Development of software systems designed around a specific AI, scientific, analytical, or computational problem.
The work can cover requirements analysis, system architecture, model integration, data processing, interface development, deployment, and maintenance.
Custom systems are appropriate when an existing generic product cannot adequately represent the data, workflow, or computational requirements of a project.
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.