Need advice about which tool to choose?Ask the StackShare community!

Inferrd

2
10
+ 1
10
Lateral

3
16
+ 1
0
Add tool

Lateral vs Inferrd: What are the differences?

Developers describe Lateral as "The ultimate API for recommending your content". Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations. On the other hand, Inferrd is detailed as "*Deploy ML Models with a Simple Drag and Drop *". It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

Lateral and Inferrd can be primarily classified as "Machine Learning as a Service" tools.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Inferrd
Pros of Lateral
  • 3
    Easy to use
  • 2
    Secure
  • 2
    Fast
  • 2
    Very quick response time
  • 1
    Fair pricing
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    No Stats

    What is Inferrd?

    It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

    What is Lateral?

    Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.

    Need advice about which tool to choose?Ask the StackShare community!

    What tools integrate with Inferrd?
    What tools integrate with Lateral?
      No integrations found
      What are some alternatives to Inferrd and Lateral?
      Amazon SageMaker
      A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
      Azure Machine Learning
      Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
      Amazon Machine Learning
      This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
      Algorithms.io
      Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
      Google AI Platform
      Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
      See all alternatives