Model as a service is a subscription in which we build, host, monitor and retrain a machine learning model for you, and you use its predictions through an API or files, so you benefit from AI without hiring a data science team or running infrastructure.
Get the benefit of predictive models without maintaining them. Our Model-as-a-Service offering provides hosted, industry-specific models for forecasting, demand planning, quality and risk, continuously retrained and improved as part of your subscription.
Provide AI models with continuous updates and hosting. At Prominent AI Services LLP, we deliver model as a service end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Provide AI models with continuous updates and hosting.
Ideal for: Manufacturing, Retail, Logistics. 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.
Models are built in Python with scikit-learn, XGBoost, PyTorch and time-series libraries, then served through secure APIs hosted on Azure or AWS. Predictions can also be delivered as scheduled files or written directly to your database or CRM. Monitoring, versioning and retraining follow MLOps practices.
The service is a monthly subscription covering hosting, monitoring, retraining and support. If you prefer to own and run the model yourself, we can build it as a project and hand it over, or host it through custom AI API hosting. You can also hire data scientists.
Need predictions without building a data science team? Tell us what you want to predict, and we will propose a service plan. Start your AI journey.
Common questions about our Model-as-a-Service services.
Demand forecasting, inventory optimisation, churn prediction, quality defect detection and risk scoring, adapted to your data.
We retrain on fresh data on an agreed schedule and monitor accuracy continuously.
Through APIs, scheduled file exports or dashboards, whichever fits your workflow.
There is a one-time set-up fee for building the first model, then a monthly subscription for hosting, monitoring and retraining. The fee depends on data complexity and prediction volume.
For most use cases, the first model is built and delivering predictions within six to ten weeks, depending on data readiness.
Your data always remains yours. Ownership of the model and code is agreed in the contract, including the option to transfer it to your team.
No model is perfect. We agree acceptable accuracy up front, report it monthly and retrain or redesign the model if it falls below the agreed level.
