Integration of AI models and services into existing applications without requiring the entire software system to be rebuilt.
Integration may involve APIs, existing databases, authentication systems, application workflows, background processing, and user interfaces.
Typical cases include adding AI search, document processing, assistants, prediction, or analytical features to established systems.
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.