Industries

Sites that grew over time

We serve operators of plants, hotels, stores, and buildings put together across decades, vendors, and sites. We orchestrate what is already there into one operation, then make it ready for AI.

Who we serve

Eight sectors, one pattern

We started with metal processing and recycling. Tourism, retail, and buildings are rarely treated as industry, but they run on the same mix of machinery and the same fragmentation, so we bring them the same industrial discipline.

First deployment

Recycling and scrap processing

Weighbridges, shredders, sorting lines, and yards spread across sites. Material changes hands many times and every movement needs to be accounted for.

Food processing

Cold rooms, batch lines, and packaging equipment from different decades. Temperature, timing, and traceability have to hold from intake to dispatch.

Building materials

Kilns, mixers, crushers, and loading yards. Heavy analog equipment next to modern dosing controls, with output measured by the tonne.

Manufacturing

Production lines grown machine by machine, each with its own controller and its own vendor. The plant works, but nobody sees all of it at once.

Logistics yards

Gates, scales, cranes, and warehouses across a wide footprint. Where everything is right now matters more than what the paperwork says.

Tourism and hospitality

Hotels and resorts run boilers, HVAC, kitchens, access control, and booking systems from different vendors and decades. Energy, comfort, and maintenance become one operation.

Retail

Supermarkets and shopping centres run refrigeration, HVAC, lighting, tills, and stock systems from different vendors. Cold chain, energy, and shelves become one live picture.

Facility management

Residential complexes, offices, and public buildings mix KNX, BACnet, meters, lifts, pumps, and access control installed over the years. We run buildings like plants: connected, supervised, and maintained from one record.

Not on the list?

If your site runs machinery from different decades, vendors, or locations, the same approach applies.

How we orchestrate

Why it matters

Orchestration comes before AI

Most industry is brownfield. The issues are well documented in engineering blogs and forums around the world: incompatible protocols, vendor lock-in, machines with no digital output, data that never leaves the panel it was recorded on. Adding AI on top does not fix any of that. It inherits it.

Islands, not systems

Every vendor brings its own software. Every investment adds another screen. Nobody sees the whole plant, so decisions are made on memory, paper, and phone calls.

Half-finished projects compound

When a digitalisation project stops midway, the next one often starts from scratch. Money is spent, yet the plant is no more connected than before.

AI needs ground truth

An agent working on disconnected, re-typed data will guess. Orchestration gives it one trusted record of what actually happened, so it can act instead.

Why the Western Balkans

Built where the problem is hardest

In developing economies the gap is wider. Each funding round buys another machine or another system and adds another island. We design for that: every layer delivers value on its own, so the plant is better off even if the next budget is a year away.

Every generation on one floor

Machinery from several eras and several industrial traditions often shares the same plant. If orchestration works here, it works against the hardest mix there is.

Fragmented investment is the norm

Budgets arrive in pieces, from different programmes, lenders, and owners. Designing for that from day one is what most of the world's industry actually needs.

Compact and fast

Short distances, mid-sized operators, and direct access to owners. Each layer can be proven in a live plant quickly, then repeated.

Converging with Europe

The region is aligning with European norms. A solution proven here is built to European expectations while running in real conditions.

From pilot to scale

One plant
Prove the layers, from sensor to agent, in a live operation with real constraints. This is where we are today.
Groups and sectors
Reuse the skills file across sites and similar operations. The second plant is faster than the first, the tenth faster still.
Larger programmes
Carry the playbook to industrial groups, industrial zones, and emerging markets that face the same fragmentation at a bigger scale.

Let's see if your operation fits.

Tell us what you run, how old it is, and how many sites it spans. We will tell you which layer we would start with.

Or email us directly at admir.malaj@weorchestrate.tech.