RULE 01
Measured, not asserted
Every system has an evaluation set drawn from real cases, and a defined threshold that decides whether it goes live. Accuracy, latency and cost per task are reported, not described.
An engineering company that happens to work in AI.
METALCORE GLOBAL researches, builds and operates AI agents and AI software for businesses. We are based in Ras Al Khaimah, United Arab Emirates, and work with clients internationally.
Why we exist
The gap is not model quality. It is delivery.
Most companies that try AI do not fail because the model is weak. They fail because nobody defined the job precisely, nobody owned the exceptions, and nobody measured whether it worked after launch.
We started METALCORE GLOBAL to close that gap. Our work is not to demonstrate what a model can do — it is to put a system into production that a business can rely on, then leave behind the documentation and access needed to run it.
That means writing scope before code, building evaluation sets from real cases, and keeping a human in the path of any decision that carries commercial risk.
Company details
Registered address
VUETO333, Compass Building
Al Hulaila Industrial Zone - FZ
Ras Al Khaimah, United Arab Emirates
Telephone
Working with clients
Remote-first delivery. On-site work in the UAE and GCC by arrangement.
Operating principles
Four rules we do not negotiate.
RULE 02
Human authority is explicit
We write down which actions require approval before anything is built. A quote, a payment or an order confirmation is not sent because a model was confident.
RULE 03
Your data stays yours
Systems run in infrastructure you control or that is contracted in your name. Client data is not used to train third-party models, and access is logged.
RULE 04
We hand over cleanly
Source code, prompts, architecture notes and runbooks are delivered at the end of every engagement. Continuity should be a choice, not a dependency.
Who we work with
Teams where a small accuracy gain is worth real money.
Below is the kind of buyer we are built for, described by industry, size and the way operations actually run. It is not a client list: we do not publish one. If you recognise your operation in two of the three axes, the first call will be short.
By industry
- Trading and distribution. You buy and resell: high enquiry volume, specification-heavy quotes, buyers writing in more than one language.
- Professional services. Repetitive intake, document review and client reporting, with billable people doing the intake work.
- Operations-heavy SMEs. Order handling that depends on a handful of people remembering how the process works.
- Software teams with an AI feature to ship. You have the deadline and the compliance review, and you need the model layer built properly rather than demoed.
By size
- Single site, one decision-maker. You can approve a change yourself, which is why a first build moves quickly.
- Multi-branch or multi-country. The same process runs slightly differently in each place, and those differences are where the value sits.
- Growing faster than you can hire. Volume is up, headcount is not following, and the queue is the visible symptom.
- Part of a larger group. Procurement and security review are real steps here, and we answer them with documents rather than slides.
By operations model
- Own warehouse, own dispatch. Order state changes inside your own systems, so the data needed to automate already exists.
- Handover to a third-party logistics provider. The gaps are at the handover: confirmations, exceptions, and who owns a delay.
- Cross-branch transfers and stock queries. The answer exists in one system and the question arrives in another.
- Document review as the core work. The output is a decision on a document: extract it, check it, route it, record who decided.
What they have in common
- A process that repeats. The same steps and the same decisions, often enough that a marginal improvement is worth building.
- A person who owns the exceptions. Someone already knows what to do when a case is unusual — that knowledge becomes the rules.
- Data that exists somewhere. In an ERP, a CRM, a shared drive or an inbox. It does not have to be clean; it has to exist.
- A decision that can be reviewed afterwards. If a wrong answer can be traced and corrected, an agent can be trusted with the first pass.
Client names and references
We do not publish client names, logos, deployment counts or quotations, and you will not find them anywhere on this site. Where a prospective client wants to speak to someone we have worked with, we will tell you in the first call whether we can arrange it — that depends on the other client's consent, not on our willingness. If we cannot, we will say so plainly rather than describing unnamed companies and letting you assume the rest.
A fit
- You can name one workflow with a start, an end and a person who owns it.
- The volume is high enough that delays and mistakes are felt, not theoretical.
- You have real past cases to test against, even if they are messy.
- You want the system handed over, not rented.
Not a fit
- You need a fixed catalogue product today. We build to a written scope, and we do not sell seats on a shared platform.
- The process changes every week, or the decision can never be reviewed afterwards. An agent will add cost rather than remove it.
- Nobody internally can approve a rule or own the exception queue after handover. A system without an owner becomes an abandoned system.
We say this during discovery, not after a proposal. A short “this is not the right tool” is cheaper for both of us than a build that proves it.
Start with a conversation, not a proposal.
Describe the process you want automated. If it is a fit, you will receive a scoped quote with stages, deliverables and acceptance criteria.