AI document redaction
An AI redaction app on Azure and the Power Platform for a professional membership body. It finds personal information in documents, with staff approving every redaction.
Custom AI solutions
AI models designed for your own use cases.
We design and build bespoke AI models for predictive analytics, natural language processing, computer vision and intelligent decision making, then integrate them into your existing systems with as little disruption as possible. Every model is tested and refined until the results are accurate and reliable enough to act on.
Related services
Custom AI and the services around it.
A bespoke model sits on top of a strategy, a design and a secure platform. These services cover those parts.
Azure AI services
Prebuilt language, vision and document services that custom models build on.
AI data analysis
Power BI and Azure Machine Learning to report on and forecast from your data.
AI governance
Built in security controls and policies for bespoke AI.
AI strategy consulting
Decide which problems deserve a custom model first.
33 ships
using a Power Platform app with trend analysis for predictive maintenance
2 hours
for our readiness workshop before an AI rollout
20+ years
of Microsoft experience behind the team
How we work
How a custom AI project runs.
01
Discovery
We define the use case, the data available and what an accurate, useful result looks like for your organisation.
02
Design
The model design and integration plan, with built in security controls for your workload and hybrid environment.
03
Build
We build the model and integrate it into your existing systems and workflows so operations carry on without interruption.
04
Train
Training for the teams using the outputs and the people responsible for the model.
05
Go live
We test and optimise the model, deploy it and keep supporting it as your needs change.
Case studies
Case studies we have delivered.
Read the AI redaction case study
AI readiness for a data centre operator
A Copilot readiness assessment, Copilot and data governance policies and an eight week remediation plan for a UK data centre operator, plus the first business process to hand to an AI agent.
FAQ
Frequently asked questions.
What kinds of AI models do you build?
Models for predictive analytics, natural language processing, computer vision and other AI applications, designed around your use cases.
Will the solution fit our existing systems?
Yes. We integrate bespoke AI into your existing systems and workflows with minimal disruption.
How do you make sure the results are reliable?
We test and optimise the models through careful evaluation and refinement until they give accurate, reliable results.
Is the solution secure?
We use built in security controls and services to protect your workload and wider hybrid environment.
Do we need large amounts of data?
Not always. We assess your data readiness early and can work with smaller datasets using transfer learning, or help you build a data strategy first.
How long does a custom AI project take?
A focused pilot typically takes 8 to 12 weeks. Full production deployment, including integration and testing, usually runs 3 to 6 months depending on scope.
Will we own the AI models you build?
Yes. All IP created during your project belongs to you, with full documentation, source code and training handed over.
Talk to our custom AI team.
Tell us what you are working on and we will come back to you within one working day to arrange a call.