NLX
NLX Inc. (acquired by Amazon Web Services in 2025) · Marketing · Chatbot
NLX is a no-code platform for building voice, chat, and multimodal conversational apps. Teams design flows on a visual canvas and launch them without heavy engineering work.
About NLX
What Is NLX
NLX is a conversational AI platform that lets business teams build, deploy, and manage chat, voice, and multimodal applications without writing code. It was founded in 2018 in New York by brothers Andrei and Vlad Papancea, and it grew out of their work building conversational systems for a Fortune 100 financial services company.
The core idea is a visual builder called Canvas, which the company describes as the conversational equivalent of Figma. Instead of wiring up channels, speech services, and models by hand, teams drag components onto a flow, connect the pieces, and connect their own large language models or the built-in options.
The practical result is that a support team can assemble an app that answers questions, looks up orders, and hands a caller to a human when needed. The main catch is scope: NLX is built for companies running real customer conversations, so the freemium tier caps how many conversations you get, and the deepest integrations assume you live inside a cloud contact center.
Note: NLX was acquired by Amazon Web Services in April 2025 and is now part of Amazon Connect Customer. The standalone nlx.ai site redirects there, and new product development flows through Amazon Connect.
Getting Started
- Create a free account on the NLX platform and claim the one-time $20 starting credit.
- Open Canvas and pick a template or start a blank flow, then drop in the nodes you need.
- Add a channel such as web chat or voice, and connect an LLM provider or use the default one.
- Test the flow in a preview session, fix the rough edges, then publish it to your site or app.
- Watch conversations in the analytics view and iterate on the flows that underperform.
Product Information
A quick look at NLX's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Customer support and CX teams
- Non-technical builders and entrepreneurs
- Software developers
Tasks
- Answering routine support questions
- Order lookup and account updates
- Voice and chat self-service on one flow
Scenarios
- A contact center moving to self-service
- A startup testing a conversational idea
- A brand that needs a multilingual assistant
Key features
No-Code Canvas Builder
Canvas is the heart of NLX. Teams lay out conversation flows on a visual workspace, dragging nodes and connecting them, and the platform handles the channel and infrastructure work underneath. The company frames it as a Figma-style tool for conversation design, so the people closest to the customer can shape the experience.
Generative Journey
Generative Journey pairs free-form, unscripted conversation with structured workflows. Answers stay flexible when a customer goes off-script, but the flow still follows the steps a business needs, such as verifying an account before sharing details. That mix is what keeps a generative app from wandering during a sensitive task.
Voice+ Channel Sync
Voice+ synchronizes voice with digital channels. A person can begin on web chat and move to a phone call mid-conversation, and what they see on screen matches what they hear. For support teams this cuts the usual "please repeat that" loop that frustrates customers.
Touchpoint Multimodal Interface
Touchpoint is an out-of-the-box interface that mixes chat, voice, images, and video in one conversation. It suits use cases where a text box is not enough, like walking someone through a product setup or showing a repair step. The interface ships ready to embed rather than as a blank slate.
Built-In LLM Integrations
NLX connects to several large language models out of the box, and you can swap providers or bring your own API keys from a menu. That flexibility matters because model prices and quality shift fast, and teams do not want to rebuild an app each time they change underlying models.
Conversation API and Developer Tools
A RESTful Conversation API and SDKs let developers wire NLX into existing systems. Teams use it to send messages, pull transcripts, and trigger logic from their own code. The developer docs also cover integrations, which helps when a project outgrows the visual builder.
Pros and cons
Pros
- The no-code Canvas works as a no-code chatbot builder, letting non-technical teams build and edit conversational apps, which shortens the path from idea to a live flow.
- Freemium pricing with a free tier and per-conversation billing keeps a pilot cheap and scales costs with actual usage, so conversational AI pricing tracks what you actually spend.
- Voice, chat, and multimodal experiences run on one platform, so you are not juggling separate tools for each channel.
- Built-in LLM choices and API keys give teams room to switch models without rebuilding the application.
- A REST API and SDKs make the platform usable for developer-led projects, not just business users.
Cons
- The free tier caps usage at 10,000 conversations per month, so higher-volume products pay per conversation and costs climb with traffic.
- The deepest integration assumes a cloud contact center, which means some value depends on adopting the broader set of Amazon Connect services rather than a standalone tool.
- Since AWS acquired NLX in 2025, the standalone roadmap is gone and future direction is tied to Amazon Connect Customer, so buyers should plan around that.
- Some reviewers note that the initial setup can take time to get right, which is a real cost for teams expecting instant results.
Frequently asked questions
NLX builds conversational applications that handle voice and chat with customers. Common uses include support automation, order lookup, account updates, and knowledge base Q&A, all assembled on a visual canvas without deep coding.
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