Production AI your team can run, built on your data.
Machine learning for fraud, forecasting, recommendations, and automation, across fintech, HR tech, travel, and more. You own the models and the data.
Results from production systems
Figures from four client systems we built and deployed. Each one is written up in full, with how it was measured, in our case studies.
£3.2M
Annual fraud losses prevented
92%
Fraud prevented
22%
Conversion uplift
100k+
Credit decisions scored daily
Companies we've worked with
Established companies across fintech, HR tech, and travel have put our machine learning into production.
Where are you right now?
Three ways this usually starts. Pick the one that sounds like your week.
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We think this could work, but we need proof before we can get budget approval.
A fixed-price proof of concept in 3 to 4 weeks, built on our infrastructure so your IT security queue is not on the critical path. It ends in a go or no-go with the measurements behind it.
Validation phase -
We want you as the brain of the project, doing architecture and guiding our team.
Weekly architecture and review sessions. Your engineers build it, we are accountable for the technical calls, and the knowledge stays with you.
Fractional CDO and advisory -
The timeline has to work with the budget. We need something tangible with clear milestones.
Two-week milestones with a working demo at each one. Deployed on AWS or GCP, with private VPC and on-premise where the data has to stay put.
Development and implementation
From the first call to a result you can measure
What the first six weeks look like, and what each step costs before you commit to the next one.
- Day 0 A 30-minute call
You describe the problem. We tell you whether we can help, and say so plainly when we cannot.
No obligation - Within a week A written scope
What we would build, what it needs from you, and a fixed price. Or a short note saying this is not worth doing.
- Weeks 1 to 4 Validation
A proof of concept with weekly milestones, built on our infrastructure so an IT security review is not on the critical path.
Fixed price - End of week 4 Go or no-go
A decision with the measurements behind it. No-go is a real outcome and it has happened.
- Then: we build it
We write it, integrate it and put it into production on your infrastructure.
- Two-week milestones, with a working demo at each one
- AWS, GCP, private VPC or on-premise where data sovereignty requires it
- Risk is shared between both sides
- Or: your team builds it
We design the architecture and review each sprint. Your engineers write the code and keep the knowledge.
- Sprint-by-sprint guidance and reviews
- Knowledge transfer to your team
- Weekly cadence, with clear ownership boundaries
Why we build rather than configure
Three things a bespoke system does that a subscription cannot. Each one is measured on a client system and written up in full.
- <300ms Fast enough to sit inside the transaction
A model tuned to one job runs in the request, not after it. The decision engine scores over 100,000 credit decisions a day inside 300 milliseconds.
Real-time decision engine - £3.2M Trained on your data, not the average
Fraud patterns are specific to a business. A model built on one client's own transaction history prevented £3.2M of losses a year, at 97% alert precision.
Enterprise fraud detection - Yours The model and the data stay with you
Deployed on your cloud, your private VPC or your own hardware. No third party holds the data, and you keep the models and the code.
AI security and deployment
What we build on
We work in the modern data and AI stack rather than a single vendor's version of it. AWS is the one formal partnership we hold; Google Cloud is our preferred platform and everything else here is a tool we use daily.
Cloud
- AWS Partner
- Google Cloud
- On-premise and private VPC
LLM and agent engineering
- Anthropic
- LangChain
- LangGraph
- LlamaIndex
Modelling and training
- PyTorch
- TensorFlow
- TFX
Data platform
- dbt Labs
- Fivetran
- Apache Airflow
Analytics
- Custom analytics and audit tools
Naming a tool here means we have shipped production systems with it, not that we resell it. AWS Partner is a formal status; the rest are the things we reach for, and we will use yours where you already have one.
We go deep in every sector. Travel, for example.
For travel operators, that means itinerary drafting, enquiry triage, demand forecasting, and marketing attribution, with your team owning the models: see what that looks like in travel, the rest of our services, or the work itself. We bring the same depth to fintech, HR tech, and beyond.
Technical Expertise You Can Trust
Our bespoke solutions are backed by technical depth documented in published books by our director
