AI & Machine Learning Company in Edinburgh

Model risk documentation is what turns an Edinburgh AI pilot into a regulated deliverable. A scoped AI proof of concept is a six to ten week engagement covering data audit, a baseline model, and a hosted demo. A custom production ML model (fraud scoring, churn prediction, document extraction, ranking) adds MLOps, monitoring, and an FCA SS1/23 aligned model risk artefact. Full production AI systems layer on RAG, multiple models, fine-tuning, and enterprise integrations. Edinburgh sits roughly 15 to 25 percent below London while drawing from one of Europe's deepest AI talent pools through University of Edinburgh Informatics and Heriot-Watt. We give fixed-fee milestone proposals rather than open T and M estimates.

The United Kingdom\'s AI Regulation White Paper (March 2023) and the February 2024 government response set out a principles-based, regulator-led approach across five cross-sectoral principles: safety and security, transparency and explainability, fairness, accountability and governance, and contestability and redress. Existing regulators (FCA, PRA, ICO, MHRA, Ofcom, CMA, EHRC) apply these principles inside their remit. Our discovery phase runs a White Paper principles mapping on your use case, identifies the lead regulator, and produces a governance pack covering each principle. For Edinburgh financial services clients, FCA SS1/23 model risk and Consumer Duty are the dominant overlays. For Scottish public sector, the Scottish AI Strategy adds Scotland-specific expectations on top of the UK framework.

Yes. We ship RAG systems, internal copilots, document extraction pipelines, vulnerable customer detection, and agent workflows for UK financial services. For FCA dual-regulated and PRA-regulated clients we stay inside UK regions (AWS eu-west-2 London, Azure UK South, Cohere UK endpoints), apply FCA SS1/23 model risk controls, Consumer Duty fair value and consumer understanding outcomes, and PRA SS2/21 operational resilience mapping, and produce the challenger model documentation internal audit and Senior Manager Certification Regime (SMCR) accountable executives need. NatWest Group, Standard Life Aberdeen, Phoenix Group, and Aegon UK all sit inside this perimeter, and we have patterned deployments after public work from Aveni and the wider Edinburgh fintech AI cluster.

Scottish public bodies follow the Scottish Government Digital Scotland Service Standard, the Scottish AI Strategy and Scottish AI Alliance principles (trustworthy, ethical, inclusive), the Data Protection Act 2018 under UK GDPR with ICO enforcement, and Scotland-specific information governance through NHS Scotland (eHealth Strategy) and Scottish Council on Archives where records management is in scope. Our public sector engagements produce a Scottish AI Alliance aligned governance pack, an ICO Data Protection Impact Assessment, an algorithmic transparency record (the UK Algorithmic Transparency Recording Standard from the Central Digital and Data Office is also accepted in Scotland), and human oversight controls proportional to the determined risk tier. NHS National Services Scotland and Health Improvement Scotland procurement gates map onto these deliverables.

When a project requires genuine research (novel NLP architectures, reinforcement learning in production, robotics, machine reasoning, rare-event detection), we scope collaborations with University of Edinburgh Informatics faculty, Heriot-Watt National Robotarium, or Bayes Centre affiliates rather than overselling in-house capability. Our core team handles applied engineering, MLOps, and productionisation, which is where most Edinburgh AI projects actually stall. For standard work (RAG, fine-tuning, classical ML, computer vision on known architectures) no academic partner is needed. We will tell you up front which bucket your problem fits into, and we have introduced Edinburgh clients to Bayes Centre industry programmes and Edinburgh Innovations (the University\'s commercialisation arm) when it fits their roadmap.

We default to AWS eu-west-2 (London, roughly 600 kilometres south of Edinburgh) and Azure UK South (London) for storage, training, and inference. For LLMs that must stay in the United Kingdom (FCA dual-regulated banking, ICO high-risk processing, NHS Scotland clinical data, Scottish Government Official Sensitive workloads) we use Cohere\'s UK endpoints or self-host Llama 3, Mistral, or Qwen on UK GPU instances. Cross-border processing into EU is acceptable when a UK GDPR transfer assessment signs off (the UK-EU adequacy decision continues to apply at time of writing). Cross-border into US requires a Transfer Risk Assessment under the UK Addendum to the EU Standard Contractual Clauses or the UK-US Data Bridge. We document residency in the model card and the data processing agreement so ICO and FCA auditors have a clear answer.

A typical Edinburgh insurance or pensions AI build (longevity modelling, customer outcome scoring under Consumer Duty, vulnerable customer detection, document intelligence on claims) takes fourteen to twenty-two weeks from kickoff to production, assuming clean historical data and FCA SS1/23 documentation as part of scope. Week 1 to 4 is data audit and baseline. Week 5 to 12 is modelling, iteration, and challenger testing. Week 13 to 18 is MLOps, monitoring, shadow mode deployment, and internal audit review against PRA SS2/21 operational resilience and SMCR accountability. Week 19 onward is gradual rollout. If you are pre-data or need labelling, add six to eight weeks. We have shipped to this cadence inside Phoenix Group, Aegon UK, and Standard Life Aberdeen style stacks.

Most custom AI work qualifies under the United Kingdom\'s R&D tax relief regime. From April 2024, the merged R&D Expenditure Credit (RDEC) scheme gives a 20 percent above-the-line credit (net roughly 15 percent after tax) for most companies, with a higher Enhanced R&D Intensive Support (ERIS) rate of 27 percent net for loss-making R&D intensive SMEs (over 30 percent of total expenditure on R&D). Eligible AI activity includes novel modelling, architecture experimentation, algorithmic uncertainty, scientific or technological advance, and systematic investigation, not routine integration. We deliver time-tracked logs, technical narratives, experiment histories, and failed-hypothesis documentation aligned with HMRC CT600 and the Additional Information Form mandatory since August 2023. Scottish companies can also access Scottish Enterprise R&D grants on top. Final eligibility sits with your R&D tax adviser and HMRC.