Services
The part where it actually gets used.
Our teams work alongside yours — strategy, engineering, data and domain specialists — to take AI from a promising idea to something running in production under real accountability.
How we engage
Four stages. No mystery in between.
Every engagement follows the same arc, sized to the problem. You always know which stage you are in and what has to be true to reach the next one.
Frame
A short, intense discovery. We sit with the people doing the work, read the data, and write down what success would actually look like in numbers.
Prove
A narrow build against real data with a pre-agreed evaluation. If it does not clear the bar, we say so and you have spent weeks, not quarters.
Deploy
Production hardening: integration, security review, monitoring, and the change management that decides whether anyone actually uses it.
Operate
Ongoing evaluation, retraining and reporting — either run by us, or handed to your team with the documentation to own it.
What we do
Six practices.
AI Strategy & Opportunity Mapping
A structured read of where AI actually creates value in your operation — and where it does not. We map use cases against data readiness, regulatory exposure and expected return, then sequence them.
What you get
- Use-case portfolio with scored business cases
- Data readiness and gap assessment
- Reference architecture and build/buy recommendation
- 12-month delivery roadmap
Custom AI & ML Engineering
Applied model development for problems no off-the-shelf product solves: computer vision, forecasting, document intelligence, and domain-tuned language models built for your data.
What you get
- Problem framing and evaluation design
- Model development, tuning and benchmarking
- Production deployment with monitoring
- Handover documentation and team enablement
Data Platform & Modernisation
The unglamorous work that determines whether anything else succeeds. We consolidate fragmented systems into a governed, queryable foundation your models and analysts can both rely on.
What you get
- Target-state data architecture
- Pipeline build and legacy migration
- Data quality, lineage and cataloguing
- Cost and performance optimisation
Geospatial & Remote Sensing Services
Specialist capability for location-heavy problems: imagery pipelines, annotation programmes, custom detection models and spatial analytics delivered as a managed service.
What you get
- Imagery acquisition and processing pipelines
- Labelled training datasets and QA
- Custom detection and classification models
- Analyst-ready deliverables and map services
Digital Health & Compliance Engineering
Building software that touches patient data means proving it is safe. We design, build and document health systems against HIPAA, HL7/FHIR interoperability and clinical safety expectations.
What you get
- HIPAA and security control implementation
- FHIR / HL7 interoperability build
- Clinical workflow design and validation
- Audit evidence and compliance documentation
Managed AI Operations
Models degrade quietly. We run yours — monitoring drift and cost, retraining on a schedule, holding an SLA, and reporting on performance in language your board can read.
What you get
- 24/7 monitoring and incident response
- Scheduled retraining and revalidation
- Cost and performance optimisation
- Quarterly performance and risk reporting
Ground rules
What we commit to before you sign anything.
You own the models and the data
Weights, pipelines, documentation and IP developed for you transfer to you. No hostage architecture.
Evaluation is agreed in advance
We write down the metric and the threshold before we build, so nobody grades their own homework afterwards.
We will tell you not to build it
If the honest answer is a rules engine, a database fix, or a process change, that is the recommendation you get.
Fixed scope, fixed price where it is fair
Discovery and proof stages are fixed-fee. Open-ended time and materials is not a plan.
Start a conversation
Tell us what is slow, expensive, or invisible in your operation.
We will tell you honestly whether AI is the right answer — and if it is, exactly what it would take to get there.