AI for complex operations.
Founded in Leuven in January 2024, iHQ Tech finds the step in a business process where the hours and the errors hide, and puts AI on that step, so the operation runs faster, more accurately, and takes more work with the same team.
The work is with companies whose operations carry the business: hotels, hospitals, stores, brokerages and event planners, across the EU and MENA.
Small team, big impact.
Business analysts and engineers work as one group from the first day. Small enough to sit inside an operation, senior enough to ship.
Business analysts
Map the process with the people who run it, and find where the complexity sits.
Engineers
Build the fix, put it live, and measure what it changes.
All of them
Work with the right agentic tools every day, and know in depth how to put AI to work in their own workflow.
Complexity is the advantage.
Two companies can buy the same software. Only one of them has understood its own process well enough to put AI on the right step of it. That understanding cannot be bought, and it is where the advantage comes from. Our job is to build it with the client, inside the operation, until the gain is a number on a dashboard.
Process discovery
Two weeks embedded with the team that runs the work, mapping every handoff, decision and workaround, until the costly step is obvious.
Optimisation and decision models
Solvers, rules and scoring models that make the decision the same way every time, with the reasoning shown.
LLM workflows
Pipelines that read, classify, extract and draft on arrival, with citations and a confidence score, so a person approves instead of processes.
AI literacy and handover
The team learns how the models decide, where they fail, and how to change them when the business changes. Deployed with privacy by design, then handed over to run without us.
Outcomes
Work is measured by the difference it makes in the operation, not by the size of the build.
First principles
A problem brought down to its logic, then built back for the business in front of us.
Rigour
Every number published is measured in production. Where AI is not the answer, we say so.
Ownership
The client's team runs what we build, and the know-how stays with them.
Amr Saleh
Amr leads iHQ Tech and stands between the two sides of every engagement: the people who run the operation and the engineers who change it. Most weeks that means being inside a client's process, turning what the team knows into a problem an engineer can solve, and making sure what the engineers build is something the business can see on its own numbers.
Behind that is a PhD in computer science and a decade of optimisation, simulation and financial systems for industry. Since 2023 the same rigour goes into operations, where the problems are messier and the difference shows up in weeks.
Let's find the bottlenecks AI can actually solve.
Describe the operation and where it jams. The reply comes from the founder, with what has worked in similar businesses and where AI could realistically fit.
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