Rudimentary forms of machine learning — whereby machines are trained to learn various tasks and amplify their effectiveness through AI — have been around for a while. But today’s version, which involves the marriage of big data and complex mathematics, is a breed apart. And its uses are multiplying quickly.
The new paradigm in ML is the eventual evolution beyond systems that perform narrowly defined tasks, as Google senior fellow and Google Brain lead Jeff Dean explained:
“What we really want is a system that can do a hundred thousand things,” Dean has said, “and then when the hundred thousand-and-first thing comes along that it’s never seen before, we want it to learn from its experience to be able to apply the experience it’s gotten in solving the first hundred thousand things to be able to quickly learn how to do thing hundred thousand-and-one.”
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
- Instacart
- Amazon Web Services
- Databricks
- Dataiku
- Veritone
- DataRobot
- SoundHound
- Unity Interactions
Machine Learning Companies to Know
Location: San Francisco, California
Publica builds technology for connected TV, or CTV, advertising. Its Elea ai solution relies on a machine learning algorithm to power its logo recognition capabilities so that streaming services can optimize frequency capping and ensure viewers aren’t inundated with repeated ads from the same brand.
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. It enables data access and handles document and data extraction. The company allows users to create workflows for data collection and analysis.
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: 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: 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: 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: Costa Mesa, California
Veritone’s aiWARE platform can support 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: Boston, Massachusetts
Biopharmaceutical company Asimov uses advanced biotechnology — such as machine learning, computer-aided design and synthetic biology — to create genetically engineered therapeutics, including biologics and gene therapies, to improve healthcare outcomes. The company has offices in Boston, Massachusetts, and Boulder, Colorado.
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: 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: 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: 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.
Location: Pittsburgh, Pennsylvania
Duolingo, the language-learning platform that encourages people to keep up with their vocab lessons, relies on machine learning to quickly identify the user-reported issues that need to be addressed (as opposed to the ones that are not really issues at all). It achieves this by using a logistic regression algorithm that figures out how likely it is that the issue report is valid.
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: 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: 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: 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: 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: 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: 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: 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: Lenexa, Kansas
TrueAccord 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: 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: 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: Fully Remote
Duo Security uses machine learning across its suite of cybersecurity products and services to provide advanced threat detection, authentication and fraud prevention services. By aggregating and analyzing user authentication patterns and behaviors, it can quickly detect anomalies, enabling clients to respond to potential threats proactively.
Location: Remote First
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: 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: Fully Remote
Redflag AI uses machine learning to power its software platform’s automations for analyzing online text, images, video and audio content to identify intellectual property infringement. The technology is capable of crawling a broad range of sources throughout the web, including several social media platforms.
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: Cambridge, MA
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: 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: Redwood City, California
Course Hero’s online platform connects students with study materials and homework assistance. Its solutions include quizzes on a variety of subjects, a spell checker and access to expert tutors. The company applies artificial intelligence and machine learning to power its edtech tools.
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: 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: San Francisco, California
Instacart is a technology company aiming to innovate grocery shopping and delivery. An important component of its tech is machine learning, which powers models for use cases such as improving the search function on Instacart’s app, predicting in-store product availability and personalizing the customer experience.
Location: Pasadena, California
OpenX, is a fully cloud-based adtech company. It makes use of advanced AI and machine learning capabilities through Google Cloud AI that allow it to analyze inventory and data usage, which ultimately gives the company better visibility into tech costs and ROI. It also uses machine learning to improve ad targeting and reduce spam.
