Top 10 Machine Learning Companies

Introduction

 

Machine Learning has been gaining more and more popular now as it has been proven revolutionary in the field of technology. We are surrounded by machines every day and we rely on them to complete even the simplest of our tasks. 

 

Machine Learning enables computers to automatically learn things from their past experience without the need of any human actively coding each and every single piece of information. It has not reduced the load of manual work of the programmer but also benefited the users as the machines have gained an understanding of their requirements and can perform tasks accordingly. 

 

Due to the availability of powerful computational devices and big data, machine learning and deep learning are being practiced by a lot of companies. It is widely used in the fields of finance, business, marketing, security, education, healthcare, and many more. 

 

(Related blog: Machine learning models)

 

There are many machine learning companies that are emerging or have already established themselves in the market which provide powerful Machine Learning models. 

 

In this article, we are going to discuss the top 10 machine learning companies.

 

Top 10 Machine Learning Companies

 

1. Amazon Web Services (AWS):

 

AWS was launched in 2006 and is one of the most trusted companies when it comes to Machine Learning services. It is one of the earlier companies who launched cloud computing and still continues to be one of the largest providers of private cloud services. 

 

AWS is a subsidiary of Amazon and has many affiliated companies that have stored their data using AWS. This gives them an upper hand as many companies know about their ML providing service. (learn more about amazon web services through the link) 

 

This company's machine learning offerings are linked to its flagship SageMaker service line. Many reputed companies like Siemens, Netflix, Tinder, PWC, Pinterest, etc. use the services of AWS. 

 

The main advantages of using AWS for ML services are that it provides free services to newly starting businesses for 2 months and then charges accordingly after that depending on the services used and the number of hours. AWS also has many services that allow the data scientists to do everything they need to do using the same service. 

 

(Recommended read: AWS Machine Learning University)

 

2. InData Labs:

 

InData Labs is a Machine Learning and AI based company founded in the year 2014. It specialises as an AI business partner and has its own R&D center. They expertise in AI and data science, computer vision and OCR, big data and predictive analytics, machine learning and deep learning, and NLP. 

 

InData Labs provides custom AI based solutions from scratch and even improves the existing solutions. The core services provided by them include face recognition, human body pose estimation, tracking solutions, recommendation engines, NLP software, OCR and data capture solutions. 

 

It has its branches in Cyprus, Belarus, USA and Singapore and has over 60 employees. Since their establishment, they have successfully implemented over 40 projects. The Project manager of one of their clients, SMM firm said that, “They provide advice and expertise on how we can implement features, which is very important for me.” (Source)

 

3. Databricks:

 

DataBricks is a data-science and machine learning company founded in the year 2013 with its main headquarters in San Francisco, California. The Unified Data Analytics Platform from Databricks combines its MLflow-based Data Science Workspace, Apache Spark-based Unified Data Service, and Redash visualisation and dashboarding tool.

 

The business intelligence tools used by this company are Tableau, Qlik, Power BI, Looker, Mode, TIBCO spotfire and ThoughtSpot. Its customer base includes prestigious companies like Comcast, Conde Nast, H&M, Regeneron, Nationwide and Showtime. 

 

Databricks supports many languages like python, R and Scala. It has different offerings for AWS and Microsoft Azure on different levels. A free 14 day trial is available for new users and other pricings are available on the company’s website. 

 

4. Indium Software:

 

Indium Software is a machine learning company that offers best-in-class Machine Learning algorithms along with consulting solutions. This company has partnerships with AWS, mx mendix, striim, Claris, denodo and other reputed companies and has been listed in Forbes, dun & bradstreet and Clutch for its excellence. 

 

The main services provided by Indium software are Image analysis, Image tagging, sentiment analysis, information extraction and Data analysis. It helps businesses to achieve a strategic advantage by providing benefits like customer lifetime value projection, predictive maintenance, spam detection, and more.

 

The machine learning services of this company can be applied to service functions like sales, marketing, human resources, finances, etc. They are fluent in advanced analytics languages and technologies including Python, R, Tensorflow, Keras, Alteryx, and others. 

 

(Must read: Machine learning tools)

 

5. International Business Machines (IBM):

 

IBM is one of the earliest pioneers of AI and machine learning. Being established in 1911, it is one of the oldest companies in the world of technology with a huge reputation. It is known for helping companies accelerate their time to value on their machine learning projects.

 

It sells a host of AI and ML services under its Watson AI platform. Its Watson Machine Learning solution works with other Watson products and is compatible with hybrid and multi-cloud settings, and could be deployed on the user’s own servers as well.

 

IBM Watson’s machine learning is a very versatile ML service that can be easily deployed on IBM’s cloud, personal server’s, any other cloud service or the combination of all the three. It also offers many pricing options including a free tier and the user can choose accordingly. 

 

6. Neoteric:

 

Neoteric is a Poland based software development company founded in 2005, that assists businesses and startups to innovate with software. It mostly focuses on smaller, mid-market and enterprise clients, but few of their popular clients are Siemens, Nestle, The World Bank, Boeing and Vectra. 

 

The main services offered by Neoteric are based on software development, AI development and product design and its services are used in the fields of business services, telecommunications, consumer services and Information technology.

 

“ We felt as partners in our endeavors and not "another customer". The commitment demonstrated by Neoteric to our project success was tremendous. From day one, we met with professionals in all roles who demonstrated their skill, experience and contributed excellent feedback into the product team to improve the product's quality.”, was the review about Neoteric by the Product Manager of Fintech company.

 

7. MathWorks:

 

Mathworks is a private company with its headquarters in Natick, Massachusetts. It was founded in 1984, making it one of the oldest companies for machine learning services. It has a long list of popular companies like Tesla, Boeing, AIrbus, NASA, Nokia, Apple, Intel, Ford, JP Morgan and many more as its users.

 

One of its oldest products, MATLAB, was created in the 1970s and is used widely in academia. MATLAB is used as a tool for mathematicians, scientists and engineers and this along with other softwares in prestigious universities like Harvard, MIT, Stanford, etc. MATLAB is also good at handling machine learning algorithms along with advanced mathematics.  

 

MATLAB is available for a free 30-day trial from MathWorks. Following that, a normal perpetual licence will set you back $2,150 (or $860 each year). For school, home, and student users, less priced licencing types are offered. The only disadvantage of MATLAB is it can be accessed only with the MATLAB programming language and it does not support languages like python and R.

 

8. Microsoft Azure:

 

Microsoft Azure was founded in 2010 is the second largest cloud infrastructure vendor. It owns approximately 18% of the market. Its services are designed to meet the requirements of both beginners and advanced users as it comes in two different variants: basic and enterprise. 

 

Azure Machine Learning offers both code-based and drag-and-drop platforms, as well as automation and MLOps support. It works with open source technologies such as MLflow, Kuberflow, ONNX, PyTorch, TensorFlow, Python, and R. It also includes tools for identifying and mitigating prejudice.

 

Pricing of Microsoft Azure varies according to the instances it is used by the user. The upfront pricing allows for accurate cost estimation, and it is typically quite inexpensive.

 

9. SAS:

 

Founded in 1976, SAS is one of the World’s largest analytics software vendors with its headquarters in Cary, North Carolina. It built its statistical analysis program at North Carolina State University. 

 

Many SAS products might be useful for machine learning, but its SAS Visual Data Mining and Machine Learning software may be the most applicable. Its main features are automated insights and interpretability, automated feature engineering and modelling, a public API for automated modelling, simple analytics, network analytics, deep learning with Python and ONNX support, integrated data preprocessing, and in-memory processing. It's a component of the broader SAS Viya package.  

 

(Suggested blog: Deep learning algorithms)
 

10. TIBCO:

 

TIBCO, which was founded in 1997, provides a variety of software solutions relating to data integration, data management, and analytics. Caesars Entertainment, Mercedes-AMG Petronas Formula One Team, Bayer, Blendtec, Campari Group, General Mills, JetBlue, Equifax, Fannie Mae, Macy's, NASA, Panera Bread, and United Airlines are among its clients. It is a privately held company based in Palo Alto, California.

 

TIBCO Data Science is the company's main machine learning product. Data preparation, model creation, pre-built templates, version control, auditability, AutoML, integrated Jupyter Notebooks, and more capabilities are available. It also interacts with TIBCO Spotfire, the company's main analytics platform that includes some machine learning capabilities.

 

TIBCO Data Science is available in four editions: Statistica, Team Studio, for AWS, and Students & Academics. Free trials are available for Statistica and AWS. Pricing for the Students & Academics edition is accessible online, and pricing for the other editions may be obtained upon request.

 

Conclusion

 

Machine Learning makes use of statistical data analysis techniques that make machines intelligent and enable them to learn from data. There are many other companies that provide Machine Learning services. In this article, we have discussed the Top 10 Machine learning companies that provide ML services.