Machine Learning

Top 10 Best Machine Learning Companies in USA 2021

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Are you searching for ‘Best Machine Learning Companies’? ThinkDataAnalytics in-depth research will help you in your quest for leading machine learning company.

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A Comprehensive List of the Top Machine Learning Companies With Features & Pricing. Select the Best Machine Learning Company From This Review And Comparison.

List of Top Machine Learning Companies

Let’s explore all about Machine Learning along with some of the Top Machine Learning companies that are most popular USA.

  • Indium Software
  • Amazon Web Services
  • IBM
  • SAS
  • Databricks
  • InData Labs
  • Talentica Software
  • Iflexion
  • AE Studio
  • Mobidev

Comparison Of Top Machine Learning Service Providers

Indium Software

Indium Software’s machine learning (ML) service enables companies to gain a competitive advantage with perks such as customer lifetime value prediction, predictive maintenance, spam detection, and more.

With Indium’s motto being to make technology work, they offer the best-in-class ML algorithms along with machine learning consulting solutions. They are proficient in advanced analytics languages and tools such as Python, R, Tensorflow, Keras, Alteryx, and more.

Indium’s machine learning service can be applied to any key business function, including:

  • Sales
  • Marketing
  • Human Resources (HR)
  • Finance

They also boast of expertise in advanced tools and technology expertise in addition to their wide-ranging capabilities that comprise of:

  • Image analysis
  • Image tagging
  • Sentiment analysis
  • Information extraction
  • Data analysis

Indium’s machine learning service enables companies to explore hidden resources of their data and make profitable business decisions.

Founded In: 1999
Employees: 1001-5000 employees
Locations: Cupertino, California
Core Services: Data Engineering, Data Analytics, Application services, etc.

Amazon Web Services

Launched in 2006, Amazon Web Services (AWS) was an early pioneer of cloud computing and continues to be the world’s largest provider of infrastructure as a services (IaaS), platform as a service (PaaS), and private cloud services. A subsidiary of Amazon, the company reported sales of $10.8 billion in the second quarter of 2020 and $21.0 billion through the first half of the year, which analysts says is about a third of the cloud infrastructure market. Many large enterprises use AWS to store at least some of their data, which gives the company an advantage when organizations are looking for a ML provider.

Amazon’s machine learning services center around its flagship SageMaker line of services. They include the SageMaker Ground Truth tool for building managing data sets, SageMaker Studio IDE, SageMaker Autopilot for building and training models, Augmented AI for human review of predictions, and much more. Its customers are some of the most well-respected users of machine learning, such as Intuit, CapitalOne, Siemens, FICO, Kia, Formula1, PWC, Tinder, Yelp, the NFL, Netflix and Pinterest.

AWS offers a free tier that companies just getting started with ML can use for two months. After that, pricing depends on the services used, data center location, instance size (the type of computing resources used) and the number of hours. The prices are all listed on the site, and AWS offers a tool for estimating total costs.

Founded In: 2006
Employees: 10,001+ employees
Locations: Seattle, WA

Also to Read More about: Top Data Analytics Companies


Founded in 1911, IBM is one of the oldest and most well-respected companies in the technology industry. Its headquarters is in Armonk, New York, and in its most recent quarterly report, it announced $18.1 billion in revenue. Its total quarterly cloud revenue, which includes IaaS and software as a service (SaaS) was $6.3 billion.

One of the early pioneers of artificial intelligence and machine learning, IBM made early headlines with its Watson AI platform. It continues to sell a host of AI and ML services under the Watson brand name. Its Watson Machine Learning product integrates with other Watson tools and supports hybrid and multi-cloud environments. You can also deploy it on your own servers.

IBM offers a wide range of different pricing options for its Watson services, including a free tier. Pay-as-you-go pricing details are available on the website, but for subscription pricing (which may be lower than pay-as-you-go) or deploying on your own servers, you will need to contact the company.

Founded In: 1911
Employees: 10,001+ employees
Locations: Armonk, New York, NY
Core Services: Cloud, Mobile, Cognitive, Security, Research, Watson, Analytics, Consulting, Commerce, Experience Design, Internet of Things, Technology support, Industry solutions, Systems services, Resiliency services, Financing, and IT infrastructure


Also known as SAS Institute, SAS is one of the world’s largest analytics software vendors. In fact, it is the world’s largest privately held software vendor of any kind. Founded in 1976, it grew out of a statistical analysis program at North Carolina State University and is currently headquartered in Cary, North Carolina. In 2019, it reported $3.1 billion in revenue, and it currently has around 14,000 employees.

Many of the SAS products would be helpful for machine learning, but the most relevant may be its SAS Visual Data Mining and Machine Learning software. Its key features include automated insights and interpretability, automated feature engineering and modeling, a public API for automated modeling, easy-to-use analytics, network analytics, deep learning with Python and ONNX support, integrated data preparation and in-memory processing. It is part of the larger SAS Viya suite.

A 30-day free trial is available. Pricing is available on request.

Founded In: 1976
Employees: 14,000 employees
Locations: Cary, North Carolina
Core Services: SAS, BI, Data Mining, OLAP, DW, Analytics, Business Analytics, Predictive Analytics, Statistics, Customer Intelligence, and Enterprise Risk Management


Founded in 2013 by several of the people behind the Apache Spark project, Databricks is a pure-play data science and machine learning startup. Its customers include Comcast, Conde Nast, H&M, Regeneron, Nationwide and Showtime. Headquartered in San Francisco, California, it has raised an estimated $897 million in funding.

Databricks’ Unified Data Analytics Platform includes its MLflow-based Data Science Workspace and its Apache Spark-based Unified Data Service, as well as its Redash visualization and dashboarding tool. It runs on AWS or Microsoft Azure, and it integrates with many popular business intelligence tools, including Tableau, Qlik, Power BI, Looker, Mode, TIBCO Spotfire and ThoughtSpot.

The company has different offerings for AWS and Microsoft Azure, and each comes in several different tiers. Pricing is available on the company’s website, and a free 14-day trial is also available. There’s also a free Community Edition with a smaller feature set.

Founded In: 2013
Employees: 1001-5000 employees
Locations: San Francisco, California
Core Services: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, and Unified Analytics Platform

InData Labs

InData Labs is a Data Science and AI-powered solutions provider that has offices in Belarus, Cyprus, Singapore, and the U.S with over 60 employees. Since 2014, they have successfully implemented more than 40 projects helping clients to implement face recognition-based systems, human body pose estimation and tracking solutions, recommender engines, image/video analysis and object detection, and NLP. InData Labs has its own R&D center operating in the sphere of Machine Learning, Computer Vision and AI Software Development. They serve midmarket and enterprise businesses in a variety of industries.

Core Services: Face recognition-based systems, Human body pose estimation, and tracking solutions, Recommender engines, NLP-powered software for customer review collection and analysis, OCR & data capture solutions for document automation and processing.


  • Custom AI-based solutions development from scratch.
  • Existing solutions enhancement with AI.
  • AI-powered product development.

Founded In: 2014
Employees: 51-200 employees
Locations: Nicosia, Agioi Omologites
Core Services: Data Science, Predictive Analytics, Algorithms, Machine Learning, Artificial Intelligence, Social Media Mining, Business Intelligence, Computer Vision, OCR, and Pose estimation

Talentica Software

Talentica Software is a software development company that helps startups build technology products. Over the last 17 years, based in Pune, India, the company provides custom software development, AI, and blockchain solutions for startups and small to midmarket businesses. They have a team of 450+ experts who are versed in languages such as Java, Python, R, JavaScript, Node.js, AngularJS, Go, and Rust.


Talentica Software assisted in the development of a SaaS system for an email service company. Talentica Software handled the updates for said system. Updates included new features and functionalities for the system’s users. The system plays a vital role in the company’s activities.

Founded In: 2003
Employees: 501-1000 employees
Locations: Pune, Maharashtra
Core Services: Software Product Development, Outsourced Product Development, Offshore Development Center, Web Application Development, and Enterprise Application Development


Iflexion has expertise in custom software development. It provides full-cycle services that will cover every aspect of software engineering. It offers services for medium and large-size companies.

Founded In: 1999
Employees: 201-500 employees
Locations: Colorado, US & Texas, US.
Core Services: Enterprise Software Development, Web & Mobile App Development, Application Integration, Application Security, QA Testing, and Dedicated Development Teams.
Clients: eBay, Philips, Toyota, PayPal, Pepsico, Adidas, etc.


  • Iflexion has 20 years of experience in IT.
  • It offers services to more than 500 customers worldwide.
  • It has completed more than 1500 projects.

Pricing Info: As per the reviews, Iflexion offers its services at a rate of $25-$49 per hour.

AE Studio

AE Studio is a team of designers, engineers, and data scientists based in Venice founded in 2016. Their team of fewer than 50 members provides web and mobile app development as well as AI solutions for clients ranging from startups to enterprises. They use frameworks such as NodeJS, ReactJS, and React Native, as well as languages like JavaScript, Ruby, and Python.

Founded In: 2016
Employees: 11-50 employees
Locations: Los Angeles, California
Core Services: data science, web development, and software development


This software development company is created by a small group of passionate engineers and business managers. MobiDev is now a full-scale mobile software company and has clients from more than 20 countries. It can provide custom software development services to startups as well as enterprises.

Founded In: 2009
Employees: 201-500 employees
Locations: Georgia, US
Core Services: Mobile Development, Web Development, Quality Assurance, IoT Development, UI/UX Design, etc.
Clients: Verizon Media, Comcash, SMS Group, Quality Bridge, etc.


  • Full-cycle development for Web & Desktop apps, Mobile apps, IoT & Hardware integration, and Infrastructure & Backend.
  • It has 9 years of experience and has launched more than 350 products.

Pricing Info: As per the reviews, MobiDev offers services at a rate of $25-$49 per hour.

We hope this article helped you select the best Machine Learning company for your business.

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