AI and data science as a service gives you ongoing access to AI models, analytics and data expertise through a managed subscription. We build, host, monitor and improve the solution, and you use the results, without hiring a full in-house team or running infrastructure.
Not every company wants to build and run its own AI team or infrastructure. With AI and Data Science as a Service, you get production-ready models, hosted APIs, analytics and training data on a flexible subscription, with our experts handling operations behind the scenes.
This model is ideal for startups, SaaS providers and growing businesses that need AI capabilities quickly and predictably, without large upfront investment in hiring or hardware.
Subscription services that deliver AI capabilities without the overhead of building them in-house.
We start with a short onboarding to understand your data and goals, configure the service, agree service levels and then deliver continuous updates, reports and improvements under a transparent monthly plan.
Services run on Azure or AWS with containerised models, API gateways and autoscaling. Models are built in Python and managed with MLOps tooling for versioning, monitoring and retraining. Insights are delivered through Power BI and Microsoft Fabric.
Each service is offered as a subscription with a set-up phase. If you later want to take the work in-house, we can hand over models, code and documentation, or help you hire data scientists and ML developers. For one-off builds, see AI and ML development services.
Want AI results without building a team? Tell us your goals, and we will recommend the right managed service. Start your AI journey.
Answers to common questions about our AI & Data Science as a Service.
Plans are typically monthly, based on usage volume, number of models or reports and support level, with no large upfront fees.
Yes. Each client gets isolated environments, encrypted storage and access controls, with options for dedicated cloud deployments.
Yes. We can transfer models, pipelines and documentation to your team when you are ready.
Set-up usually takes two to six weeks, depending on data access and the service chosen. Hosting an existing model can be faster.
It suits organisations that want AI or analytics results without hiring a full team, including growing businesses and larger companies that need extra capacity or a specific capability.
Each plan includes monitoring, maintenance, agreed response times for issues and regular review meetings. The exact service levels are set out in the agreement.
Yes. For example, training data services can feed a model that we then run as a service, with results shown in a data insights dashboard.
