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Kortical

Kortical

Overview

What is Kortical?

Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine…

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Recent Reviews

AutoML without compromises

10 out of 10
April 30, 2020
We are using the AutoML to create NLP models that are used to automate customer service enquiries, where we use the models to read the …
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Pricing

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What is Kortical?

Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine learning solutions from the ground…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Blue Prism Demo: Telecom Preventive Maintenance with Kortical

YouTube
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Product Details

What is Kortical?

Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine learning solutions from the ground up in code. Getting hands-on with the code is optional but being able to edit code it makes it easy to get the best of data scientists and AutoML, while also getting the benefits of full explainability and mission-critical, enterprise-grade deployment.


The platform automatically re-trains models with the latest data and notifies the user as new and improved models are created. This ensures scalable AI operations that deliver the most value for your business.


The vendor describes its key features:

  • No code option for machine learning model creation via AutoML

  • For experts, users can dive into the code and work with the AutoML to create the best solutions

  • Automatically engineers features, prepares the data for machine learning, chooses and tunes the best model for a problem

  • Fully explainable models for actionable insights and compliance

  • Enterprise-grade deployment ready to go

  • Automatically retrains models as new data is collected


The vendor further states NHS, Deloitte and others have benefitted from the acceleration and scalability that Kortical has enabled them to achieve.

Kortical Screenshots

Screenshot of Lab Screen is the main screen where you upload your data, select the target column and then hit start training for the AutoML to turn your data into machine learning data,  automatically build features and then generate the code on the screen (which you can edit if you wish) and leave it to train to find you the best model based on your data.Screenshot of The graphs show you how many iterations Kortical has gone through to find you the best model.Screenshot of You can explore any model in more detail.Screenshot of You get high level explanations for each modelScreenshot of Also row by row explanations - here is a passenger that is highly likely to survive the titanic, due to being female, first class cabinet and high fare but her age at 35 was counting against her surviving a little and you can get these for every row and future prediction.

Kortical Videos

Kortical customer, Simon James (VP Data Science, Sapient Publicis) taking about the features he likes about the platform.
NHS Blood and Transplant R&D Director talking about the work Kortical did with them on improving kidney matching.
Predictive maintenance with BT's James Barber explaining the work that Kortical did with them to improve failure detection in advance.

Kortical Competitors

Kortical Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationMobile Web
Supported CountriesGlobal
Supported LanguagesEnglish

Kortical Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)0%
Mid-Size Companies (51-500 employees)38%
Enterprises (more than 500 employees)62%
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Comparisons

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Reviews and Ratings

(1)

Attribute Ratings

Reviews

(1-1 of 1)
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Score 10 out of 10
Vetted Review
Verified User
We are using the AutoML to create NLP models that are used to automate customer service enquiries, where we use the models to read the email and classify it. For those emails with a high confidence it will automatically respond but for those that they are not sure we use people to classify the email and help enrich the dataset.
  • The NLP models results were much better than the ones that we did outside of the platform.
  • It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc.
  • Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models.
  • It would be ideal to have Jupyter built into the platform, they say it is coming.
  • Also while it is easy to use, at the start it would have been helpful to have more help guides.
Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch.
  • ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
  • The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
  • The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.
Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.
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