What AI Companies Are Publicly Traded: A Comprehensive List

If you're interested in investing in AI companies, you'll want to know which ones are publicly traded. Let's take a look at some of the notable ones.

Alphabet, the parent company of Google, is publicly traded on the NASDAQ stock exchange under the ticker symbol GOOGL.

Several AI-focused companies are listed on the NASDAQ, including NVIDIA, which has a market capitalization of over $500 billion.

Publicly traded AI companies are leading the charge in the industry, with some of the biggest names in tech. NVIDIA (NVDA) is a manufacturer of graphics-processor technologies with a growing deep learning AI division, and its GPUs have become the de facto standard in data centers worldwide.

NVIDIA's data center business now makes up the vast majority of the company's revenue, thanks to the emergence of generative AI. The company's revenue surged through 2023 and 2024, and the stock has soared as well.

Here are some publicly traded AI companies to watch:

Palantir Technologies (PLTR) is another publicly traded AI company that has seen significant growth, with a 30% year-over-year increase in revenue to $726 million in its fiscal third quarter. The company's customer count grew by 39% during the same period.

AbCellera Biologics Inc (Abcl) is a US-based biotech company that develops antibody therapeutics using AI. Founded in 2012, AbCellera went public in December 2020 with a record-setting $555.5M IPO.

AbCellera focuses on searching and analyzing the immune system to find potential antibodies. They then outsource their initial findings to partners for further drug discovery.

The company owns sequencing technologies with functional data from single B-cells, which enables researchers to increase the number of antibody candidates. This technology helps AbCellera to uncover relevant antibody properties.

AbCellera offers customized single-cell assays, which generate significant amounts of multimodal and multidimensional data. They handle this data with their proprietary antibody visualization software Celium.

After selecting the most promising leads, computational protein engineering can be used to optimize antibodies while also considering the natural antibodies' diversity.

BenevolentAI (AMS: BAI) is a clinical-stage company founded in 2013 that went public in 2021 via a SPAC deal with Odyssey, valuing the British-based pharmaceuticals firm at up to 1.5 billion euros.

BenevolentAI has a leading drug candidate in Phase 2 clinical trials, aiming to treat atopic dermatitis, and other drug candidates for chronic diseases like ulcerative colitis, cancer (glioblastoma multiforme), and more.

The company has an established partnership with AstraZeneca to develop drugs for fibrosis and chronic kidney disease. In 2020, BenevolentAI helped re-discover baricitinib as a potential COVID-19 treatment using their Knowledge Graph platform for drug repurposing.

The Benevolent Platform is a computational tool that utilizes predictive AI algorithms to analyze and extract insights from data and scientific literature. BenevolentAI's Knowledge Graph assists with managing biomedical data, and additional machine learning models help identify molecular targets and predict molecular interactions with potential drugs.

Here are some key areas where BenevolentAI is making an impact:

BioXcel Therapeutics Inc (BTAI) is a US-based biopharmaceutical company founded in 2017.

BioXcel focuses on drug development that utilizes artificial intelligence to identify drug candidates across neuroscience and immuno-oncology.

They went public in 2018 and raised $55.8 million.

Their approach leverages existing approved drugs and/or clinically evaluated product candidates together with big data and machine learning algorithms to identify new therapeutic applications.

BioXcel has an FDA-approved medicine for the acute treatment of agitation associated with schizophrenia or bipolar disorder in adults.

This drug was previously used in intravenous form for anesthesia, which BioXcel packed into sublingual films for a new indication.

Their pipeline includes clinical studies for combining small-molecule cancer drugs with an antibody, pembrolizumab, for specific cancer cases.

BioXcel's use of AI in drug development is a prime example of how this technology can be applied to improve patient outcomes.

QuickLogic Corporation is a pioneer in creating semiconductors for mobile and portable electronics. They use AI for cognitive sensing in various technologies, including IoT devices and drones.

Their QuickAI platform helps IoT devices gain knowledge of their surroundings and assists inspection machines with identifying different textures. It also aids surfaces and appliances in predicting maintenance needs.

QuickLogic's expertise in AI and semiconductors has made them a key player in the industry.

Arm Holdings is a major player in the AI space, going public in September 2023.

Its unique business model involves designing chip components and licensing those designs to partners like Nvidia and cloud infrastructure hyperscalers.

Arm's chips are known for their power-efficient architecture, making them a top choice for AI applications like ChatGPT.

The company has a significant advantage in the AI race due to its power-efficient design, which helps minimize energy consumption.

Arm's competitive advantage in power efficiency is a major reason for its success, especially compared to the X86 architecture favored by Intel and AMD.

Arm's launch of Arm Compute Subsystems (CSS) is a strategic move to help customers take chip designs to market faster and target specific end users.

iRhythm Technologies is a leader in wearable devices that detect and diagnose irregular heart rhythms. The company's Zio monitor is a small, comfortable device that uses a powerful AI system to detect 13 types of arrhythmia classes.

This AI system is based on a sophisticated deep neural network with 34 layers, trained on over 5 million patient records and more than 1 billion hours of curated heart-beat data. The Zio by iRhythm has the only FDA-cleared deep learned algorithm in this space.

The company's AI has been clinically proven to be as accurate as expert cardiologists in classifying and characterizing diverse heart rhythms, including atrial fibrillation or AFib. The Zio by iRhythm utilizes AI for classifying and characterizing diverse heart rhythms.

iRhythm Technologies has had operational issues in the past, but it appears to be turning a corner. The company reported an 18% year-over-year increase in revenue to $147.5 million in its latest quarter.

Palantir Technologies is a company that's been making waves in the AI space.

Peter Thiel, the cofounder and CEO, implemented sophisticated analytics and AI to mitigate fraud on PayPal, which eventually sold to eBay for $1.5 billion in 2002.

Thiel took part of the fortune from PayPal and created Palantir Technologies, which has since diversified into commercial markets like healthcare, energy, and manufacturing.

The company's operating system, Foundry, helps organizations manage their data and create, deploy, and manage AI models.

Tyson Foods, a customer of Palantir, realized $200 million in annualized savings over a 24-month period.

In its fiscal third quarter, Palantir reported a 30% year-over-year increase in revenue to $726 million.

Snowflake is a next-generation database solution that stands out from the pack. Its founders, who came from companies like Oracle, understood the limitations of legacy database technology and started from scratch to create a cloud-based database that can easily scale workloads.

Spinning up a Snowflake database takes only a few minutes, making it easy for users to get started. This is a significant improvement over traditional databases, which often required a lot of time and effort to set up.

Snowflake has become an effective tool for AI projects, and its technology has driven strong growth. In its latest quarter, Snowflake reported 29% year-over-year revenue growth to $900.3 million.

The company has a strong governance and security infrastructure in place, which is essential for managing complex AI projects. This infrastructure has helped Snowflake achieve a net revenue retention rate of 127%.

Snowflake now has 542 customers with trailing 12-month product revenue greater than $1 million, and 754 of its customers are members of the Forbes Global 2000.

Publicly traded AI companies offer a unique opportunity for investors to be a part of the latest AI-based innovations.

NVIDIA (NVDA) is one such company that's making waves in the AI industry. IBM (IBM) is another giant in the field, with a long history of innovation.

Google (GOOG) and Microsoft (MSFT) are also publicly traded AI companies that are pushing the boundaries of what's possible with AI. TSMC (TSM) is a lesser-known player, but it's making a big impact in the industry.

Here are some publicly traded AI companies to watch:

These companies are leading the charge in the AI industry, and investors are taking notice. The global AI industry is expected to exceed $826 billion by 2030, making it a lucrative market for investors.

Machine Learning and AI Stocks are all around us, and some of them are publicly traded.

Palantir is one of the top-performing AI stocks, providing cloud software and specializing in data fusion.

Tesla is another notable example, where CEO Elon Musk sees AI as the future of the company, with machine learning and neural networks at the center of its autonomous vehicle and Optimus autonomous robot projects.

Nvidia's GPU chips use deep learning to power data centers and enable autonomous driving and cloud computing.

Alphabet has exposure to deep learning through its autonomous vehicle start-up, Waymo, and owns DeepMind, a deep learning platform that can diagnose eye diseases and predict protein shapes.

Here are two other AI stocks worth considering:

If you're looking to invest in AI stocks, there are several publicly traded companies to consider. Palantir, for example, has been a top-performing AI stock, providing cloud software that specializes in data fusion.

Palantir's AI Platform (AIP) has helped accelerate its growth. It deploys machine-learning models on top of data foundations and continuously improves them to ensure they become more useful.

Tesla is another notable company, with CEO Elon Musk seeing AI as the future of the company. Machine learning and neural networks are at the center of Tesla's autonomous vehicle and Optimus autonomous robot projects.

Here are some publicly traded AI stocks and ETFs to consider:

Nvidia is also closely associated with deep learning, using its GPU chips to power data centers and enable autonomous driving and cloud computing. Alphabet has exposure to deep learning through its businesses, including Waymo and DeepMind.

Publicly traded AI companies offer a unique opportunity for investors to get in on the ground floor of the latest innovations. The global AI industry is expected to exceed $826 billion by 2030, making it a trend to watch in the coming years.

Some notable publicly traded AI companies include NVIDIA, IBM, Google, Microsoft, and TSMC. These companies have already made significant strides in AI development and are poised for continued growth.

Publicly traded AI companies must share financial information with the Securities and Exchange Commission (SEC), creating more transparency for investors. This transparency allows investors to make informed decisions about where to place their resources.

Here are some publicly traded AI companies to consider: