
Agentic AI
Agentic AI combines the language and reasoning abilities of LLMs with real-time context, memory, tools and enterprise governance to create AI Agents that understand intent, flexibly handle digression and multi-turn conversations, and take action based on the conversation context in contrast to classic linear flows. Cognigy.AI allows for seamless combination of Agentic AI with deterministic, rule-based automation, enabling enterprise control where needed and adaptability for sophisticated interactions (Hybrid AI).AI Agent Studio
Cognigy’s AI Agent Studio offers a low/no-code collaborative, visual interface for business users, conversation designers and developers to co-create, deploy and manage AI Agents. It provides AI-assisted design, powerful tooling for scalable testing and debugging, and 100+ channel and system connectors, accelerating development and time-to-value. You can create projects, manage resources like LLMs and collaborate in real time on Agents.Knowledge AI
Cognigy.AI can ingest existing knowledge sources such as documents or internal repositories like SharePoint or Confluence into vector databases. AI Agents then employ Retrieval Augmented Generation (RAG), enabling the AI Agent to accurately answer user queries in natural language based on the individual conversation context, instead of a standardized reply.NLU
Cognigy NLU is an intent-driven Natural Language Understanding AI solution for building deterministic or rule-based processes. Hybrid AI Cognigy.AI enables you to combine NLU with the language understanding and generation power of LLMs. This can be useful in extracting multiple entities from a single user utterance for example or understanding more complex utterances such asme, my wife and our two kids
which an NLU can mistake as two people based on the word where as an LLM would understand the user means four total people. Cognigy’s AI Agents can be built purely with NLU, purely with Agentic AI or using both within the same project and even within the same Agent.