As artificial intelligence (AI) has become a growing force in business, today’s top AI companies are leaders in this emerging technology. Often leveraging cloud computing and edge computing, AI companies mix and match various technologies to meet and exceed use case expectations in the home, the workplace, and the greater community.
Machine learning (ML) leads the pack in this realm, but today’s leading AI firms are expanding their capabilities through other technologies, from predictive analytics to business intelligence (BI) to data warehouse tools to the deep learning (DL) segment of AI, alleviating several industry pain points. To help organizations keep up with the AI market, see this breakdown of top companies playing a key role in shaping the future of AI — by industry:
Top AI Companies by Industry
- Cloud AI Companies
- Health Care AI Companies
- Vehicle/Transportation AI Companies
- Security AI Companies
- E-Commerce AI Companies
- Financial AI Companies
- Education AI Companies
- Manufacturing/Engineering AI Companies
- Energy/Environment AI Companies
- Robotics AI Companies
- Entertainment AI Companies
Cloud AI Companies
Major cloud companies, such as Microsoft and Google, have created their own cloud AI tools, along with competitors, including DataRobot.
Here are eight the top cloud AI companies:
1. Google Cloud
Google, a leader in AI and data analytics, is on a massive AI acquisition binge, having acquired a number of AI startups in the last several years. Google is deeply invested in furthering artificial intelligence capabilities. In addition to using AI to improve its services, Google Cloud sells several AI and machine learning services to businesses. It has an industry-leading software project in TensorFlow as well as its own Tensor AI chip project.
2. IBM Cloud
IBM is a leader in the field of artificial intelligence. Its efforts in recent years center around IBM Watson, an AI-based cognitive service, AI software as a service, and scale-out systems designed for delivering cloud-based analytics and AI services. It has been acquisitive, purchasing several startups over several years. It benefits from having a strong cloud platform.
3. Alibaba Cloud
A leading cloud platform in Asia, Alibaba offers clients a sophisticated machine learning platform for AI. Significantly, the platform offers a visual interface for ease of use, so companies can drag and drop various components into a canvas to assemble their AI functionality. Also included in the platform are scores of algorithm components that can handle any number of chores, enabling customers to use pre-built solutions.
4. Amazon Web Services (AWS)
AWS provides AI services that use the tools for a company’s applications and workloads. Their AI services integrate with their infrastructure to help a company address their recommendations, modernizing contact centers, security, and customer engagement. The service gives quality ML services to give accurate APIs. AWS AI requires no formal experience with ML or AI, which is a great feature for businesses who are beginning to update their systems.
5. DataRobot
A high-profile emerging cloud AI company, DataRobot provides the experienced data scientist with a platform for building and deploying machine learning models. The software helps business analysts build predictive analytics with no knowledge of machine learning or programming and uses automated ML to build and deploy accurate predictive models quickly.
6. Baidu AI Cloud
China-based Baidu is a company with a focus on AI and the cloud. Baidu supports AI platform-as-a-service (PaaS) and AI SaaS solutions across many industries, such as transportation, finance, manufacturing, and media. To help their customers, Baidu uses AI, machine learning, deep learning, language processing, video, and data analysis. Baidu is mostly used by developers.
7. Microsoft Azure
Microsoft offers a mix of consumer-facing and business AI projects. On its Azure cloud service, Microsoft sells a range of AI services, such as bot services, machine learning, and cognitive services. Recently, Microsoft has invested in OpenAI to further their partnership and create new AI technology. “Azure’s unique architecture design has been crucial in delivering best-in-class performance and scale for our AI training and inference workloads,” says a representative from OpenAI about their partnership.
8. Salesforce
In recent years, Salesforce has acquired a handful of AI startups and sharpened the features of Salesforce Einstein, their artificial intelligence service. The initiative, which includes an extensive team of data scientists, uses machine learning to help employees more efficiently perform tasks by simplifying and speeding them up. In addition to Salesforce’s employees, Einstein is available for customers who can build their own applications and are interested in features, like recommendation builder, scorecards, and in-depth navigation insights.
Learn more about Cloud Computing
Healthcare AI Companies
Artificial intelligence within healthcare has become a helpful tool to catch early signs of disease, what medicine works best for a patient, and speed up vaccination creation and processes.
Here are 12 of the top healthcare AI companies:
9. Tempus
Tempus, specializing in “data-driven precision medicine,” uses an AI application strategy to fight disease and bolster patient outcomes. It gathers and analyzes massive pools of medical and clinical data at scale to provide precision medicine that personalizes and optimizes treatments to each individual’s specific health needs. Applications include neurology, psychiatry, and oncology.
10. Suki.Ai
It’s not enough that Suki offers an AI-powered software solution that assists doctors as they make voice notes on a busy day. Suki’s aim — using the power of AI to learn over time — is to mold and adapt to users with repeated use, so the solution becomes more of a time saver and efficiency booster for physicians over time. As a sign of the times, Suki was delivered with COVID-19 data and templates to speed up the vaccination and health tracking processes.
11. Nanox
Nanox has completed its acquisition of Zebra Medical Systems, an Israeli company that applied deep learning techniques to the field of radiology. It claims it can predict multiple diseases with better than human accuracy, by examining a huge library of medical images and specialized examination technology. It also moved its AI algorithms to Google Cloud to help it scale and offer inexpensive medical scans.
12. Freenome
Freenome uses artificial intelligence to conduct cancer screenings and diagnostic tests to spot signs of cancer earlier than possible with traditional testing methods. It uses non-invasive blood tests to recognize disease-associated patterns. The company’s solution has trained on cancer-positive blood samples, which enables it to detect problems using specific biomarkers.
13. Neurala
Neurala claims that it helps users improve visual inspection problems using AI technology. The company manages The Neurala Brain, a deep learning neural network software that makes devices, like cameras, phones, and drones, smarter and easier to use. AI tends to be power hungry, but the Neurala Brain uses audio and visual input in low-power settings to make simple devices more intelligent.
14. ICarbonX
iCarbonX is a Chinese biotech startup that uses artificial intelligence to provide personalized health analyses and health index predictions. It has formed an alliance with several technology companies from around the world that specialize in gathering different types of healthcare data and will use algorithms to analyze genomic, physiological, and behavioral data. It also works to provide customized health and medical advice.
15. Flatiron Health
Using machine learning to mine health data for cancer research, Flatiron finds cancer research information in near real-time, drawing on a variety of sources. The company raised more than $175 million in Series C funding before being acquired by cancer research giant Roche.
See more: Using AI for Better Decision-Making
16. Deep 6
Deep 6 uses AI to, in its own words, “find more patients in minutes, not months.” The patients in this sense are participants in clinical trials — a critical part of the research process in developing new medicine. Certainly one of the challenging issues that were faced during the quest for a COVID-19 vaccine was finding a community of appropriate candidates. Deep 6 finds these kinds of communities by using an AI-powered system to scan through medical records, with the ability to understand patterns in human health.
17. Butterfly Network
Using AI to make healthcare more affordable and accessible, Butterfly Network provides a handheld medical diagnostic device that connects with a user’s smartphone. This device, powered by Butterfly iQ, allows an ultrasound examination of the entire body, at a far lower cost than legacy systems. This is especially helpful for underserved communities where health care resources are scarce.
18. K Health
There’s a gray area in our lives in terms of health care; we ask ourselves, does this problem I’m having really require making a doctor’s appointment, or could a major dose of simple information be enough? K Health’s AI solution operates in this area. Users can text a doctor or find similar cases near them, which has been particularly useful for COVID-19. Using a model built from a vast store of anonymous health records, its system offers help based on how a user’s complaint correlates with this vast history of other patients. Think of K Health as the advanced edge of telemedicine.
19. Insitro
Insitro operates at “the convergence of human biology and machine learning.” More specifically, it uses artificial intelligence to build models of various human illnesses, using those models to forecast previously unknown solutions beyond human intuition. These models use the power of ML to improve drug discovery and development. Founded by Daphne Koller, Insitro has drawn investment from an exhaustive array of VC and financial firms.
Learn more about AI in healthcare
Vehicle/Transportation AI Companies
Artificial intelligence is being used by vehicle and transportation companies to help create safer streets, railways, and air travel.
Here are eight of the top vehicle and transportation AI companies:
20. Anduril Industries
Palmer Luckey is one of the most intriguing figures in today’s emerging tech. He co-founded Oculus, which Facebook bought for a cool $2 billion. Post-Facebook and at the ripe age of 27, he launched Anduril with co-founder Brian Schimpf. Anduril adds sophisticated sensors, vehicles, and drones to create a threat protection zone. Products include Sentry Tower for autonomous awareness, Ghost 4 sUAS for intelligent air support, and Anvil sUAS for precision kinetic intercept.
21. AEye
AEye builds the vision algorithms, computer vision strategy, software, and hardware used to guide autonomous vehicles, or self-driving cars. Its LiDAR technology focuses on the most important information in a vehicle’s sightline, such as people, other cars, and animals, while putting less emphasis on other landscape features, like the sky, buildings, and surrounding vegetation. AEye has also entered into a merger agreement with CF Finance Acquisition Corp. III.
See more: 5 Top Computer Vision Trends
22. Pony.Ai
Pony.ai develops software for autonomous vehicles. The company was created by ex-Google and Baidu engineers who felt that the big companies were moving too slowly in this arena. It has already made its first fully autonomous driving demonstration and now operates a self-driving ride-sharing fleet in Guangzhou, China, using cars from a local automaker. The company raised $400 million in funding from Toyota.
23. Nauto
Nauto offers an AI-powered driver behavior learning platform. So instead of self-driving cars, Nauto is an AI model designed to improve the safety of commercial fleets and autonomous fleets. The platform assesses how drivers interact with the vehicle and the road ahead to reduce distracted driving and prevent collisions.
24. Nuro
Nuro makes small self-driving electric delivery trucks designed for local deliveries, such as groceries or takeout. Its founders previously worked on Google’s Waymo self-driving car project. Overall, the company’s goal is to boost the value of robotics in daily life.
25. Zoox
Acquired in a $1.2 billion deal by Amazon, Zoox still operates as an independent company within Amazon. Zoox focuses on building a self-driving fleet, hence Amazon’s interest. Their AI-based vehicle is geared for the robo-taxi market.
26. DJI
Based in China, DJI is a big player in the rapidly growing drone market. The company is leveraging AI and image recognition to track and monitor the landscape, and it’s expected that the company will play a role in the self-driving car market. DJI has partnered with Microsoft for a drone initiative.
27. Orbital Insight
Orbital Insight uses satellite geospatial imagery and artificial intelligence to gain insights not visible to the human eye. It uses data from satellites, drones, balloons, and other aircraft to look for answers or insight on things related to the agriculture and energy industries that normally wouldn’t be visible. The company describes itself as a leader in geospatial analytics.
Learn more about Vehicle/Transportation AI
Security AI Companies
Companies are adding AI to their software to help identify, predict, and respond to cybersecurity threats. Many AI security products are working to detect vulnerabilities based on previous threats.
Here are eight of the top security AI companies:
28. CrowdStrike
This cloud-based SaaS company focuses on endpoint security. Leveraging AI, CrowdStrike’s Falcon platform can identify what it calls active indicators of attack to detect malicious activity before a breach actually happens. It presents the network administrators with actionable intelligence of real-time findings for them to take necessary action.
29. BlackBerry
BlackBerry has acquired the AI cybersecurity company Cylance. The two joined forces to develop security apps that prevent, instead of reactively detect, viruses and other malware. Using a mathematical learning process, BlackBerry Cybersecurity identifies what is safe and what is a threat rather than operating from a blacklist or whitelist. The company claims its machine learning has an understanding of a hacker’s mentality to predict their behavior.
30. DataVisor
DataVisor uses machine learning to detect fraud and financial crime, using unsupervised machine learning to identify attack campaigns before they result in any damage. DataVisor protects companies from attacks, such as account takeovers, fake account creation, money laundering, fake social posts, and fraudulent transactions.
31. Sherpa.Ai
Sherpa is a virtual personal assistant that works with a user’s entire array of devices, inferring and predicting their needs that allow the assistant to learn about the users and anticipate their needs before they ask. It works with many consumer devices and any accessory that could use some kind of intelligence in privacy or cybersecurity. Tapping a growth market, Sherpa sells white label digital assistants for consumer applications.
32. BigPanda
The goal of BigPanda is to leverage AI to lessen or stop IT outages before they take down a full business, an e-commerce operation, or a mission-critical application. In essence, this company’s goal is the magic of AIOps, using AI to improve admin and IT operation, which is a major growth area.
33. Symphony AyasdiAI
Ayasdi was acquired by the SymphonyAI Group. Symphony AyasdiAI is a machine intelligence software company that offers intelligent applications to its clients around the world for big data and complex data analytics problems. Its goal is to help customers automate what would be manual processes of using their own unique data. Symphony AyasdiAI also partnered with Sionic, leading to a greater focus on financial crime detection.
34. Dataminr
Dataminr is a global real-time information discovery company that monitors news feeds for high-impact events and critical breaking news. It cuts through the clutter of non-news or irrelevant news to specific industries and only provides highly relevant news when it happens. For news-sensitive vendors, its goal is to detect early risks from media coverage.
35. Darktrace
Cybersecurity company Darktrace is based in the U.K., focusing on how to help customers keep their data and infrastructure secure. Using self-learning AI, Darktrace can detect specific needs of their customers. Darktrace works to prevent, detect, respond, and heal from cyberattacks all at once.
See more: 3 Missing Strategic Opportunities for AI
E-Commerce AI Companies
From marketing to sales, AI e-commerce providers are helping companies use big data to increase revenue through better demand planning and real-time optimizations and targeting.
Here are 24 of the top e-commerce AI companies:
36. Algorithmia
Is there a better name for an AI company than Algorithmia? Now a DataRobot company after an acquisition, Algorithmia’s goal is to help data scientists find and use algorithms. It was initially an exchange for algorithms on a one-off, single-user basis. As it has grown, it has set its sights on the enterprise market.
37. The Trade Desk
A company designed to help digital advertisers run targeted digital advertising campaigns, The Trade Desk uses AI to optimize its customers’ advertising campaigns for their appropriate audiences. Their AI, known as Koa, was built to analyze data across the internet to figure out what certain audiences are looking for and where ads should be placed to optimize reach and cost. The Trade Desk also allows you to launch your digital ads independently but uses its AI to offer performance suggestions while your campaign is live.
38. Swim.Ai
Swim.ai’s goal is to enable businesses to mine continuously streaming data into actionable insights. Leveraging machine learning, the company’s “open core platform” augments the decision-making process by providing streaming data and contextualizing data sources. The SwimOS is open source.
39. Phrasee
Phrasee specializes in natural language generation for marketing copy. Its natural language generation system can generate millions of human-sounding variants of marketing at the touch of a button, allowing customers to tailor their copy to targeted customers. Retail, marketing, and AI are a combination of a rapid growth curve in the AI sector. During the COVID-19 pandemic, several retailers, such as Walgreens, used Phrasee to boost customer engagement related to vaccination.
40. Pymetrics
Based in New York City, Pymetrics leverages AI to help companies hire optimal candidates by examining more than what’s traditionally included in a resume scan. Customers have their best employees fill out the Pymetrics assessment, which then creates a model for what future ideal candidates should bring to the table. In essence, the AI-based system is attempting to find more new staff that will fit in well with the existing top staff, using AI and behavioral science.
41. People.Ai
People.ai’s goal is to streamline the life of salespeople, assisting them in putting the reams of small details into relevant CRM systems, chiefly Salesforce. Think of all those pesky info bits from texting, your calendar, and endless Slack conversations — the company aims to help you with all of that. Plus, the system attempts to coach sales reps on the most effective ways to manage their time.
42. AlphaSense
AlphaSense is an AI-powered search engine designed for investment firms, banks, and Fortune “500” companies. The search engine focuses on searching for important information within earnings call transcripts, SEC filings, news, and research. The technology also uses artificial intelligence to expand keyword searches for relevant content.
43. Icertis
The remarkable truth about AI is that it keeps moving up the food chain in terms of the sophisticated tasks it can handle. Taking a big step up from simple automation, Icertis, with a decade under its belt, handles millions of business contracts through a method they call contract intelligence. Leveraging the cloud, the company’s solution automates certain tasks and scans previous contract details. The company has gained some big clients , like Microsoft, and was named a Gartner leader.
44. Bizzabo
Bizzabo acquired X.ai. Geared to assist the busiest of people, X.ai’s intelligent virtual assistant “Amy” helps users schedule meetings. The concept is simple: If you receive a meeting request but don’t have time to work out logistics, you copy Amy in the email, and she handles it. Through machine learning and natural language processing, Amy schedules the best time and location for your meeting based on your preferences and schedule.
45. One Model
Human resources can be a bifurcated digital workspace, with different apps for each task that HR handles. OneModel is a talent analytics accelerator that helps HR departments handle employees, career pathing, recruiting, succession, exits, engagement, surveys, HR effectiveness, payroll, planning, and other HR features all in one place and in a uniform way. The company’s core goal is to equip HR pros with machine learning smarts.
46. CopyAI
A fairly new startup in the AI copywriting space, Copy.ai uses basic inputs from users to generate marketing copy in seconds. It can create copy for a variety of different formats, including article outlines, meta descriptions, digital ads, social media content, and sales copy. Copy.ai has raised $2.9 million in funding from Craft Ventures and several other smaller investors. With its use of the GPT-3 language model to generate words, Copy.ai is a content-driven AI tool to keep an eye on.
47. C3.Ai
Focusing on enterprise AI, C3.ai offers a wide array of pre-built applications, along with a PaaS solution, to enable the development of enterprise-level AI, IoT applications, and analytics software. These AI-fueled applications serve a wide array of sectors and industry verticals, from supply chains to health care to anti-fraud efforts. The goal is to speed up and optimize the process of digital transformation.
48. Accubits
Accubits, a top-rated AI development company, focuses most of its energy on helping businesses enable AI for new efficiencies in their existing systems. Some of their AI solutions include intelligent chatbots in CRMs and predictive health diagnostics, both of which are designed to mesh with your existing software infrastructure. Accubits works across industries, like consumer technology, automotive, cybersecurity, health care, and fashion.
49. SS&C Blue Prism
SS&C Technologies completed an acquisition of Blue Prism, a leading RPA company. Blue Prism uses AI-fueled automation to do an array of repetitive, manual software tasks, which frees human staff up to focus on more meaningful work. The company’s AI laboratory researches automated document reading and software vision. To further boost its AI functionality, Blue Prism bought Thoughtonomy, which offers AI-based cloud solutions.
50. DocuSign
A well-known technology company in the contract world, DocuSign uses e-signature technology to digitize the contracting process across a multitude of industries. Many users don’t realize some of the AI features that DocuSign powers, such as AI-powered contract and risk analysis that is applied to a contract before you sign. This AI process lends itself to more efficient contract negotiations and/or renegotiations.
51. Tetra Tech
Tetra Tech uses AI to take notes on phone calls, so people working in call centers can focus on discussions with the callers. It uses AI to generate a detailed script of dialogues using its speech recognition technology. Given the large market for call centers, and the need to make them more effective at low cost, this is a big market for AI.
52. Nvidia
Nvidia’s emergence as an AI leader was hardly overnight. It has been promoting its CUDA GPU programming language for nearly two decades. AI developers have come to see the value in the GPU’s massively parallel processing design and embraced Nvidia GPUs for machine learning and artificial intelligence.
53. ViSenze
ViSenze’s artificial intelligence visual recognition technology works by recommending visually similar items to users when shopping online. Its advanced visual search and image recognition solutions help businesses in e-commerce, m-commerce, and online advertising by recommending visually similar items to online shoppers.
54. ServiceNow
Element AI was acquired by ServiceNow. Originally based in Montreal, Element AI provides a platform for companies to build AI-powered solutions, particularly for companies that may not have the in-house talent to do it. Element AI says it supports app-building for predictive modeling, forecasting modeling, conversational AI and NLP, image recognition, and automatic tagging of attributes based on images.
55. Pointr
Pointr is an indoor positioning and navigation company with analytics and messaging features that help people navigate busy locations, like train stations and airport terminals. Its modules include indoor navigation, contextual notifications, location-based analytics, and location tracking. Its Bluetooth beacons use customer phones to help orient them around the building.
56. Directly
Considered one of the best AI-driven customer support tools on the market, Directly counts Microsoft as a customer. It helps its customers by intelligently routing their questions to chatbots to answer their questions personally or to customer support personnel. It prides itself on intelligent automation.
57. Rulai
You have surely encountered the limited conversational style of a chatbot; a few stock phrases delivered in a monotone. Rulai is working to change this using the flexibility and adaptability of AI. The company claims its level 3 AI dialog manager can create “multi-round” conversations without requiring code from customers. Clearly a major growth area.
58. Tamr
In a world run by data, in many cases, someone, or some system, has to prep that data so it’s usable. Data preparation is unglamorous but absolutely essential. Tamr combines machine learning and human tech staff to help customers optimize and integrate the highest value datasets into operations. Referred to as an enterprise-scale data unification company, Tamr enables cloud-native, on-premise, or hybrid scenarios — truly a good fit for today’s data-driven, multicloud world.
59. Aurea Software
Aurea Software acquired Xant and returned the brand to its original and widely recognized name, InsideSales, that same year. InsideSales is a sales acceleration platform with a predictive and prescriptive self-learning engine, assisting in a sale and providing guidance to the salesperson to help close the deal. At its core is machine learning.
For more: Artificial Intelligence (AI) in Retail
Financial AI Companies
AI in finance is being used to help reduce debt, eliminate fraud, and offer higher approval rates. Both banks and consumers can benefit from AI in financial offerings.
Here are seven of the top financial AI companies:
60. HighRadius
Based in Houston, HighRadius is a finance AI platform to help many large companies across the world to transform their organization’s cash, treasury, and records. HighRadius works to deliver measurable business outcomes for working capital optimization, debt reduction, reduce month-long timelines, and improve employee productivity within six months.
61. Signifyd
Based in San Jose, California, Signifyd is an AI financial company with a goal to provide an end-to-end commerce protection platform for their customers that can leverage its commerce network to maximize conversion, eliminate fraud, and avoid consumer abuse.
62. Numberai
San Francisco-based Numerai is a financial AI company that manages an institutional grade global equity strategy for investors. Using machine learning to transform and regulate their global network of data scientists. Numberai created the first encrypted data science tournament for stock market predictions.
63. Cleo
London-based Cleo is a financial AI company that uses an AI assistant to help their customers improve their relationship with money and financial health. Cleo’s AI assistant gives customers deep insights into their money while also helping customers save and budget their finances. Cleo aims to grow and develop with their customers.
64. Fount
Fount, an AI investment company based in Seoul, provides AI asset management services for their customers stretching across over 20 global financial institutions. Fount aims to pursue stable returns for their customers by diversifying investments. Fount provides sensitivity to global trends as well.
65. Upstart
Upstart, based in San Mateo, California, is an AI lending company that partners with banks and credit unions to offer more affordable credit. The banks and credit union customers that work with Upstart are more likely to have higher approval rates and lower loss rates. After being a public company, Upstart plans to leverage domain expertise and change aspects of leading and credit risk evaluation.
66. Brighterion
Once a stand-alone company and now a division of MasterCard, Brighterion offers AI for the financial services industry, specifically designed to block fraud rates. The company’s AI Express is a fast-to-market solution, within six to eight weeks, that is custom designed for customer use cases. Its solution is used by a majority of the 100 largest banks.
To learn more about AI in finance
Education AI Companies
The education industry is usingAI to help students and teachers alike with tutoring, transcription, personalization, and real-time feedback.
Here are six of the top education AI companies:
67. Riiid
Riiid is a leading AI education platform to empower global education outside of traditional ways of learning. Based in Mountain View, California, Riiid is a tutoring service based on deep-learning algorithms while replacing traditional textbooks and lectures. Riiid can be more affordable than human tutoring, drawing international success.
68. Iris.Ai
Iris.ai helps researchers sort through cross-disciplinary research to find relevant information, and as it is used more often, the tool learns how to return better results. Since its launch, many people have tried the service with some becoming regular users. Its Iris.ai release includes the Focus tool, an intelligent mechanism to refine and collate a reading list of research literature, cutting out a huge amount of manual effort.
69. Rev.Com
In a world with a vast ocean of podcasts and videos to transcribe, Rev uses AI to find its market. An AI-powered, but human-assisted, transcription provider, the company also sells access to developers, so tech-savvy folks can use its speech recognition technology. But the key part here is the combination of humans with AI, which is a sweet spot in the effective use cases for artificial intelligence. With a growing need for accessibility features in audiovisual production especially, expect more AI competitors to take advantage of a similar business model in the future.
70. Clarifai
Clarifai is an image recognition platform that helps users organize, filter, and search their image database. Images and videos are tagged, teaching the technology to find similarities in images. Its AI solution is offered via mobile, on-premises, or API interfaces. Beyond image recognition, Clarifai also offers solutions in computer vision, natural language processing, and automated machine learning.
71. HyperScience
HyperScience is designed to cut down on the tedium of mundane tasks, like filling out forms or data entry of handwritten forms. It also processes the relevant information from forms rather than requiring that a human read through the whole form. It touts itself as intelligent document processing.
72. Narrative Science
Narrative Science, a Salesforce company since its acquisition, creates natural language generation technology to translate data from multiple silos into what it calls stories. AI highlights only the most relevant and interesting information, to turn data into easy-to-understand reports, transform statistics into stories, and convert numbers into knowledge. To be sure, data storytelling is a key trend to watch.
For more: How AI is Being Used in Education
Manufacturing/Engineering AI Companies
AI manufacturing companies are working to revolutionize production methods and equipment to increase output while making factories faster and safer.
Here are eight of the top manufacturing and engineering AI companies:
73. CognitiveScale
CognitiveScale builds customer service AI apps for the health care, insurance, financial services, and digital commerce industries. Its products are built on its Cortex-augmented intelligence platform for companies to design, develop, deliver, and manage an enterprise-grade AI system. It also has an AI marketplace, which is an online AI collaboration system where business experts, researchers, data scientists, and developers can collaborate to solve problems.
74. Lobster Media
AI meets social media. Lobster Media is an AI-powered platform that helps brands, advertisers, and media outlets find and license user-generated social media content. Its process includes scanning major social networks and several cloud storage providers for images and video, using AI-tagging and machine learning algorithms to identify the most relevant content. It then provides those images to clients for a fee.
75. SenseTime
Based in Asia, SenseTime develops facial recognition technology that can be applied to payment and picture analysis. It is used in banks and security systems. Its valuation is impressive, racking several billion dollars in recent years. The company specializes in deep learning, education, and fintech.
76. Bright Machines
Automation in factories has been progressing for years, even decades, but Bright Machines is working to push it a quantum leap forward. Based in San Francisco, the AI company is leveraging advances in robotics like machine learning and facial recognition to create an AI platform for digital manufacturing. Its solutions can accomplish any number of fine-grain tasks that might previously have required the exactitude of a skilled human.
77. Graphcore
Graphcore makes what it calls the Intelligence Processing Unit (IPU), a processor specifically for machine learning used to build high-performance machines. The IPU’s unique architecture allows developers to run current machine learning models orders of magnitude faster and undertake entirely new types of work not possible with current technologies.
78. Deepmind
Acquired by Alphabet, Deepmind is a research firm that focuses on AI research, covering everything from climate change to healthcare and finance. Its goal is to build “safe” AI that evolves in its abilities to solve problems. The company is based in London and recruits heavily from Oxford and Cambridge, which are leading universities in Europe for AI and ML research.
79. Domino Data Lab
Certainly an AI company with a certain buzz about it, Domino is a SaaS solution that helps tech and data professionals program and test AI models. Think of it as a gathering place, an aggregation of sorts, for the AI community. Expect Domino to grow rapidly in the years ahead. Based in San Francisco, the company touts itself as a platform for data science.
80. OpenAI
OpenAI is a nonprofit research firm that operates under an open-source type of model to allow other institutions and researchers to freely collaborate, making its patents and research open to the public. The founders say they are motivated in part by concerns about existential risk from artificial general intelligence. ChatGPT is a recent part of OpenAI that allows users to generate text from poetry to short stories. However, despite OpenAI being nonprofit, ChatGPT is now its own for-profit company.
See more: 5 Top Trends in Sentiment Analysis
Energy/Environment AI Companies
AI is being used by companies to better plan real-world projects and efficiently use resources as well as produce both energy and food..
Here are eight of the top energy and environmental-focused AI companies:
81. SenSat
SenSat builds digital copies of physical environments and applies AI modeling to understand the parameters of that environment and provide valuable feedback. For example, it can give spatial and volume statistics about a roadway that is about to undergo repair work. Boosting SenSat’s fortunes, Tencent led a $10 million investment in the company.
82. Blue River Technology
Blue River Technology is a subsidiary of Deere & Co. that combines artificial intelligence and computer vision to build smart farm tech, a growing need given population growth. The company’s See & Spray technology can detect individual plants and apply herbicide to the weeds only. This is designed to reduce the number of chemicals sprayed by up to 90% over traditional methods.
83. Stem
Stem is a veteran energy storage firm that has adopted AI to help automate energy management. It uses its industry-leading AI platform, Athena, to determine when to charge energy storage systems and when to draw on them. Athena focuses on energy forecasting and automated control.
84. Xanadu
Based in Canada, Xanadu is a quantum hardware and technology outfit that is developing a type of quantum computer based on photonic technology. Instead of transmitting energy via electrons, Xanadu’s system employs laser light to move data. That means no more energy-hungry, overheating electric machines, among other advantages.
85. Ambyint
A Canadian-based startup, Ambyint, is working towards reducing cost within the oil exploration market. Amybyint plans to do this by using AI-powered management with the ability to analyze platforms with on-site equipment. Ambyint’s AI management works to deliver real-time control and optimize a company’s production.
86. VIA
VIA, a startup in the United States, uses AI to connect smart meters, drones, and sensors on energy assets that are processed and checked to predict energy demands, grid loads, outages, and how much renewable energy is generated by solar panels and wind turbines. This is done by using machine learning algorithms to process all the information needed.
87. Siemens
Munich-based Siemens focuses on areas like energy, electrification, digitalization, and automation. They also work to develop resource-saving and energy-efficient technologies and are considered a leading provider of devices and systems for medical diagnosis, power generation, and transmission. The Siemens website also refers to “AI at the beer garden.”
88. Zymergen
AI biotech company Zymergen describes itself as a “biofacturer.” One of their offerings is called Hyline, a bio-based polyimide film. Their work includes applications for pharmaceutical companies, agriculture, and industrial uses. The company is based in Emeryville, California.
To learn more: Energy in AI
Robotics AI Companies
Robotics companies are working to integrate AI into machines to support companies and their workers through automation, with everything from manufacturing to customer service.
Here are seven of the top robotics AI companies
89. Bossa Nova Robotics
The robots imagined by 1950s futurists were tin people that could walk and talk. It hasn’t quite turned out that way yet), but Bossa Nova Robotics is using AI to make today’s robots more effective. Indeed, modern robots are rarely shaped like humans; Bossa Nova’s robots resemble tall vacuum cleaners. Ironically, Bossa Nova started as a robotic toy maker but now has full-scale robots in retailers, like Walmart. The robots roll up and down the shelves, spotting inventory problems and allowing cost savings on human employment.
90. CloudMinds
CloudMinds is an AI cloud robotics company. Founded in Irvine, California, CloudMinds uses cloud AI to create humanoid robots that can be helpful to both companies and average households. CloudMinds set a goal that by 2025, they will create affordable robots for customers and reach out internationally to help people and markets everywhere.
91. Vicarious
With backing from some real tech heavyweights — Jeff Bezos, Elon Musk, and Mark Zuckerberg — Vicarious’s goal is nothing less than to develop a robot brain that can think like a human. It hasn’t been particularly forthcoming with details, but its AI robots, geared for industrial automation, are known to learn as they do more tasks.
92. HiSilicon
Running AI is exceptionally data-intensive, the more data the better, and so today’s chipmakers, like Intel and Nvidia, are star players. Add to that list HiSilicon. The company fabricated the first AI chip for mobile units. Impressively, the chip accomplishes tasks like high-speed language translation and facial recognition.
93. UiPath
Arguably the top vendor in the robotic process automation sector, UiPath makes an enterprise software platform that includes tools for robot licensing, provisioning, scheduling, monitoring, and alerting. Its robots do the mundane work of communication between legacy apps, so developers can focus on new AI-oriented apps.
94. Smart Eye
Arguably, the two final frontiers in artificial intelligence are ethics and emotion. Can software decide between right and wrong, in a moral sense? And can software “feel” emotions? Affectiva is dealing with this latter issue by using AI to help systems understand the emotions in a human face and conversation. Affectiva was acquired by Smart Eye, a supplier of driver monitoring systems for automakers.
95. Qualcomm
Driving the AI revolution with the highly capable smartphone chips it makes, Qualcomm leverages a signal processor for image and sound capabilities. Qualcomm acquired NUVIA, a competitive CPU and technology design company, ultimately enhancing CPU opportunities for the future. Given its market size and power, it’s likely that Qualcomm will continue to be a key driver of AI functionality in the all-important consumer device market.
For more: 5 Top Trends in AI Robotics
Entertainment AI Companies
The entertainment industry is using AI to advance augmented reality (AR) experiences and voice-based apps through natural language processing (NLP) as well as to screen social media content.
Here are five of the top entertainment AI companies:
96. Discord
The gaming chat app company Discord acquired Ubiquity6, an augmented reality startup. Ubiquity6 has built a mobile app that enables augmented reality (AR) for several people at once. Users see and interact with objects presented by the fully dimensioned visual world of the Ubiquity app, immersing themselves in a creative or educational environment.
97. Facebook
While Facebook is certainly better known in other areas as one of the largest social media networks in the world, the company is making great strides in its AI capabilities, especially in self-teaching for its news feed algorithms. Most significantly, the Facebook team has started using AI to screen for hate speech, fake news, and potentially illegal actions across posts on the site.
98. Tencent
One of the largest social media companies to come out of China, Tencent has an advanced AI lab that develops tools to process information across its ecosystem, including NLP, news aggregators, and facial recognition. They also have one of China’s top video streaming platforms, Tencent Music. A giant in the field, they fund several AI efforts.
99. SoundHound
SoundHound started as a Shazam-like song recognition app called Midomi, but it has expanded to answering complex voice prompts like Siri. Instead of converting language into text like most virtual assistants, the app’s AI combines voice recognition and language understanding in a single step.
100. AIBrain
AIBrain is an artificial intelligence company that builds AI solutions for smartphones and robotics applications. Its products include AICoRE, the AI agent, iRSP, an intelligent robot software platform, and Futurable, a future simulation AI game where every character is a fully autonomous AI. The focus of their work is to develop artificial intelligence infused with the human skill sets of problem solving, learning, and memory.
To learn more about AI in entertainment
Bottom Line: Top AI Companies Continue to Expand AI’s Capabilities
Entire industries are being reshaped by AI. For example, RPA companies are working to completely advance their software with machine learning and AI to improve their automation capabilities. AI in healthcare is changing patient care in major ways, such as using AI to increase the scale and efficiency of medical imaging to analyze and diagnose patients.
Companies in various industries are increasing their interest and investment in AI, hoping to propel internal operations and customer experiences forward by using machine learning and in some cases, deep learning to apply big data to enhance products, create new products, and solve everyday business use cases.
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