Derived from highly variable, often unstructured data sources, such as videos, voice recordings, gestures, diagrams, or other idiomatic inputs, and combining them to derive new insights.

Arise from university-backed research, using proprietary data and custom models to deliver unique insights in unexplored domains that have potentially transformative business value.

Mimic the decision-making process of human experts in specific fields. Expert systems complement human experts, through direct and indirect interaction with an inference layer that bridges the user and the knowledge base.

Use collections of AIs that operate autonomously to achieve goals, without needing to be triggered. Chaining and orchestration coordinate those AIs to satisfy complex requests, and they often learn and adapt based on the results.