AI development in London
We build AI and machine-learning systems for London and UK businesses, remotely from our team in Pakistan. Senior engineers who will tell you where AI genuinely applies and where it does not, in a daily window that overlaps your morning.
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London
AI Development for London
For UK fintech deciding where a model belongs in an underwriting flow, for healthcare teams handling sensitive patient data under real regulation, and for enterprises with years of data trapped in systems that were never built to share it, the hard part of AI is rarely the model. It is the questions around it: what the model may see, who reviews its output, and how anyone will know it is good enough. We are a small senior team in Pakistan with no London office, and those questions are where we start, on calls held in the part of the day your morning and our afternoon share.
The most useful thing we bring to an AI conversation is a willingness to say no. A great deal of what gets pitched as AI is better served by a rule, a search index, or simply cleaning up the data first. When AI does apply, the projects that fail almost never fail on the model. They fail on data access, because the information the model needs is locked in a system nobody can cleanly export from, and on evaluation, because there was never an honest way to measure whether the output was good enough to put in front of a customer or a clinician. Our senior engineers start there.
Where the data is personal, the fact that we work from Pakistan is part of the design rather than a footnote. Access to UK personal data from outside the UK counts as an international transfer under UK GDPR, so we set the work up to need as little of it as possible. The data stays in your own cloud environment, we build and evaluate against pseudonymised or synthetic sets wherever that holds up, and any access to live records runs through safeguards your data protection officer has agreed in advance.
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What is specific
Built for London
We will tell you where AI does not apply
The most valuable answer is often that you do not need a model. A rule, a search index, or better data plumbing frequently beats a model that costs more to run than the value it returns. Senior engineers who scope the work honestly will say so, because we would rather build you the right thing than the fashionable one, and we would rather have that conversation before you have spent anything.
Evaluation and data-access realism
Before model choice we ask the two questions that actually decide the outcome: can we cleanly get at the data the model needs, and how will we measure whether the output is good enough to trust. UK enterprise data is usually scattered across older systems, so we plan the access and the evaluation up front rather than discovering the gap halfway through the build.
Sensitive data that never has to travel
UK fintech and healthcare AI touches data with real regulatory weight, and our engineers are in Pakistan, so the boundaries are settled before anything is built: what a model may see, where inference runs, and who can reach the underlying records. Wherever it can, training and evaluation run inside your environment, and the session where those boundaries are agreed happens on a call with the people who actually hold the data.
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Scope
What we build
Project delivery, owned end to end, for London clients.
- LLM-powered features such as assistants, drafting and internal search, with guardrails and a human fallback where it matters
- Document processing and extraction over contracts, records and enterprise data trapped in older systems
- Retrieval systems over your own documents, with clear boundaries on what sensitive data a model may see
- Forecasting, classification and decision-support models for UK fintech and operations
- Computer vision and image or document understanding where the use case genuinely warrants it
- A rigorous evaluation harness measuring accuracy, failure modes and production cost before anything ships
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Also in this city
What else we build in London
AI Development in London: common questions
Where is Yarqat based, and how do we work together?
Yarqat is registered in Islamabad, Pakistan, and the team works from there; there is no London office. Pakistan is four hours ahead of the UK in summer and five in winter, so your morning is our afternoon and every working day has a shared window for the workshops and evaluation reviews that AI work depends on. We arrange our working hours to overlap yours, and you deal directly with the engineers building the system.
How do you decide whether AI is the right approach?
We start by trying to talk you out of it. A lot of what gets framed as AI is better solved by a rule, a search index, or fixing the data first. When a model genuinely earns its place we build it, but a senior engineer telling you where AI does not apply will save you far more than one who says yes to everything.
Can you work with sensitive or regulated data from Pakistan?
Yes, with the distance designed for rather than ignored. Access to UK personal data from Pakistan is an international transfer under UK GDPR, so the records stay where they are, the build runs on de-identified or generated test data wherever that is sound, and live access is agreed with your data protection officer before anyone uses it. For fintech and healthcare those boundaries shape the architecture from the first week.
Why do AI projects fail, and how do you avoid it?
Rarely on the model. They fail because the data the model needed was locked in a system nobody could cleanly export from, or because there was never an honest way to measure whether the output was good enough. We plan data access and evaluation before we choose a model, which is unglamorous and exactly why it works.
How do you keep AI running costs under control?
By treating cost per request as part of evaluation rather than a surprise after launch. Model choice, prompt size, caching and where inference runs all move the bill, so we make those trade-offs deliberately and show you the numbers before you commit to shipping.
AI development in London?
Tell us what you are building. We serve London remotely, with no local office and no account manager in between, so the person who reads this is the one who would run the work.
- 01A senior engineer reads it. Not a form queue, and not an account manager.
- 02We reply either with questions or with a straight answer that we are not the right fit.
- 03If it looks like a fit, a technical call with the person who would actually run the delivery.
- 04Then scope, effort and risk in writing, before anyone signs anything.