Development and deployment of online services that expose AI capabilities through web interfaces or programmatic APIs.
Services can include inference endpoints, authentication, usage control, asynchronous processing, queues, caching, and monitoring.
Examples include model APIs, online scientific tools, AI assistants, analytical services, and specialized computational endpoints.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.