Alternatives to Wit.ai logo

Alternatives to Wit.ai

Dialogflow, Api.ai, TensorFlow, Chatfuel, and Twilio are the most popular alternatives and competitors to Wit.ai.
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What is Wit.ai and what are its top alternatives?

Wit.ai is a natural language processing tool that allows developers to add conversational capabilities to their applications through voice or text. It offers features such as built-in machine learning models for intent recognition, entity extraction, and contextual understanding. However, Wit.ai has limitations such as limited support for complex dialog management, lack of customization options for machine learning models, and potential concerns about privacy and data security.

  1. Dialogflow: Dialogflow, owned by Google, provides robust conversational AI tools for designing and integrating chatbots into various platforms. Key features include support for multiple languages, integration with various messaging channels, and easy integration with Google Cloud services. Pros include powerful NLP capabilities and seamless integration with Google ecosystem, while cons include pricing based on usage and potentially complex setup for beginners.
  2. IBM Watson Assistant: IBM Watson Assistant offers AI-powered virtual assistant capabilities with features like intent recognition, entity extraction, and personalized responses. Pros include a user-friendly interface for building chatbots and integration with other Watson AI services, while cons may include higher pricing for enterprise-level features and potential learning curve for beginners.
  3. Microsoft Bot Framework: Microsoft Bot Framework is a comprehensive platform for developing, deploying, and managing conversational AI agents. Key features include support for various channels, pre-built templates, and integration with Azure services. Pros include seamless integration with Microsoft ecosystem and robust development tools, while cons may include limited customization options for advanced users.
  4. Rasa: Rasa is an open-source conversational AI platform that allows developers to build contextual assistants with NLU and dialogue management capabilities. Pros include full customization of AI models, support for multi-turn conversations, and privacy-focused architecture, while cons may include the need for technical expertise to set up and maintain the system.
  5. Amazon Lex: Amazon Lex is a service for building conversational interfaces into any application using voice and text. Key features include automatic speech recognition, intent recognition, and integration with AWS services. Pros include seamless integration with AWS infrastructure and pay-as-you-go pricing model, while cons include limited support for advanced NLP capabilities compared to other tools.
  6. Botpress: Botpress is an open-source platform for building chatbots and virtual assistants with features like NLU, dialogue management, and multi-channel support. Pros include full control over the chatbot's data and customization options, while cons may include a steeper learning curve for beginners and potentially limited community support.
  7. SAP Conversational AI: SAP Conversational AI offers tools for building AI-powered chatbots with features like natural language understanding, dialog management, and integration with SAP applications. Pros include easy integration with SAP ecosystem and pre-built chatbot templates, while cons may include limitations on customization and potential scalability issues for large deployments.
  8. GPT-3: GPT-3, developed by OpenAI, is a language model that can be used for various natural language processing tasks, including conversational AI. Key features include generation of human-like text, support for multiple languages, and scalability for large datasets. Pros include state-of-the-art performance in language tasks and versatility for different applications, while cons may include potential ethical concerns about AI capabilities.
  9. Wolfram Alpha: Wolfram Alpha is a computational engine that provides answers to factual queries using its vast knowledge base and natural language understanding. Pros include accurate information retrieval, support for complex mathematical queries, and a user-friendly interface, while cons may include limited conversational capabilities compared to dedicated chatbot platforms.
  10. Pandorabots: Pandorabots is a platform for building and deploying chatbots with features like scripting language support, multilingual capabilities, and integrations with various messaging platforms. Pros include easy setup for basic chatbots and affordable pricing plans, while cons may include limited flexibility for custom AI models and potentially limited scalability for large deployments.

Top Alternatives to Wit.ai

  • Dialogflow
    Dialogflow

    Give users new ways to interact with your product by building engaging voice and text-based conversational apps. ...

  • Api.ai
    Api.ai

    API.AI is a natural language understanding platform that makes it easy for developers to design and integrate intelligent, robust conversational user interfaces into mobile, web applications, and devices. ...

  • TensorFlow
    TensorFlow

    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. ...

  • Chatfuel
    Chatfuel

    Send news, collect feedback, receive and answer questions and share content libraries — from GIFs to full business docs. ...

  • Twilio
    Twilio

    Twilio offers developers a powerful API for phone services to make and receive phone calls, and send and receive text messages. Their product allows programmers to more easily integrate various communication methods into their software and programs. ...

  • Twilio SendGrid
    Twilio SendGrid

    Twilio SendGrid's cloud-based email infrastructure relieves businesses of the cost and complexity of maintaining custom email systems. Twilio SendGrid provides reliable delivery, scalability & real-time analytics along with flexible API's. ...

  • Amazon SES
    Amazon SES

    Amazon SES eliminates the complexity and expense of building an in-house email solution or licensing, installing, and operating a third-party email service. The service integrates with other AWS services, making it easy to send emails from applications being hosted on services such as Amazon EC2. ...

  • Mailgun
    Mailgun

    Mailgun is a set of powerful APIs that allow you to send, receive, track and store email effortlessly. ...

Wit.ai alternatives & related posts

Dialogflow logo

Dialogflow

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42
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
261
42
PROS OF DIALOGFLOW
  • 18
    Built-in conversational agents
  • 7
    Custom Webhooks
  • 5
    Great interface
  • 5
    Multi Lingual
  • 4
    OOTB integrations
  • 2
    Knowledge base
  • 1
    Quick display
CONS OF DIALOGFLOW
  • 9
    Multi lingual
  • 2
    Can’t be self-hosted

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Api.ai logo

Api.ai

83
4
Conversational interface platform for apps, devices, bots, and services.
83
4
PROS OF API.AI
  • 4
    55
CONS OF API.AI
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    TensorFlow logo

    TensorFlow

    3.8K
    106
    Open Source Software Library for Machine Intelligence
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    PROS OF TENSORFLOW
    • 32
      High Performance
    • 19
      Connect Research and Production
    • 16
      Deep Flexibility
    • 12
      Auto-Differentiation
    • 11
      True Portability
    • 6
      Easy to use
    • 5
      High level abstraction
    • 5
      Powerful
    CONS OF TENSORFLOW
    • 9
      Hard
    • 6
      Hard to debug
    • 2
      Documentation not very helpful

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    Tom Klein

    Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

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    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 8 upvotes · 2.8M views

    Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

    At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

    TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

    Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

    https://eng.uber.com/horovod/

    (Direct GitHub repo: https://github.com/uber/horovod)

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    Chatfuel logo

    Chatfuel

    72
    11
    Create chatbots easily — no coding required
    72
    11
    PROS OF CHATFUEL
    • 7
      AI Engine
    • 4
      Easy setup that is also scalable
    CONS OF CHATFUEL
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      Twilio logo

      Twilio

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        Great sms services
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        Low cost of entry
      • 29
        Global SMS Gateway
      • 14
        Good value
      • 12
        Cloud IVR
      • 11
        Simple
      • 11
        Extremely simple to integrate with rails
      • 6
        Great for startups
      • 5
        SMS
      • 3
        Great developer program
      • 3
        Hassle free
      • 2
        Text me the app pages
      • 1
        New Features constantly rolling out
      • 1
        Many deployment options, from build from scratch to buy
      • 1
        Easy integration
      • 1
        Two factor authentication
      CONS OF TWILIO
      • 4
        Predictable pricing
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        Expensive

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      Ravi Sathanapalli
      Director Product Management at Centime · | 7 upvotes · 133.5K views
      Shared insights
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      TwilioTwilioAmazon SNSAmazon SNS

      Hi, We are looking to implement 2FA - so that users would be sent a Verification code over their Email and SMS to their phone.

      We faced some limitations with Amazon SNS where we could either send the verification code to email OR to the phone number, while we want to send it to both.

      We also are looking to make the 2FA more flexible by adding any other options later on.

      What are the best alternatives to SNS for this use case and purpose? Looked at Twilio but want to explore other options before making a decision.

      Would be great to know what the experience with Twilio has been, especially the limitations/issues with Twilio...

      Appreciate any input from users of Twilio and others who have had similar use cases.

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      Cheri Booth
      Vendor Relationship Manager at Storage Asset Management · | 6 upvotes · 67K views
      Shared insights
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      ClickatellClickatellTwilioTwilio

      Searching for options for SMS that integrates with SiteLink and will allow personalization of text and tracking of both incoming/outgoing messages with reporting (Time, date, call#, etc) Have been looking at Twilio, and seems most leaning toward this. Are there any other options known that integrate into SiteLink? Also looked at Clickatell.

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      Twilio SendGrid logo

      Twilio SendGrid

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      • 137
        Cheap and simple
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      • 86
        Reliable
      • 58
        Well-documented
      • 28
        Generous free allowance to get you started
      • 25
        Trackable
      • 21
        Heroku add-on
      • 15
        Azure add-on
      • 13
        Better support for third party integrations
      • 6
        Simple installation
      • 6
        Free plan
      • 4
        Helpful evangelist staff
      • 4
        Great client libraries
      • 3
        Great support
      • 3
        Better customer support than the competition
      • 3
        Great add-ons
      • 2
        Nice dashboard
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        Scalable
      • 1
        Web editor for templates
      • 1
        Cool setup
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        Within integration
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        Easy set up
      • 1
        Free
      • 1
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        Google cloud messaging
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        Google analytics integration is not campaign-specific
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        Shared IP blacklist removal takes months
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      Luke Hamilton
      Sr. Engineer at StackShare · | 4 upvotes · 83.8K views

      At StackShare we were discussing how to increase the retention of our newly signed up users. We hypothesized that if we made certain changes to the emails in our on-boarding process we could increase our retention and activation of users.

      We decided to use sendwithus because it offered us the ability to A/B test our transactional emails. We also utilized the sendwithus analytics dashboard to gain real time insight into the performance of our email campaigns. Furthermore sendwithus has a Rails gem that allowed us to easily integrate the product into our application. We were also able to integrate sendwithus with our SendGrid account. #ABTestingAnalytics #TransactionalEmail

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      Julien DeFrance
      Principal Software Engineer at Tophatter · | 3 upvotes · 550.2K views

      Nexmo vs Twilio ?

      Back in the early days at SmartZip Analytics, that evaluation had - for whatever reason - been made by Product Management. Some developers might have been consulted, but we hadn't made the final call and some key engineering aspects of it were omitted.

      When revamping the platform, I made sure to flip the decision process how it should be. Business provided an input but Engineering lead the way and has the final say on all implementation matters. My engineers and I decided on re-evaluating the criteria and vendor selection. Not only did we need SMS support, but were we not thinking about #VoiceAndSms support as the use cases evolved.

      Also, on an engineering standpoint, SDK mattered. Nexmo didn't have any. Twilio did. No-one would ever want to re-build from scratch integration layers vendors should naturally come up with and provide their customers with.

      Twilio won on all fronts. Including costs and implementation timelines. No-one even noticed the vendor switch.

      Many years later, Twilio demonstrated its position as a leader by holding conferences in the Bay Area, announcing features like Twilio Functions. Even acquired Authy which we also used for 2FA. Twilio's growth has been amazing. Its recent acquisition of SendGrid continues to show it.

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      Amazon SES logo

      Amazon SES

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      PROS OF AMAZON SES
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        Reliable
      • 97
        Cheap
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        Integrates with other aws services
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        Easy setup
      • 18
        Trackable
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        Easy rails setup
      CONS OF AMAZON SES
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        Cyril Duchon-Doris

        We decided to use AWS Lambda for several serverless tasks such as

        • Managing AWS backups
        • Processing emails received on Amazon SES and stored to Amazon S3 and notified via Amazon SNS, so as to push a message on our Redis so our Sidekiq Rails workers can process inbound emails
        • Pushing some relevant Amazon CloudWatch metrics and alarms to Slack
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        Amazon SESAmazon SESMailchimpMailchimp

        I would like to know how I can implement a transactional email, or if it is possible to do so, like Mailchimp, using Amazon SES. I want to have the flexibility of creating emails like MailChimp, with a bulk email sending capability. Is it as simple with AWS SES as it is with MailChimp? If so, then how can I implement that for my own product? Thanks!

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        Mailgun logo

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        • 148
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          Easy setup
        • 67
          Ridiculously reliable
        • 53
          Extensive apis
        • 30
          Great for parsing inbound emails
        • 25
          Nice UI
        • 22
          Developer-centric
        • 15
          Excellent customer support
        • 12
          Heroku Add-on
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          Easy to view logs of sent emails
        • 4
          Email mailbox management for developers
        • 2
          Great PHP library
        • 2
          Great documentation
        • 2
          Great customer support, love rackspace
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          Better than sendgrid not ask too many question
        CONS OF MAILGUN
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          Cost
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          No HTTPS tracking links supported
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          Emails go to spam due to blacklisted IP's of mailgun
        • 1
          Cannot create multiple api keys

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        Shared insights
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        MandrillMandrillMailgunMailgun
        at

        We've moved our transactional email away from Mandrill to Mailgun. We had continued using Mandrill after Mailchimp deprecated the service awhile back, because the amount of credits we were offered essentially made it free.

        However, following a couple weeks of frequent downtime and poor service transparency from Mandrill, we decided it was time to make the switch. It appears they no longer had any engineers with the ability to identify the core problems.

        Mailgun has been more reliable, yet not as reliable as we expected. We still see issues a few times per week with the API failing when we attempt to make a call. The Reporting UI is way better.

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