An autonomous research agent that scopes a topic, retrieves sources, synthesizes findings, and produces structured research drafts.
A focused agent for systematic literature discovery across academic databases, optimized for speed, coverage, and relevance.
Agentic AI systems go beyond prediction. They pursue goals, plan actions, execute tasks, and reflect on outcomes in an ongoing feedback loop.
Unlike traditional machine learning models that produce static predictions, agentic AI systems operate as closed-loop decision makers. They continuously reason about objectives, evaluate information, take action, and adapt based on feedback from the environment.
Agentic AI represents the transition from intelligent prediction to autonomous action.