We explained autoML in detail. Now it is time to figure out the right software for auto ML for your business.
3 Types of AutoML Solution Providers
Open Source
AI is one of the few scientific areas were despite significant corporate investment, even secretive tech giants like Apple publish their research findings. Therefore it should not be surprising that there are competitive open source autoML tools.
All open source tools we came across, need an active development environment in Python or R and require the user to write at least a few lines of code to initiate the automated machine learning process.
Startups
Given the scarcity of AI talent, AutoML can have a dramatic impact on democratizing AI and making companies more effective and efficient. Numerous startups are being launched and raise ambitious amounts to capture this opportunity.
Most startups aim to offer tools that can be launched with a clean user interface by a non-technical user. Some tools also offer visualization to explain their findings and the resulting model.
Tech giants
Google claims to be an “AI-first” company and is delivering on that promise. Google Cloud AutoML is one of the first autoML tools launched by tech giants. IBM’s SPSS is one of the most popular analytics software providers and has been offering for various autoML tools such as auto classifier.
Complete list of AutoML providers
You can find below our previous list of autoML providers. We provide a sortable, more detailed list on our main website.
| Software | Category | Launched in* | # of employees** |
|---|---|---|---|
| Auger.ai | Startup | 2017 | |
| Auto-sklearn | Open source (Python) | ||
| Auto-WEKA | Open source | 2013 | |
| BigML OptiML | Open source | ||
| Business Insight's TIMi Suite | Startup | 11-25 | |
| Caret | Open source (R) | ||
| Compellon | Startup | 2011 | 11-25 |
| DataRobot | Startup | 2012 | 251-500 |
| DMWay Analytics | Startup | 2014 | 1-10 |
| Enhencer | Startup | 2017 | 1-10 |
| Google Cloud AutoML | Tech giant | 2018 | |
| H2O.ai | Startup | 2012 | 51-100 |
| Kortical | Startup | 2016 | 11-25 |
| MLJAR | Startup | 2016 | 1-10 |
| PurePredictive | Startup | 2011 | 11-50 |
| Tazi.ai | Startup | 2015 | 1-10 |
| TPOT (Tree-based Pipeline Optimization Tool) | Open source (Python) | ||
| Xpanse Analytics | Startup | 2014 | 1-10 |
* Date when tool was launched not the day the company was launched. This is because Google’s founding date is irrelevant when discussing their Cloud AutoML tool.
** Number of employees on linkedin. Only relevant for startups that focus on a single product because Google’s number of employees is irrelevant when discussing their Cloud AutoML tool. This is also not relevant in open source where contributors are part time and therefore not directly comparable to a startup’s employees. We should add some github related popularity metrics here for open source projects.
AutoML tools can greatly boost your company’s data science efforts. If you are not sure about which vendor to work with,
16 comments
Hi!
It’s a very interesting article.
You can also add JADBIO to the list.
JADBIO is an AutoML tool designed for the challenges of biomedical data, providing high quality results with minimal human intervention.
Hi,
Thanks for the great list. Could you also add B2Metric AI there? As B2Metric, we are also working on AutoML product area. Here is the quick intro of our product: https://b2metric.com/machine-learning-studio We have been started at 2018 and we are the size of 1-10 employees. Our linkedin is ” https://www.linkedin.com/company/B2Metric”
Hiya, please add Modulos to the list. Founded in 2018, 11-25 employees.
we are new provider in field of automl.
i would be happy if you would explore our solution
Sure, reached out to you guys, thanks for the heads up!
there is a new vendor that offering complete solution, E2E with deployment and monitors your endpoint
try https://platform.datomize.ai/
What about dotData and Dataiku?
You are right, this is a static list, added the link to dynamic list above. We will be adding these two players over the next week to the list of ML providers on our main website
Hello,
Please add MoBagel to the list, here’s our Linkedin:
https://www.linkedin.com/company/mobagel/
Thank you!
Hi Joe, thank you for reaching out! We are no longer doing manual updates here, please sign up at http://grow.aimultiple.com/, you would be included in our updated list of AutoML vendors
Great list any chance you could add Kortical to it please? Kortical is an AutoML platform that writes code that a data scientist can edit for full control of the models, with cloud-scale, explainability and really easy deployment features, so you can get value from the AI really quickly! Started in 2016. Our linkedin link is https://www.linkedin.com/company/kortical/
Thanks!
Sure, thanks for reaching out!
Hi,
Useful post you have here!
Could you also add Enhencer (https://enhencer.com)? Our LinkedIn is: https://www.linkedin.com/company/enhencer/
Thanks in advance.
Done!
We would love to see Auger.AI added to the list of automl tools. We are a company size of 11 – 25, and launched in 2017. Thanks!
Sure, added to the list!
However, we take number of employees from linkedin. Is this the right linkedin profile to look at: https://www.linkedin.com/company/auger-ai/?