💡 We transform Large Language Models (LLMs) like GPT-4, Claude, Gemini, and Llama into self-improving cognitive agents that continuously adapt, learn, and specialize in your domain.
Cognitive Agents augment any LLM model, making them more adaptable without requiring full retraining.
Traditional LLMs degrade over time, but Cognitive Agents improve with every
interaction.
Instead of a "one-size-fits-all" AI, Cognitive Agents create adaptive, user-specific AI experiences.
Our Cognitive agent API enhances existing models without requiring expensive retraining or vendor lock-in.
Deploy quickly and extend functionality with plug-and-play AI intelligence.
Many AI systems rely on Retrieval-Augmented Generation (RAG) to fetch documents, but RAG struggles with real-time decision-making and multi-domain expertise. Titan’s Cognitive Agents go further by integrating:
Retrieves relevant Data; Processes & applies context dynamically
Continuously refines responses based on evolving interactions
Retains user-specific knowledge & business logic over time
Specialized agents collaborate for domain-specific insights
Agents interpret, filter, and refine responses before feeding the LLM
Agents ensure compliance & adherence to internal rules
Works with any LLM model—no need for embedding compatibility between retrieval and generation.
Continuously adapts based on new data, so your AI improves with every interaction.
Easily manage memory, contextual relationships, and knowledge evolution of the cognitive agent.
Create more intelligent applications that understand the context, reason over data, and remember past interactions.
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