP-compatible surface so copilots can read state and act safely.

awherehouse
core
Pickers
AMRs
AI agents
Conveyors
AGVs
External systems
Deployment

Run it where your operation runs

Latency, sovereignty, and connectivity all dictate where a WMS lives. awherehouse is architected so the same release runs in any of these shapes.

On-premise

Run inside the four walls on your own Kubernetes or VM stack — no internet dependency for floor operations.

Hybrid edge

An edge runtime keeps execution local while syncing master data and analytics to the cloud.

Managed cloud

Let us host and operate it. Same codebase, zero infrastructure to manage on your side.

Ready to dive in?

Explore the architecture, integrations, and operator guides — or jump straight into the data model that powers it all.