REG / 01Data protection
ICO
Information Commissioner's Office
Enforces UK GDPR and the Data Protection Act 2018. Publishes detailed guidance on AI and data protection, including fairness, transparency, and explainability of automated decisions.
United Kingdom
AI consulting for UK organisations.
G.E.T AI Labs is an applied AI research lab serving UK organisations remotely. A distributed senior team delivers strategy, research, evaluation, and engineering against your data and your regulators' expectations — anchored in Canadian applied-AI research, with a working daily overlap with UK hours.
Delivery
Remote-first
Time zones
UK afternoon / Canada morning overlap
Anchored in
Canadian applied-AI research
Markets
UK · Canada · Europe
UK / 01
The UK applied-AI landscape.
The United Kingdom is one of the strongest AI ecosystems in the world. London is a global AI hub — a dense concentration of financial-services firms, AI companies, and capital — while Cambridge, Oxford, and Edinburgh anchor world-leading academic research. The UK is the home of DeepMind and of ARIA, the Advanced Research and Invention Agency, and it hosted the first global AI Safety Summit at Bletchley Park in 2023.
Demand is deepest in financial services and the public sector, where the consequences of an AI system behaving badly are measured in regulatory exposure, not just lost revenue. Yet for the large population of UK mid-market organisations, there is a real adoption gap: the research and the headline models exist, but turning them into a reliable system — evaluated, documented, and aligned to the relevant regulator — remains hard. That gap, between published capability and a deployed system an organisation can defend, is where applied AI work matters most.
UK / 02
AI regulation and compliance in the United Kingdom.
The United Kingdom has deliberately not followed the EU's single statute. Instead it has chosen a pro-innovation, principles-based approach — and getting an AI system through it means satisfying existing sector regulators, not one new AI Act.
The government's 2023 AI Regulation White Paper set out five cross-sector principles — safety and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. Rather than create a new regulator, the UK asks existing ones to apply those principles within their own remits.
In practice that means the ICO for data protection, the FCA for financial services, the CMA for competition, Ofcom for communications and online safety, and the MHRA for AI used as a medical device. Underpinning all of it is UK GDPR and the Data Protection Act 2018, with the ICO's detailed guidance on AI and data protection setting expectations for fairness, transparency, and the explainability of automated decisions.
At the frontier-model end, the UK AI Safety Institute (AISI) evaluates advanced models and coordinates internationally — work that grew out of the 2023 AI Safety Summit and the Bletchley Declaration. We design AI systems aligned to these regulators' expectations: UK GDPR and the ICO's guidance as first-class constraints, evaluation evidence that maps to the five principles, and documentation a regulated organisation can stand behind. We provide engineering and research artefacts, not legal advice.
Who applies the principles
- ICOData protection
- FCAFinancial services
- CMACompetition and markets
- OfcomCommunications and online safety
- MHRAMedical devices
- AISIFrontier-model safety
REG / 02Financial services
FCA
Financial Conduct Authority
Regulates conduct across UK financial services. Applies the cross-sector AI principles to firms using AI in lending, advice, fraud detection, and market activity.
REG / 03Competition and markets
CMA
Competition and Markets Authority
Oversees competition, including in foundation-model and digital markets. Reviews concentration and consumer-protection risk arising from AI.
REG / 04Communications and online safety
Ofcom
Office of Communications
Regulates communications and, under the Online Safety Act, online-safety duties — including AI-driven content and recommendation systems.
REG / 05Medical devices
MHRA
Medicines and Healthcare products Regulatory Agency
Regulates AI as a medical device (AIaMD), including software, with a dedicated programme for AI and machine-learning-driven medical technologies.
REG / 06Frontier-model safety
AISI
UK AI Safety Institute
Established after the 2023 AI Safety Summit at Bletchley Park, which produced the Bletchley Declaration. Conducts evaluations of advanced AI models and coordinates internationally on safety.
This section describes the UK regulatory landscape for context. It is not legal advice. UK organisations should confirm their regulatory positions with qualified counsel; G.E.T AI Labs delivers the technical strategy, evaluation, and engineering that those positions rest on.
UK / 03
Working with UK organisations from a Canadian base.
G.E.T AI Labs is Canadian-anchored and remote-first. We do not have a UK office or UK-based staff — and we think being plain about that is the honest way to begin. What we do have is a delivery model that works well across the Atlantic, and a research culture that maps closely to how the UK approaches AI.
The time-zone overlap is genuinely workable: the UK afternoon lines up with the Canadian morning, giving a shared live window every working day — wider than UK organisations get with North American Pacific or Asian partners. Canada and the UK share a common-law legal heritage and similar contract norms, so engagement terms and confidentiality expectations are familiar on both sides. Delivery is in English. Canada holds a strong data-protection adequacy posture, which simplifies how an engagement handles data. And the team's research-led culture — anchored at the University of Alberta and the AI Hub at Durham College — matches the university-grounded AI tradition UK organisations expect from a serious partner.
UK / 04
What we deliver for UK clients.
UK engagements draw on the same applied-AI capabilities as the rest of the practice — strategy, evaluation, engineering, and research — scoped in writing and delivered with client-owned outputs. The services below are the usual entry points.
AI strategy consulting
Written adoption roadmaps, opportunity maps, technical landscape analysis, and risk registers — with UK GDPR and the relevant regulator's principles treated as first-class constraints, not footnotes.
AI strategy consultingAI evaluation services
Independent Systems Evaluation of models and AI products on representative data — accuracy, robustness, fairness, and failure modes — producing the documented evidence the ICO and the FCA expect behind an AI deployment.
AI evaluation servicesLLM engineering
Production LLM applications, RAG systems, and AI agents, engineered against your data and constraints — including private and on-premise deployment where UK data-residency expectations require it.
LLM engineeringApplied AI research
Deep domain research and prototype development for problems that do not yet have an off-the-shelf answer — the research-led mode UK organisations recognise from their own university-anchored AI culture.
Applied AI researchStructured engagement programs
Every engagement runs as a defined programme — from a two-week Technology Opportunity Mapping to a Fractional CTO retainer — scoped and priced in writing before any commitment, with client-owned outputs.
Engagement programsFrequently asked
About working with UK organisations.
Direct answers about how a Canadian-anchored applied AI lab serves UK clients — the regulatory approach, the time-zone overlap, financial-services and public-sector work, and how engagements start.
Yes. G.E.T AI Labs works with UK-based organisations as a remote-first applied AI research and consulting partner. Engagements are delivered by a distributed senior team operating across multiple continents, with a workable daily overlap between UK working hours and the Canadian morning. Delivery is in English, against written scopes, with all artefacts owned by the client at handoff — the same engagement model used for organisations elsewhere.
No. G.E.T AI Labs is a Canadian-anchored, distributed applied AI lab — not a UK-registered company, and it does not maintain a UK office or UK-based staff. Its institutional anchors are the AI Hub at Durham College in Ontario, the University of Alberta, and senior engineering at HubSpot. UK organisations are served remotely. We are explicit about this because honest positioning matters: you are engaging a Canadian applied-AI team that is equipped to deliver to UK clients, not a domestic UK consultancy.
The United Kingdom has chosen a pro-innovation, principles-based approach rather than a single statute like the EU AI Act. The 2023 AI Regulation White Paper sets out five cross-sector principles applied by existing regulators — the ICO for data protection, the FCA for financial services, the CMA for competition, Ofcom, and the MHRA for medical devices. We design AI systems aligned to those regulators' expectations, with UK GDPR and the Data Protection Act 2018 as first-class constraints and the ICO's guidance on AI and data protection built into evaluation and documentation. We provide engineering and research artefacts, not legal advice; UK organisations should confirm positions with their own counsel.
Yes. The UK afternoon overlaps with the Canadian morning, which gives a dependable shared window each working day for live calls, reviews, and decisions. Asynchronous written artefacts — research memos, evaluation reports, architecture documents — cover the rest. In practice the overlap is wider and more usable than the one UK organisations get with partners in North American Pacific or Asian time zones.
Yes. G.E.T AI Labs works across high-stakes, regulated domains, and the UK has particularly strong AI demand in financial services and the public sector. For financial-services organisations we treat the FCA's expectations and UK GDPR as design constraints; for public-sector and other regulated bodies we work to the relevant regulator's principles and the ICO's data-protection guidance. We deliver the technical strategy, evaluation evidence, and engineering — your organisation's compliance, risk, and legal functions retain ownership of the regulatory decisions.
Engagements begin with a free initial conversation to define the question, followed by a written scope with fixed deliverables, timeline, and price before any commitment. A short Technology Opportunity Mapping is a common starting point; deeper work runs through an AI Adoption Strategy, a Systems Evaluation, a Prototype Development Program, or a Fractional CTO retainer. NDAs are available where required, and every written artefact is owned by the UK client at handoff.
Next step
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