I KNOW WHAT YOU MEAN
Titan general-purpose cognitive agents enhance applications, websites, devices, and bots with the ability to learn, understand, and act on users' needs.
The agents communicates in natural language, and all their functionality is accessible through a single API.
Titan agents are software agents who use a set of integrated cognitive skills to extract information, encode meaning through logic and reasoning, communicate in natural language, and learn from interactions with users and other agents.
Titan cognitive agents brings AI within reach of everyone. With its holistic approach to simulating intelligent behavior and natural language ability, Titan provides a horizontal layer that unlocks a variety of use cases for adding cognitive skills to applications. All it takes is an API call to embed the ability to learn, understand, search, instruct, answer, simulate, and predict outcomes. Due to Titan’s natural language interface, developers and non-developers can apply the engine to business operations, strategic planning, and decision-making processes.
You can build effective and scalable natural language solutions from semantic search to conversational agents to insight discovery
Turn static documents into a dynamic source of knowledge to help enhance your decision-making.
Use Cases:
Knowledge mining solutions, cognitive search, question answering systems.
Add your business logic for more contextualized and customized actions, and analyses.
Use Cases:
Digital twins, business process automation, industrial automation, IOT.
Customize AI agents that understand human conversations and interact naturally.
Use Cases:
Virtual assistants, chatbots, digital workers, cognitive agents, conversational AI.
Perform advanced scenario planning and contingency management across all your automated services.
Use Cases:
Recommendation engines, fraud detection, progression modeling.
You can quickly leverage Titan's integrated set of cognitive skills to turn unstructured textual data into a dynamic resource of knowledge
Titan cognitive agents use breakthrough, proprietary technology to extract facts —not patterns— from textual information and represent these facts in a knowledge graph.
You can interact with the agents in natural language to ask questions, give instructions, and extract responses, entities, relationships, and other contextually relevant information.
Titan cognitive agents learn —and remember— in several ways.
1- Agents build real-time models from unstructured information they receive through the Titan API.
2-Agents continuously observe interactions and build new relationships in the graph.
3- Agents learn from probing and simulating different scenarios in the graph (metacognition).
Titan cognitive agents use both logic and probability to reason about knowledge in their knowledge bases.
All of Titan's reasoning and consequent results are reproducible and explainable.
Agents maximally encode information they receive in the knowledge graph and use inference and memory to understand content in context.
Titan cognitive agents embody the AI. Each agent is responsible for its knowledge base and can collaborate with other agents to solve problems beyond its capacity.
Titan enables agent-to-agent interaction and broad scale, flexibility, responsiveness, maintainability, robustness, and computational efficiency through the distribution of work across several agents.
You can reduce the cost, complexity, and time-to-market required to develop modern solutions through a thin and non-intrusive add-on layer
We develop and integrate several cognitive skills into a single engine, so you don't have to worry about the complexity and risk of building AI-driven solutions.
You can build, share, and monetize your solutions quickly to generate revenue. just a single API is all you need.
You can customize your solutions and deploy them on the cloud, at the edge, or entirely offline to support low-latency/low-bandwidth applications and environments.
You have complete control over your AI, data, privacy, and intellectual property. We offer a thin and non-intrusive layer through models that are data-independent.