Machine learning is no longer a new technology, and is evolving faster than ever thanks to big data and advanced algorithms. From recommending shows and movies to detecting financial fraud or optimizing logistics, machine learning is reshaping products and services across various industries. And companies that leverage it are benefiting from automation and data driven insights that are helping drive growth.
While the technology may still be advancing, many companies are already taking advantage of what ML can do. Here are some of them you should know.
Top Machine Learning Companies
- OpenAI
- Amazon Web Services
- Databricks
- Veritone
- DataRobot
- SoundHound
Machine Learning Companies to Know
Location: Fully Remote
Gradient AI develops solutions for the insurance industry, using AI and machine learning to support automated, accurate and profitable underwriting and claims processes. The company offers products designed to enable greater efficiency for group health providers, property and casualty providers and workers’ compensation providers.
Location: Helsinki, Finland
Smartly is an adtech company offering brands and creative teams a platform meant to bolster their digital marketing operations, from streamlining ad creation to measuring ad performance. Smartly uses machine learning to enable recommendations for optimizing live ads across various channels. Its other solutions include predictive budget allocation and a dashboard for analyzing actionable campaign insights.
Location: San Francisco, California
OpenAI develops machine learning models that power platforms like ChatGPT, Dall-E and Whisper. The company’s machine learning development also supports its API and enterprise AI products for customers building their own AI applications.
Location: New York, New York
Hinge is a dating app that aims to lead users to serious dates. The company uses machine learning to train its algorithms on its matchmaking features. Its “Most Compatible” feature analyzes data to glean potential matches based on a user’s preferences and interactions.
Location: Lenexa, Kansas
TrueML is a debt collection platform powered by ML. TrueAccord uses email, SMS and voicemail to reach consumers and the company’s patented ML engine HeartBeat can personalize their experience, giving them the ability to take care of debt “in a totally self-serve fashion.”
Location: Boston, Massachusetts
DataRobot’s platform helps organizations build and deploy machine learning models at scale without requiring deep data science expertise. The platform uses automated machine learning to analyze datasets, select appropriate algorithms, train and test models, and monitor performance over time.
Location: Pasadena, California
OpenX, is a fully cloud-based adtech company. The company’s core offering, OpenXSelect, makes use of a suite of approachable and accessible AI tools that help users curate the highest-value media to help deliver results to advertisers. The company was founded in 2007 and has offices around the U.S. and abroad.
Location: Seattle, Washington
Amazon Web Services provides companies with AI and ML services to solve business challenges and speed up innovation. These services have several uses, including conversational AI for customer engagement, identifying fraud and automating data extraction from documents.
Location: San Francisco, California
Samsara offers a variety of IoT solutions designed for customers overseeing vehicle fleets across a broad spectrum of industries, such as logistics, transportation, retail, warehousing and the public sector. Leveraging the insights gained from real-world data, the company’s machine learning teams focus on enhancing both vehicular safety and fleet optimization. Samsara Dash Cams employ a collision warning model to alert drivers proactively before a potential collision occurs.
Location: Boston, Massachusetts
Through a combination of neuroscience and advanced technology, Linus Health works to enhance early detection of cognitive disorders. The healthtech company’s platform for brain health screening and monitoring uses machine learning algorithms to give healthcare providers and researchers access to valuable brain health insights.
Location: Marina Del Rey, California
System1’s technology leverages AI and machine learning to monetize internet traffic for advertisers through responsive acquisition marketing. The company offers a closed-loop customer acquisition platform that uses proprietary algorithms, intent data and auctioning technology to help advertisers acquire customers at scale.
Location: Redwood City, California
Liftoff offers a platform designed to give mobile businesses the tools to accelerate their growth. The company says its machine learning infused tech can be used to produce ad campaigns “to boost brand awareness, acquire the highest-converting users and achieve maximum revenue.” Thousands of mobile businesses from industries including gaming, e-commerce and entertainment have worked with Liftoff’s products and solutions.
Location: Louisville, Colorado
AMP’s automated recycling sortation solutions rely on advanced technologies like artificial intelligence, machine learning and computer vision. Customers can opt for a turnkey plant equipped with the AMP ONE system’s capabilities or work with AMP on building a custom plant, which the company says can be ready for deployment within nine months.
Location: Ann Arbor, Michigan
Deepgram is a machine learning company that provides businesses in industries like media, healthcare and customer service with its cloud-based platform. It uses natural language processing and speech recognition powered by artificial intelligence to transcribe and analyze audio at scale. The company’s deep learning algorithms provide customizable and accurate speech-to-text solutions.
Location: Santa Monica, California
Metropolis applies computer vision and machine learning to power a checkout-free payment experience for drivers. Once drivers register with Metropolis, the company’s technology recognizes their license plates as they enter and exit parking facilities so they’re charged directly to their accounts without having to stop and hand over payment. Metropolis’ solutions also support revenue generation for parking operators.
Location: San Mateo, California
Upstart is a fintech company working to innovate digital lending. For example, it applies machine learning to power digital tools designed to help lenders improve performance and customer acquisition. The technology uses algorithms to make predictions about how likely a borrower is to default and enable more accurate, informed credit decisioning.
Location: New York, New York
Hyperscience turns human-readable content into machine-readable data by using ML (among other technology) to automate office work. In the healthcare industry, for example, Hyperscience’s platform can be used to process physician order forms and prescription forms faster to reduce costs and cut down on billing mistakes.
Location: Denver, Colorado
Strive’s CareMultiplier is its in-house machine learning technology. It compiles and standardizes data from predictive analytic models and other sources to gain insight into kidney patient data profiles. This information is delivered to its “Kidney Heroes,” who use the information to tailor patients’ care plans to their needs, so they may avoid costly events like ER visits.
Location: San Francisco, California
Monte Carlo offers data observability solutions that cover incident prevention, detection, alerts and resolution so companies don’t have to deal with the negative effects of data downtime. Its product includes a machine learning-enabled feature for identifying anomalies so they can be quickly addressed to maintain data quality and consistency.
Location: New York, New York
Fora Travel is working to drive innovation in the travel industry by equipping travel advisors with digital tools and training designed to help them provide quality service to their clients. The company uses advanced technologies like AI and machine learning to power solutions such as Sidekick, a virtual assistant that travel agents can use to easily access relevant information that supports an efficient booking process.
Location: Denver, Colorado
Gusto offers software for HR, payroll and benefits management. The machine learning team at Gusto owns the end-to-end lifecycle of projects, analyzing data and building predictive models. These experts work with design, engineering and product stakeholders.
Location: Santa Clara, California
SoundHound, an audio and speech recognition company, used ML in the development of its Speech-to-Meaning and Deep Meaning Understanding technology, which helps listeners find and share the music around them, or even a song that's in their head. The Houndify platform hosts more than 20,000 developers.
SoundHound partnered with Honda Motor Co., Ltd. to assist in the development of the car manufacturer’s voice-enabled AI assistant.
Location: South San Francisco, California
AKASA offers generative AI solutions aimed at reducing manual work in the healthcare revenue cycle. According to the company, its machine learning engineering team focuses on translating research into tools that deliver measurable value. It operates under a remote-friendly hybrid model, with team members and offices across the United States.
Location: Stamford, Connecticut
KAYAK is a travel search website that uses machine learning models and gobs of data from various travel service providers to power its recommendation engine. Consumers use the platform to explore and compare rates for hotels, flights, car rentals, cruise and vacation packages.
Location: San Francisco, California
Sojern helps its users strategize, automate and optimize their campaigns’ performances through its travel marketing platform that uses AI and machine learning. The company says its platform’s solutions help to build airline loyalty, enhance brand awareness, boost ticket sales and increase hotel bookings.
Location: New York, New York
Canoe automates the process of alternative investments, which are any investments in financial assets that aren’t in the conventional categories of cash, stocks and bonds. Its platform uses machine learning to extract and classify data from unstructured documents like capital statements and investor reports. The company allows users to create workflows for data collection and analysis.
Location: Fully Remote
Dropbox offers cloud-based tools to simplify digital workflows for business teams ranging from IT to sales and marketing. The company has been working to build out its team of machine learning engineers to support efficient development, prototyping and deployment of new artificial intelligence solutions.
Location: Bloomington, Minnesota
IDeaS uses big data to inform its revenue management solutions, which are designed for hospitality industry businesses like hotels, campsites and resorts. Its G3 Revenue Management System uses data science and machine learning technology to automate granular data analysis, create pricing recommendations and predict consumer behavior like price sensitivity and cancellations.
Location: Santa Monica, California
Snap is the software company responsible for the Snapchat app, which enables text and visual communications among millions of monthly mobile users around the world. Lens Studio is a Snap development tool that uses machine learning models to help creators and developers build custom augmented reality experiences for Snapchat as well as other apps and websites.
Location: Armonk, New York
IBM uses machine learning to provide automation solutions, predictive analytics and model deployment. Through its platforms IBM Watson and Watson Studio, the company helps organizations build, train and manage machine learning models. Its machine learning tools can also be used for risk detection and healthcare analytics, among other areas.
Location: Redmond, Washington
Microsoft uses machine learning technologies to develop consumer, enterprise and developer products. For example, on Azure, its cloud platforms, it uses machine learning services for data preparation and training to help businesses deploy custom AI applications. It also embeds machine learning into its Copilot chatbot, which can assist with content and code generation, among other uses.
Location: Washington, D.C.
Upside makes a cashback rewards app that brings the nuance and analytics of e-commerce to businesses in the brick-and-mortar world. Its app uses machine learning to infuse personalization into each user’s interface, providing them with cashback offers for retailers they are targeted as being likely to engage with.
Location: Mountain View, California
Google embeds machine learning across its products and cloud services. Its machine learning technologies power everything from internet searches to image recognition and translation tools. Meanwhile, for enterprise products and tools, its machine learning services can be used on Google Cloud to train and manage custom AI models.
Location: Cambridge, Massachusetts
MORSE specializes in software development, algorithm development and system integration services for national security applications. The employee-owned company, whose name is an acronym for mission-oriented rapid solution engineering, was selected by the Pentagon’s Joint Artificial Intelligence Center in 2022 to develop new software services to test and evaluate AI capabilities for the US military.
Location: Boston, Massachusetts
Klaviyo’s SaaS platform comes with features intended to streamline marketing operations. Data science and machine learning power Klaviyo’s predictive analytics capabilities, which provide brands with actionable insights that can inform decisions for marketing spending and personalizations for digital customer messaging.
Location: New York, New York
Rokt builds digital solutions meant to help e-commerce brands acquire new customers and get the most value out of every sale. Its technology relies on machine learning to personalize the ad messaging and product promotions displayed to consumers. Companies like Wells Fargo, Cinemark, Poshmark and Booking.com trust Rokt’s tools to support their growth.
Location: Costa Mesa, California
Veritone’s aiWARE platform uses machine learning for language identification, content classification, transcription, license plate recognition and other AI models. It can help turn audio, video and text into actionable intelligence that can be used to develop solutions for industries such as advertising, energy, government and public safety.
Location: Austin, Texas
Striveworks aims to eliminate the disconnect it sees between data and its interpretation for decision-makers. It offers a cloud-native platform that automates the data analytics process through the use of operational AI. The company provides dataset preparation, trainable models and data deployment to professionals like software engineers and data scientists.
Location: Boston, Massachusetts
Air Space Intelligence’s AI-enabled platform leverages simulation capabilities to enable predictive situational awareness and enhance decision making for organizations across critical industries, such as airlines, logistics providers and military operations. Its technology applies machine learning models to address real-world optimization and prediction challenges.
Location: Cambridge, Massachusetts
Businesses use Kensho’s tools to bring structure to data so they can gather insights to drive decision making. For example, the Kensho Classify solution applies AI and machine learning to allow users to search for and tag information that falls under specific concepts within text documents. Users can submit concept definitions to train custom models.
Frequently Asked Questions
What kinds of industries are using machine learning today?
Machine learning is being applied across many industries, including healthcare, travel, advertising, finance, cybersecurity, education, logistics, energy and public safety. Companies use ML for tasks such as fraud detection, predictive analytics, recommendation engines, automation and customer personalization.
What are some top companies leveraging machine learning?
Some notable companies using ML include Amazon Web Services, Databricks, DataRobot, Veritone, SoundHound, Unity Interactions, AKASA, Kensho Technologies, Metropolis Technologies, OpenX Technologies, KAYAK and many more.
How do companies use machine learning to improve their products or services?
Machine learning is used to enhance personalization, automate repetitive tasks, predict outcomes, improve decision-making and optimize operational efficiency. For example, KAYAK uses ML for travel recommendations and Metropolis uses it for license plate recognition to automate payments.
