Design and development of larger software platforms that combine AI capabilities with data, users, workflows, and application services.
Platform projects may include modular architecture, APIs, databases, background jobs, permissions, analytics, and AI model services.
They can support research, enterprise knowledge, scientific data, online AI services, and specialized computational workflows.
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.