1
Frame
We agree one problem worth solving and how we’ll know it’s solved: a metric, a baseline and a deadline.
Discovery · 2–4 weeksApplied AI company · London, UK
We buildAI modelsthat work.
We advise, build and train. From your first AI strategy to custom models running in production, Quantum AI helps UK businesses put AI to work on real problems.
Services
Three ways we help. One team from idea to production.
Most AI projects stall between the slide deck and the server. We cover the whole distance, so nothing gets lost in a hand-off.
Advise
AI consulting
Work out where AI will pay off, whether your data is ready, and how to adopt it safely under UK rules. You get a roadmap your board can approve and your team can deliver.
- AI strategy
- Readiness assessment
- Governance
- Team training
Build
AI solutions
Assistants that answer from your own documents, agents that handle routine work, and document AI that reads forms and invoices. All of it connected to the tools your team already uses.
- Knowledge assistants
- AI agents
- Document AI
- Integrations
Train
Custom models
When a general-purpose model isn’t accurate, fast or private enough, we fine-tune or build one for the job. We test it against a baseline, document it, and hand it over for you to own.
- Fine-tuning
- Small language models
- On-device AI
- Evaluation
New · Free early access
Quantum Redact: remove personal data from documents, offline.
Our desktop app for Mac and Windows redacts names, addresses, NI and NHS numbers and more from Word, PDF and text files. Nothing is ever uploaded.
![Quantum Redact review screen showing redacted passages with tags such as [NAME] and [POSTCODE].](/assets/img/redact-review.png)
The model ladder
Use the simplest AI that solves the problem.
There are four ways to make AI work for your business, from simplest to most specialised. We start at the bottom and only climb when testing shows we need to.
Prompting
A capable model, given clear instructions.
We use leading hosted models such as Anthropic’s Claude, with carefully designed prompts, examples and output checks. It’s the fastest route to value and often all you need for drafting, summarising and classifying text.
Best forGeneral language tasks
You needClear examples of good output
Typical startDays to a few weeks
Retrieval-augmented generation
Answers drawn from your own documents.
The model searches your policies, contracts or knowledge base before it answers, and cites where each answer came from. Your data stays in your systems and updates are instant, with no retraining.
Best forInternal knowledge, support, compliance
You needDocuments we can index securely
Typical startA few weeks
Fine-tuning
A model that has learned how you work.
We adapt an existing model on your examples so it reliably follows your format, terminology and judgement. Fine-tuning a smaller model can also cut costs and response times compared with a large general model.
Best forConsistent, high-volume, specialised tasks
You needHundreds to thousands of good examples
Typical startWeeks to a couple of months
Custom models
Built for one job, owned by you.
For specialised data, strict privacy or devices without a connection, we build compact models, for example by distilling a large model’s skill into a small one. You get the weights, an evaluation report and a model card.
Best forPrivacy, offline use, scale economics
You needA clear task and a solid evaluation set
Typical startOne to three months
Industries
AI that understands the rules of your sector.
Every regulated industry in the UK has its own expectations for AI. We design with those in mind from the first workshop.
FCA · Consumer Duty
Financial services
Document checks, complaints triage and advice summaries that stand up to scrutiny.
MHRA · NHS DTACHealthcare and life sciences
Less admin for clinicians, with a person always reviewing clinical content.
SRA · ConfidentialityLegal and professional services
Contract review and due diligence that cites every source it relies on.
CMA · Consumer lawRetail and e-commerce
Product content, search and customer service that scale with demand.
Edge · On-deviceManufacturing and logistics
Visual inspection and maintenance models that run on the factory floor.
ATRS · TransparencyPublic sector and education
Casework support that’s explainable to the people it affects.
How we work
Five steps from idea to production.
Each step ends with something you can see and test, so you’re never paying for a promise.
2
Prototype
A working demo on your real data, tested by the people who’ll use it. Not a slide deck.
Prototype · 4–8 weeks3
Build
We harden the prototype: security, integrations, access control and, where needed, a fine-tuned or custom model.
Build · scoped per project4
Evaluate
Every release is tested against the baseline and against misuse. You see the results, including where it fails.
Runs throughout5
Run
Deployed in your cloud or ours, monitored in production, and improved as your data and needs change.
Ongoing supportWhat we stand for
Built in Britain. Measured before it ships.
Measured
Every model we deliver comes with its evaluation: what it’s good at, where it fails, and how it compares with the baseline.
Right-sized
The biggest model is rarely the best choice. We pick the smallest one that does the job well, so it runs faster and costs less.
Private by default
Your data trains your model, not anyone else’s. We host in the UK where you need it and design for UK GDPR from the start.
Language modelsRetrieval and searchAI agentsDocument understandingComputer visionSpeechForecastingEvaluation
Partners and standards
Who we work with, and the standards we build to.
Claude Partner Network
Member of Anthropic’s partner programme for companies building with Claude.
NCSC secure AI guidelines
We follow the UK NCSC’s guidelines for secure AI system development.
UK GDPR by design
Built for UK GDPR and the Data (Use and Access) Act 2025 from day one.
Open, tested models
Our models are published with their full test results and limitations.
Platforms
We’re model-agnostic. We pick what fits your problem, budget and data rules.
Anthropic ClaudeReasoning, writing, agents
OpenAIGeneral-purpose models
Google GeminiMultimodal models
Open-weight modelsLlama, Mistral, Qwen, Gemma
Hugging FaceModel hub and training tools
AWS BedrockManaged models, UK and EU regions
Microsoft AzureEnterprise AI and Microsoft 365
Google Vertex AITraining and deployment
PyTorchCustom training
vLLM and llama.cppSelf-hosted and on-device serving
Insights
Plain-English guides for leaders making AI decisions.
Regulation
UK AI regulation in 2026: what businesses need to do
No single AI Act, but plenty of rules. What applies to you, and a checklist to act on.
Read the guide →Models
Prompting, RAG, fine-tuning or a custom model?
How to choose the right level of AI for your problem, without overspending.
Read the guide →Strategy
Your first AI project: how to pick one that ships
A simple way to score use cases and avoid the pilots that never go live.
Read the guide →