Artificial Intelligence

The program connects model development, task design, context, and evaluation around a defined class of problems. It considers how a system represents a task, uses supplied information, and produces an answer that can be inspected. The client’s task determines which images, text, documents, and structured records belong together. Source handling and modality interfaces are developed around the interpretation the application must support. Agent Platform connects models with permitted tools, task state, and operating workflows. Each agent has an explicit scope, accessible records, authorized actions, and a path for escalating decisions to a person. Model Evaluation builds evaluation sets, test environments, and review workflows around an AI system’s intended use. Tasks, sources, failure modes, and acceptance criteria are stated before a comparison or release decision. Industrial AI develops model-driven workflows for industrial information, inspection, planning, and operator support. The task, observations, constraints, and decisions reserved for people define the application.