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    NLX

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    Sold by: NLX 
    Deployed on AWS
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    Build, manage, and analyze all your conversational AI applications in one place.
    4.4

    Overview

    NLX offers the most comprehensive, end-to-end conversational AI platform for everyone - from individual builders to large enterprise brands. Our platform empowers you to build not only powerful but beautiful world-class multimodal (chat, voice, and Voice+™) experiences. Sitting at the intersection of conversational and generative AI, our no-code platform makes it easy for all users, regardless of technical expertise, to build, manage, and analyze automated conversations across any combination of channels.

    The NLX platform is incredibly flexible, designed to handle even the most unique challenges with out-of-the-box or custom solutions. It seamlessly integrates with all your existing channels, systems, and unique business processes. We also provide customizable analytics and alerting capabilities to eliminate guesswork, giving you peace of mind that your customers are always getting the best possible automated experience.

    Key features include:

    • Integrations with Amazon Bedrock, Anthropic, and other Enterprise LLMs
    • Access to Voice+, our patented multimodal voice technology
    • Improved intent detection accuracy of standard NLPs
    • Generative responses from knowledge sources that you trust
    • Channel grouping for single-flow multichannel deployment
    • Customizable multimodal (chat, voice, and Voice+) self-service experiences
    • Seamless personalization for more satisfying conversations with Touchpoint
    • Generative-AI-powered conversation builder

    Highlights

    • Design all conversations visually in a simple, no-code canvas
    • Build faster with thoughtful generative AI-powered features
    • Deploy one-step integrations with Amazon Connect, Amazon Bedrock, Amazon Chime SDK, and Amazon Lex

    Details

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    Deployed on AWS
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    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (7)

     Info
    Dimension
    Description
    Cost/unit
    Chat conversation
    Chat conversation
    $0.20
    Voice conversation
    Voice conversation
    $0.20
    Multimodal conversation
    Multimodal conversation
    $0.20
    Monthly subscription
    Monthly subscription fee for access to the platform
    $0.00
    Conversation
    Chat, voice, and multimodal AI conversations
    $0.20
    Conversation (Overage)
    Overage fee for chat, voice, and multimodal AI conversations
    $0.00
    Agentic Execution
    Agentic execution
    $0.10

    Vendor refund policy

    Since we charge on a Pay-As-You-Go manner, we do not typically offer refunds. We do recognize that special circumstances can occur and we are happy to assist you. Should you feel that you were wrongfully charged, please reach out to support@nlx.ai  and we'd be happy to assist you.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    You can reach us through the Support page in the NLX platform. support@nlx.ai 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    10
    In Customer Support
    Top
    10
    In Contact Center
    Top
    100
    In Natural Language Processing

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    3 reviews
    Insufficient data
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    0 reviews
    Insufficient data
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    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Large Language Model Integration
    Integrations with Amazon Bedrock, Anthropic, and other Enterprise LLMs for powering conversational responses
    Multimodal Communication Channels
    Support for chat, voice, and Voice+ (patented multimodal voice technology) across multiple channels with single-flow deployment
    No-Code Conversation Design
    Visual conversation builder with no-code canvas for designing and managing conversational flows without requiring technical expertise
    Intent Detection and Natural Language Processing
    Improved intent detection accuracy compared to standard NLP systems for better understanding of user inputs
    Customizable Analytics and Alerting
    Customizable analytics and alerting capabilities for monitoring and analyzing conversational AI application performance
    Omnichannel Engagement Platform
    Native omnichannel engagement applications including voice engagement, studio and routing capabilities for customer interactions across multiple channels
    AI-Powered Automation
    AI-powered virtual agents, agent assist, AI trainer, and generative AI solutions for automating customer service processes and enhancing agent capabilities
    Unified Analytics and Reporting
    Integrated customer experience analytics with live and explore standard reporting, dashboards, and workflows accessible through a single pane of glass interface
    Workforce and Knowledge Management
    Workforce engagement management, employee collaboration tools, and knowledge management capabilities with over 70 out-of-the-box integrations
    API Access and Extensibility
    API access and open platform architecture with a common data model enabling custom integrations and extensions
    Natural Language Understanding
    Proprietary Large Language Model (ConveRT) pre-trained specifically for customer service applications enabling accurate understanding of customer inquiries
    Spoken Language Recognition
    Advanced speech recognition technology designed to understand callers regardless of accents, dialects, background noise, and variations in speech patterns
    Conversational Interaction Model
    Customer-led dialogue system allowing callers to speak naturally, interrupt, ask questions, and navigate between different topics without keyword guessing
    Multi-language Support
    Support for multiple languages and linguistic variations enabling deployment across diverse customer bases

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    -
    -
    -
    -
    No security profile
    No security profile

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.4
    10 ratings
    5 star
    4 star
    3 star
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    1 star
    60%
    40%
    0%
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    0%
    5 AWS reviews
    |
    5 external reviews
    External reviews are from PeerSpot .
    AbdulWaheed

    Dynamic conversations have improved self-service options and provide human-native voice choices

    Reviewed on Jul 22, 2026
    Review from a verified AWS customer

    What is our primary use case?

    One of the reasons I explored Conversations by NLX  was to investigate the platform's capabilities, as I was in a role to evaluate different platforms that provide conversational AI solutions. Conversations by NLX  came into that search, and I have thoroughly explored this platform.

    We were looking for a platform where we have the flexibility to choose between different models. We have different subscriptions at the company level, and we wanted to see which one would work better for us. Additionally, the flexibility to choose between different voices was important to us. We have our custom voices and corporate voices as well. These were the main things I was exploring in the first phase.

    I have recently learned that Conversations by NLX is part of Amazon Connect . This was one of the reasons we considered it, because at Deutsche Telekom we were also exploring the migration from Cisco to Amazon Connect . That's the reason we got Conversations by NLX into our consideration.

    We currently have a hybrid cloud setup and we have a requirement for private cloud as well, but we would like to see how Conversations by NLX could be integrated there.

    What is most valuable?

    Conversations by NLX offers human-native voices, a variety of models, flexibility to build, test, and deploy applications, and ease of use on the platform.

    With conversational AI, we have the flexibility that we do not have to draw the IVR applications in a static way. Everything is dynamic and according to what the customer wants and asks. They can ask anything, any flow, anytime while being on the conversation.

    With a Conversations by NLX solution, we can achieve more automation of different use cases. We have self-service applications which were previously limited, and now we have increased these significantly because our customers are asking for a lot more self-service features.

    What needs improvement?

    The possibility to have Conversations by NLX on-premises would be beneficial because I have not seen that Conversations by NLX is providing an on-premises solution. In our cases, we have some sensitive helplines where we do not want to put the data on the internet and we prefer to have everything within our network.

    I think the compliance for Conversations by NLX could be checked a little more thoroughly, and the data privacy should be stronger because the European laws are much more focused towards data privacy and data residency.

    For how long have I used the solution?

    I have not used Conversations by NLX extensively, but I have reviewed the introductory materials. I am not an expert on Conversations by NLX, but I have gone through a couple of the documentation resources.

    What do I think about the stability of the solution?

    Conversations by NLX is stable from what I have seen and tested. The stability has been satisfactory, and we were able to quickly test things and evaluate Conversations by NLX platform.

    What do I think about the scalability of the solution?

    The scalability of Conversations by NLX is also fine. As I mentioned, we have not tested it in production, but we have evaluated it from an evaluation perspective and we were satisfied with the scalability as well.

    How are customer service and support?

    The customer support from Conversations by NLX was great. We had a couple of questions while setting up the environment and during onboarding. The team was very quick, and we were able to get responses within a couple of hours.

    How was the initial setup?

    We have not used Conversations by NLX in production. We were using it only for the test environment where we sent a couple of requests on the platform and tried to see how human-native the responses are. We were satisfied with the response, but we have not put this in production.

    Which other solutions did I evaluate?

    We evaluated a couple of different solutions. During the evaluations, we went through Vapi  and Parloa , which is a Berlin-based company. We were also exploring different open-source solutions as well.

    What other advice do I have?

    Amazon Connect lives in a very big ecosystem from AWS . What they were lacking was the capability of human-native voices. I think Conversations by NLX would work for that with this partnership.

    I would rate the customer support of Conversations by NLX as an eight on a scale of one to ten.

    I would rate Conversations by NLX eight out of ten because of the platform flexibility, the documentation and help we receive, and the feature set.

    We used to have a lot of concerns about Conversations by NLX's AI capabilities, governance, and security because we are basically European telecom providers, and we prefer to have everything GDPR compliant and are really concerned about data privacy. We reviewed the things provided by Conversations by NLX, and we were quite satisfied with that. My overall review rating for Conversations by NLX is eight out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    SumitSingh3

    Chatbots have improved ticket and flight support while channel coverage still needs to grow

    Reviewed on Jul 22, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Conversations by NLX  is that we are working in the aviation domain, developing a customer-related chatbot product for our employer and for our internal employees to provide information related to canceling tickets, booking tickets, or receiving notifications related to them.

    A specific example of how I am using Conversations by NLX  is that we developed one chatbot where employees are engaged. We use the chatbot to provide information related to booking, flight takeoff, or landing information, and employees can update their own seats. These are the types of information we have provided using this project, and these are the problem statements we are including in Conversations by NLX, with multiple business logics and logical problem-solving that we have used to solve these problems.

    What is most valuable?

    The best features Conversations by NLX offers include logical thinking; if you implement your business problem, you can easily use the drag and drop feature to implement the conversation, and these are the basic things I have mostly used.

    I have used features including customer information-related analytics. We have provided data based on that, and we have analyzed customer CSAT and customer satisfaction requirements. Regarding the integration, we have implemented on multiple platforms, such as web and mobile bases including iOS and Android.

    Conversations by NLX has positively impacted my organization because before using it, we used other customized platforms to build our chatbots. We developed more than fifty chatbots using Conversations by NLX, which provides mostly friendly and very easy to implement functionality. You can easily integrate it with multiple environments and systems, analyze customer data, and receive notifications from the customer end very easily.

    What needs improvement?

    From my perspective, it would be helpful if you could integrate Conversations by NLX with multiple channels to create a more friendly and reachable product. If you implement any bot or system and reach multiple persons, your product can already reach many customers as well as employees. Therefore, if multiple channels can be added, it would be very helpful.

    For how long have I used the solution?

    I have mostly worked in my current field for more than ten years.

    What do I think about the stability of the solution?

    Conversations by NLX is a stable platform, and I can confidently say that.

    What do I think about the scalability of the solution?

    Regarding Conversations by NLX's scalability, I find that if you are implementing any application or bot, it can scale your application related to performance and influence, depending on the questions asked. From my perspective, it is good with a good experience.

    How are customer service and support?

    Customer support from Conversations by NLX is good from my end.

    Which solution did I use previously and why did I switch?

    We previously used multiple solutions including Salesforce  Einstein Bot, Kore.ai , and Yellow.ai. These were almost good, but there are some new things in Conversations by NLX. It is easy to implement, easy to integrate, and easy to analyze, leading to a higher satisfaction rate from the customer side; these are the good things we get from Conversations by NLX.

    What was our ROI?

    I have seen a return on investment as it saves more time; related to money, I have also saved costs associated with employees' time. As the one who implements it, I can say it saves more time, and I have experience with that.

    What's my experience with pricing, setup cost, and licensing?

    Regarding my experience with pricing, setup costs, and licensing, I am the one implementing it, so I do not have much knowledge about the setup cost, licensing, and pricing related to it.

    What other advice do I have?

    I have not mostly found things lacking in Conversations by NLX because based on our needs, it provides what we require. Therefore, based on that and our business logic, we can implement the code everywhere. I do not think any integration, customer satisfaction, or analysis is required as we currently get all that we need.

    Conversations by NLX is good and does not need any improvements that I have not mentioned yet.

    I have already provided advice to multiple persons that using Conversations by NLX saves your time and money as well. I would rate this review a 7.5 overall.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Joshua Rodriguez

    Accelerated complex contact center builds and has delivered guided AI interactions faster

    Reviewed on Jul 20, 2026
    Review from a verified AWS customer

    What is our primary use case?

    We're using Conversations by NLX  or the ACXD platform with AWS  to bring to life AI agents and deterministic bot flows into the contact center for our customers.

    We created a demo with Conversations by NLX  to provide customers an overview of how the Live Sync feature with ACXD can be brought into the customer's requirements and their current customer flows to show them how the tool works and exactly how we can build it out for them.

    Our other use case for Conversations by NLX is to provide customers a faster delivery time for their migrations into the Amazon Connect  platform. The ACXD tool, which is Conversations by NLX, helps customers deliver quickly and design and deploy quickly customer interactions using voice bots, chatbots, and other solutions.

    What is most valuable?

    The best features Conversations by NLX offers include the guided flow bot diagram where you can use blocks and tools to connect into the Amazon Connect  customer tool. Additionally, Live Sync is an excellent tool and a module that you can bring in to help bring voice to life for your customers so that if they're on a website, the AI agent can actually perform actions on the website for that customer without them having to click themselves. It helps them drive the interaction utilizing AI agents through ACXD.

    My customers are responding very positively toward the features of Conversations by NLX. It is a state-of-the-art tool with features that no other competitor has and definitely something that leaves them impressed after viewing the demos.

    Once Conversations by NLX brings it into the Amazon Connect customer UI, there will be a huge improvement right away. That's the biggest improvement.

    What needs improvement?

    Regarding Conversations by NLX's AI capabilities, its governance and security are very highly regulated. One thing that could be added in the future is programmatic access into the tool as well as some IaC  options.

    For how long have I used the solution?

    I have been using Conversations by NLX for the past couple of months since it has been in the private preview with AWS .

    What other advice do I have?

    Conversations by NLX is going to help us deliver our opportunities much quicker than we used to. Prior to that, building out flows and bots using Amazon Connect and Amazon Lex  usually took longer to deliver. Now we will be able to speed up that process considerably.

    While I do not have exact numbers or metrics for Conversations by NLX, it is absolutely reducing the time to delivery. AWS and Conversations by NLX have provided some metrics, one of which is United Airlines where they were looking at a 12-month deployment time and using ACXD, formerly Conversations by NLX, shortened that down to three months.

    Regarding Conversations by NLX's AI capabilities, it uses Amazon Lex  in the background, so it has a high accuracy on output, very similar to what customers get today with Amazon Connect.

    We use a variety of different models for deploying Conversations by NLX. We have public and private clouds and are utilizing the ACXD, formerly Conversations by NLX, in our private preview to give our customers experiences and learn how it can help them deploy faster and migrate faster within their environments.

    We did not purchase Conversations by NLX through the AWS Marketplace . We are a partner of Amazon Web Services and we are a part of the private preview to help our customers migrate to ACXD.

    Conversations by NLX is an exciting platform being brought into Amazon Connect and the additional charges will be part of the unlimited AI. There are no heavy fees added onto it like there are with other AI agent tools. It is absolutely a great product at a low price.

    I rate Conversations by NLX a 10 out of 10 because it is better than any other AI agent tool that I have used on the market so far.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Anil Sahu

    AI chatbots have transformed multilingual customer conversations and improved satisfaction

    Reviewed on Jul 13, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I have been using Conversations by NLX for the last year.

    My main use case for Conversations by NLX is in a chatbot. I was creating an AI-based, LLM-based app where I used Conversations by NLX, NLP, and NLU.

    I used these tools in my Sparkathon project, which was a hackathon project and an internal AI event that I participated in. I created an NLX-based LLM app for this event.

    I was able to use Conversations by NLX smoothly. It was a very good experience.

    What is most valuable?

    In my opinion, the best feature Conversations by NLX offers is natural language processing. Whatever language you are using, whether it is Hindi, English, or any other language, it will convert it accurately, letting you feel as though you are talking to a human. That is the best part I have seen.

    Conversations by NLX has positively impacted my organization as they are effectively using it. My company uses it almost every day, mainly because my company focuses on chatbots.

    Since using Conversations by NLX, I have noticed specific outcomes and benefits. It has effectively improved customer satisfaction, reduced time spent on tasks, and reduced costs. In every aspect, whether it is customer satisfaction, saving time, or reducing costs, Conversations by NLX has been helpful. I am progressing with it every day.

    What needs improvement?

    We are already working on how Conversations by NLX can be improved. Every day we are learning, and it is the way we work every day. Just as LLM works by training, we are using Conversations by NLX and we are learning from it.

    I do not have any additional improvements needed for Conversations by NLX to mention.

    For how long have I used the solution?

    I have been working in my current field for three years.

    What do I think about the stability of the solution?

    Conversations by NLX is stable.

    What do I think about the scalability of the solution?

    Conversations by NLX's scalability is good. You can scale it according to your needs.

    How are customer service and support?

    Customer support for Conversations by NLX is good, and I would rate them 10 out of 10.

    Which solution did I use previously and why did I switch?

    I never used a different solution before Conversations by NLX.

    What was our ROI?

    I cannot share any return on investment because I am not aware of the money metrics.

    What's my experience with pricing, setup cost, and licensing?

    Regarding my experience with pricing, setup cost, and licensing, I am not certain about that because other teams take care of it.

    Which other solutions did I evaluate?

    I did not evaluate other options before choosing Conversations by NLX.

    What other advice do I have?

    Conversations by NLX's AI capabilities are based on governance compliance. It helps customers and organizations secure their interactions, whether it is chat, voice, audio, or video.

    Conversations by NLX's accuracy and reliability of output is very good. I have observed almost 99.99% accuracy.

    I would recommend everyone use Conversations by NLX and give it a try to see how the experience is. I would rate this product 9 out of 10.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Kimaya Pawaskar

    Multilingual chat has saved time and now needs deeper context for more accurate responses

    Reviewed on Jul 13, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Conversations by NLX  is the chatbots, which I use most often.

    A specific example of how I use the chatbots with Conversations by NLX  is that the backend is working with NLX, and the best use case for us is the multilingual support that it provides.

    What is most valuable?

    What I appreciate most about the multilingual support is that while I think the accuracy is good, I am more inspired by the range of languages, and I feel it's quite deep, getting the context correctly.

    Conversations by NLX has had a positive impact on my organization, and it's fairly a good review, I would say.

    The positive impact of Conversations by NLX is that it saved time.

    What needs improvement?

    I think Conversations by NLX can be improved with more context or more training in that direction, as there can be some improvements.

    For how long have I used the solution?

    I have been using Conversations by NLX for quite some time now, at least three to four months.

    How are customer service and support?

    Regarding Conversations by NLX's AI capabilities, I think its governance and security are fairly okay, as it is binding to most of the rules, so I think it's okay.

    What other advice do I have?

    I do not want to add anything else about the features; I think I'm satisfied.

    I do not want to add more about the needed improvements; I think I'm satisfied.

    I don't have an example of how much time Conversations by NLX has saved for my team.

    I chose a rating of seven for Conversations by NLX because of the overall experience and the overall ease and the entire process.

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