Enterprise solutions around your data
Business systems, process change, AI models and sector analytics, so the data your company produces is accurate and put to use.
Four services around the data
These cover the systems that create your data, the way your teams work with them, and the models and advice that put it to use.
- 01
Enterprise Technologies
Modernise core business systems and legacy software.
- A review of core business systems and legacy software
- Integration between ERP, CRM and internal tools
- Modernising or replacing systems in phases
- APIs so data leaves these systems cleanly
The work can involve: ERP and CRM platforms, REST APIs, .NET, Java.

- 02
Digital Transformation
Move manual processes onto data-driven systems.
- Mapping work that still runs on paper, email or spreadsheets
- Moving it onto systems that record data
- A phased plan your teams can absorb
- Reporting on the new process from the start
The work can involve: Workflow tools, low-code platforms, cloud applications.

- 03
AI & ML Model Integration
Put trained models to work inside your systems.
- Deciding where a model can help, and where it cannot
- Serving trained models inside your applications
- Forecasting and classification use cases
- Checking model accuracy after launch
The work can involve: Python, scikit-learn, MLflow, cloud ML services.

- 04
Industry Analytics & Consulting
Analytics and advice shaped to your sector.
- Which numbers matter in your sector
- Analytics models shaped to how your sector works
- Regulatory reporting where your sector needs it
- Advice on what to build first
The work can involve: Sector KPIs, forecasting models, BI tools.

Where each conversation starts
Enterprise work rarely arrives as a service name. It arrives as a problem. These are four we hear often, and the service that starts the answer.
“We know our sector, but not which numbers to watch.”
Industry Analytics & ConsultingAnalytics and advice shaped to your sector.
“Our core system is old, and every change to it is risky.”
Enterprise TechnologiesModernise core business systems and legacy software.
“Too much of our work still runs on spreadsheets and email.”
Digital TransformationMove manual processes onto data-driven systems.
“We built a forecasting model, but nobody uses it in daily work.”
AI & ML Model IntegrationPut trained models to work inside your systems.
What the work includes
- Advice based on your own systems and data, not a generic template.
- Changes made in phases your teams can absorb alongside their daily work.
- Security and compliance considered from the first plan, not added at the end.
The rest of the stack
The same team covers the other two groups, so work that crosses them stays with one set of engineers.
Data Services
Store, move and report on your data, in batches or as it happens.
Cloud, DevOps & Security
Where your systems run, how changes reach production, and who can reach your data.
Prefer to see everything at once? All twelve services on one page
Talk to us about your business systems
Tell us which systems you run and what you want to change. An engineer from our team will get back to you to set up a call.
