Introduction
Create intelligent conversational applications with NLX
NLX offers an all-in-one platform for creating and managing advanced conversational AI experiences. Whether you’re launching a handsfree Voice+ app, an immersive chat interface, or an agentic AI application that reasons and acts, NLX provides everything to design, deploy, and scale in one place.
How NLX powers conversations
NLX’s conversation engine orchestrates every layer of your conversational AI stack. From application design and workflow automation to data integrations, analytics, and access management. It brings together the systems, models, and tools needed to build scalable intelligent interactions.
With NLX, you can design and deploy applications that automate tasks, connect to APIs and knowledge bases, support multiple languages, and deliver real-time insights. Built-in tools for analytics, conversation review, and role management make it simple to monitor performance, refine experiences, and keep your applications running smoothly.
Under the hood
Our conversation engine orchestrates communication between your frontend interface, backend systems, and connected services. It tracks conversation state (every turn between the user and your app) to maintain continuity, support debugging, and feed powerful analytics.
Put simply, the NLX engine handles three main functions:
Sending and receiving messages between users and your application on any channel
Calling custom or managed APIs, LLMs, CCaaS and more to exchange data in real time
Assembling your conversation logic, messaging, and prompts into a deployable build
Built-in AI capabilities
Agentic app: Execute complex, multi-step tasks by combining API calls, knowledge retrieval, and user input, all within a single node
Async Worker applications: Create fully autonomous agents that can search the web, generate content, compile PDFs, or perform custom workflows using managed or custom APIs
Intent classification with NLX Boost: Improve flow detection accuracy by up to 90% compared to traditional NLP alone
Slot capture: Collect multiple user inputs naturally, even when details are provided out of order or revised mid-conversation
Conditional logic & data transformation: Dynamically branch conversations or filter data sources to deliver more relevant personalized responses
Training data: Automatically produce sample utterances for training NLP engines with intent detection
Tests: Instantly create variations of test inputs to validate your model’s accuracy and coverage
BYO LLM
Integrate your preferred large language model (LLM) to power AI-driven logic, reasoning, and messaging within your NLX flows. Connect a model to generate text, automate decisions, and extend your agentic capabilities.
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