We design, deploy and look after the environment your application, its data and its AI features run in, with ownership agreed before anything goes live.
Start with a new application, an AI feature, a data connection or an existing system that needs to move or improve. We shape the infrastructure around that need.
Turn the application’s traffic, data, integration and access needs into a cloud environment designed for the work it must do.
Put application services, model connections, retrieval or processing layers and release checks together so AI can run within useful software.
Connect applications, approved sources and processing steps so information reaches the right process in the form it expects.
Assess what runs today, plan the move or modernization, and focus changes on performance, configuration or cloud spend for that system.
We assess the application, design the environment, build or migrate what is needed, then test and hand it over with the technical decisions recorded.
An application-specific architecture, deployment approach and clear technical assumptions.
The designed environment and application configured, connected and checked for release.
Configuration, access ownership, day-to-day roles and the next actions your team needs.
Deployment can use your AWS or Azure account or Kastling-hosted infrastructure. The right option depends on the application and how your team wants to manage it.
Your organization owns the account and cloud usage. Kastling designs and deploys the environment with the access required for delivery.
Kastling provides and administers the hosting account for the application, with usage and responsibilities agreed before deployment.
Before deployment, we agree account ownership, access and ongoing responsibilities in writing. We scope operational support separately.
We will help you identify the environment and next step that fit the application.