Titan AI is a full-scale cognitive automation platform. It replicates and integrates several cognitive skills like continuous learning, natural language understanding, contextual reasoning, physics-based simulations, and agent interaction into a single software tool for building intelligent entities and applications.
At a high level, Titan AI is comprised of several components that work together to model and simulate real-world scenarios and enable users to interact naturally with digital information:
Cognitive Interfaces (CI): Cognitive interfaces play a key role in human-machine interactions: The more natural the exchange, the better the collaboration. The primary interface for Titan AI today is natural language. In the future, Atlas cognitive and immersive agents (see product roadmap) will introduce other 3D spatial interfaces.
Cognitive Environments (CE): For any AI to work well, it needs to have a model of the problem it is trying to solve. Titan CE uses a dynamic multi-layered ontology (a digital mesh) to represent knowledge. The mesh updates in real-time and hosts a representation of people, concepts, events, processes, agents, and data into a unified human-readable environment.
Cognitive Agents (CA): AI can be a simple algorithm designed to seek out patterns and classify them or a full-fledged agent working to solve complex problems that require completing a series of tasks. Titan CA is the latter, a software entity with an integrated set of intelligence subsystems for acquiring knowledge, understanding content in context, orchestrating tasks, and communicating naturally. Cognitive agents are to cognitive environments what humans are to the real world.
Cognitive Exchange (CX): Titan CX facilitates natural language-driven interactions between different agents and environments. The equivalent of a mini cognitive internet, Titan Exchange provides the framework for inter-domain communication and value transfer.