150 Top AI Companies (2024): Visionaries Driving the AI Revolution

Artificial intelligence companies are riding a hyper-accelerated growth curve. Like the crack of a starting gun, the November 2022 launch of ChatGPT awakened the world to the vast potential of AI—particularly generative AI. As more companies invest in machine learning, automation, robotics, and AI-based data analytics solutions, the AI algorithm has quickly become the foundational technology of business.
This list of AI companies chronicles this growth by reflecting the dynamic shifts disrupting the tech industry. It covers the full ecosystem of AI vendors: new generative AI companies, entrenched giants, AI purveyors across verticals, and upstart visionaries. There’s no telling which will most influence AI’s future, but we believe that the players on this list as a whole will profoundly reshape technology and, as a direct result, the arts, retail, and the entirety of culture.



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TABLE OF CONTENTS
ToggleAI GiantsAI PioneersAI VisionariesGenerative AI CompaniesAI Enterprise MajorsAI Robotic Process Automation CompaniesConversational AI CompaniesHealthcare AI CompaniesFinancial Services AI CompaniesEducation AI CompaniesCybersecurity AI CompaniesRetail AI CompaniesAI Industry OrganizationsBottom Line: AI Companies

AI Giants
It’s no coincidence that this top AI companies list is composed mostly of cloud providers. Artificial intelligence requires massive storage and compute power at the level provided by the top cloud platforms. These cloud leaders are offering a growing menu of AI solutions to existing clients, giving them an enormous competitive advantage in the battle for AI market share. The cloud leaders represented also have deep pockets, which is key to their success, as AI development is exceptionally expensive.

Microsoft
Enterprise leader in AI

Market Cap: $3.1 Trillion
Headquarters: Redmond, WA
Founded: 1975
Annual Revenue: $198.3 Billion

As a dominant provider of enterprise solutions and a cloud leader—its Azure Cloud is second only to AWS—Microsoft has invested heavily in AI, with plenty to show for it. For example, it has significantly expanded its relationship with OpenAI, the creator of ChatGPT, leading to the development of intelligent AI copilots and other generative AI technologies that are embedded or otherwise integrated with Microsoft’s products. Leveraging its massive supercomputing platform, its goal is to enable customers to build out AI applications on a global scale. With its existing infrastructure and partnerships, current trajectory, and penchant for innovation, it’s likely that Microsoft will be the leading provider of AI solutions to the enterprise in the long run.

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Amazon Web Services (AWS)
Top-tier managed services for cloud and AI
As the top dog in the all-important world of cloud computing, few companies are better positioned than AWS to provide AI services and machine learning to a massive customer base. In true AWS fashion, its profusion of new tools is endless and intensely focused on making AI accessible to enterprise buyers. AWS’s long list of AI services includes quality control, machine learning, chatbots, automated speech recognition, and online fraud detection. It is one of the best providers of innovative AI managed services.

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To learn about new direction in generative AI, see the eWeek video: AWS VP Bratin Saha on the Bedrock Generative AI Tools.

Google
Leading generative AI for technical and non-technical audiences
As the most successful search giant of all time, Google’s historic strength is in algorithms, which is the very foundation of AI. Though Google Cloud is perennially a distant third in the cloud market, its platform is a natural conduit to offer AI services to customers. The Gemini ecosystem has proven especially popular and innovative, combining access to generative AI infrastructure, developer tools, and a user-friendly natural language interface. The company is also heavily focused on responsible AI and communicating how it is working toward an ethical AI approach.

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IBM
Founder of Watson and watsonx AI solutions
A top hybrid and multicloud vendor, boosted by its acquisition of Red Hat in 2019, IBM’s deep-pocketed global customer base has the resources to invest heavily in AI. IBM has an extensive AI portfolio, highlighted by the Watson platform, with strengths in conversational AI, machine learning, and automation. The company invests deeply in R&D and has a treasure trove of patents; its AI alliance with MIT will also likely fuel unique advances in the future.

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Nvidia
Leading provider of GPUs and other AI infrastructure
All roads lead to Nvidia as AI—especially generative AI and larger models—grows ever more important. At the center of Nvidia’s strength is the company’s wicked-fast GPUs, which provide the power and speed for compute-intensive AI applications. Additionally, Nvidia offers a full suite of software solutions, from generative AI to AI training to AI cybersecurity. It also has a network of partnerships with large businesses to develop AI and frequently funds AI startups.

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For an in-depth look a how generative AI and advanced hardware are changing security, see the eWeek video: Nvidia CSO David Reber on AI and Cybersecurity.

Meta
Embedded AI assistance in social media apps
Meta—the parent company of Facebook, Instagram, and many other popular platforms—has had a slightly slower start on generative AI than some of the other tech giants, but it has nonetheless blazed through to create some of the most ubiquitous and innovative solutions on the market today. Meta’s Llama 3, for example, is one of the largest and easiest to access LLMs on the market today, as it is open source and available for research and commercial use. The company is also very transparent with its own AI research and resources. Most recently, Meta has developed Meta AI, an intelligent assistant that can operate in the background of Facebook, Messenger, Instagram, and WhatsApp.

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Baidu
Chinese innovator in AI and quantum computing
Little known in the U.S., Baidu owns the majority of the internet search market in China. The company’s AI platform, Baidu Brain, processes text and images and builds user profiles. With the most recent generation, Baidu Brain 6.0, quantum computing capabilities have also expanded significantly. It has also launched its own ChatGPT-like tool, a generative AI chatbot called Ernie Bot.

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Oracle
Leader in cloud-based AI support 
Oracle’s cloud platform has leapt forward over the past few years—it’s now one of the top cloud vendors—and its cloud strength will be a major conduit for AI services to come. To bulk up its AI credentials, Oracle has partnered with Nvidia to boost enterprise AI adoption. The company stresses its machine learning and automation offerings and also sells a menu of prebuilt models to enable faster AI deployment.

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To find out how a cloud leader is facing the challenges of today’s IT sector, see the eWeek video: Oracle Cloud’s Leo Leung on Cloud Challenges and Solutions.

Alibaba
Cloud leader and innovator in APAC region
Alibaba, a Chinese e-commerce giant and leader in Asian cloud computing, split into six divisions, each empowered to raise capital. Of particular note is the Alibaba Cloud Intelligence group, which handles cloud and AI innovations and products. While Alibaba has been greatly hampered by government crackdowns, observers see the Cloud Intelligence group as a major support of AI development. The company is also working to optimize a ChatGPT-like tool.

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For more information about today’s leading generative AI software, see our guide: Top 20 Generative AI Tools & Applications.
AI Pioneers
Think of these AI companies as the forward-looking cohort that is inventing and supporting the systems that propel AI forward. It’s a mixed bunch with diverse approaches to AI, some more directly focused on AI tools than others. Note that most of these pioneer companies were founded between 2009 and 2013, long before the ChatGPT hype cycle.
These companies are at the center of a debate about who will have the most control over the future of AI. Will it be these agile and innovative pioneers, or the giant cloud vendors that have the deep infrastructure that AI needs and can sell their AI tools to an already-captive customer base?

OpenAI
Founder of ChatGPT
The world was forever changed when OpenAI debuted ChatGPT in November 2022—a major milestone in the history of artificial intelligence. Founded in 2015 with $1 billion in seed funding, San Francisco-based OpenAI benefits from a cloud partnership with Microsoft, which has invested a rumored $13 billion in OpenAI. Not content to rest on its success, OpenAI has launched GPT-4, a larger multimodal version of its successful LLM foundation model, and continues to innovate in areas like text-to-video generation. The company also offers DALL-E, which creates artistic images from user text prompts.

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C3.ai
Industry-focused AI solutions and services
Founded in 2009, C3.ai is part of a new breed of vendors that can be called an “AI vendor”: not a legacy tech company that has shifted into AI but a company created specifically to sell AI solutions to the enterprise. The company offers a long menu of turnkey AI solutions so companies can deploy AI without the complexity of building it themselves. Clients include the U.S. Air Force, which uses AI to predict system failure, and Shell, which uses C3.ai to monitor equipment across its sprawling infrastructure.

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For in-depth comparison of C3.ai and a major competitor, see our guide: C3.ai vs. DataRobot: Top Cloud AI Platforms.

H2O.ai
Solutions provider for generative and predictive AI
Founded in 2011, H2O.ai is another company built from the ground up with the mission of providing AI software to the enterprise. H2O focuses on “democratizing AI.” This means that while AI has traditionally been available only to a few, H2O works to make AI practical for companies without major in-house AI expertise. With solutions for AI middleware, AI in-app stores, and AI applications, the company claims thousands of customers for its H2O Cloud.

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To learn how computers can “see” the world around them, watch our eWeek video: H2O.ai’s Prashant Natarajan on AI and Computer Vision.

DataRobot
Cloud-agnostic AI and data solutions
Founded in 2012, DataRobot offers an AI Cloud that’s “cloud-agnostic,” so it works with all the cloud leaders (AWS, Azure, and Google, for example). It’s built with a multicloud architecture that offers a single platform accessible to all manner of data professionals. Its value is that it provides data pros with deep AI support to analyze data, which supercharges data analysis and processing. Among its outcomes is faster and more flexible machine learning model creation.

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For in-depth comparison of DataRobot and a major competitor, read DataRobot vs. H2O.ai: Top Cloud AI Platforms.

Snowflake
Next-gen data warehouse and AI data cloud vendor
Founded in 2012, Snowflake is a next-gen data warehouse vendor. Artificial intelligence requires oceanic amounts of data, properly prepped, shaped, and processed, and supporting this level of data crunching is one of Snowflake’s strengths. Operating across AWS, Microsoft Azure, and Google Cloud, Snowflake’s AI Data Cloud aims to eliminate data silos for optimized data gathering and processing.

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For an expert take on how today’s IT platforms are enabling wider data access, see the eWeek video: Snowflake’s Torsten Grabs on AI and Democratizing Data.

Dataiku
Low-code/no-code AI/ML model development platform
Founded in 2013, Dataiku is a vendor with an AI and machine learning platform that aims to democratize tech by enabling both data professionals and business professionals to create data models. Using shareable dashboards and built-in algorithms, Dataiku users can spin up machine learning or deep learning models; most helpfully, it allows users to create models without writing code.

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Altair (RapidMiner)
End-to-end data analytics and AI workflows
Since RapidMiner was acquired by Altair in 2022, the vendor has continued to grow and improve its no-code AI app-building features, which allow non-technical users to create applications without writing software. The company also offers a no-code MLOps solution that uses a containerized approach. As a sign of the times, users can build models using a visual, code-based, or automated approach, depending on their preference.

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Domino Data Lab
Unified AI orchestration solution provider
Founded in 2013, Domino Data Lab offers both comprehensive AIOps and MLOps (machine learning operations) solutions through its platform technology. With its enterprise AI platform, users can easily manage their data, software, apps, APIs, and other infrastructural elements in a unified ecosystem. Users have the option to work with hybrid or multicloud orchestration, and they can also choose between a SaaS or self-managed approach. Domino Data Lab has partnered with Nvidia to provide a faster development environment, so expect more innovation from them soon.

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To learn how today’s software developers are finding ways to work faster, see the eWeek video: Domino Data Lab’s Jack Parmer on “Code First” Data Science.

Databricks
AI-optimized data lakehouses and infrastructure
Founded in 2013, Databricks offers an enterprise data intelligence platform that supports the flexible data processing needed to create successful AI and ML deployments; think of this data solution as the crucial building block of artificial intelligence. Through its innovative data storage and management technology, Databricks ingests and preps data from myriad sources. Its data management and data governance tools work with all major cloud players. The company is best known for its integration of the data warehouse (where the data is processed) and the data lake (where the data is stored) into a data lakehouse format.

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Interested in the relationship between AI and Data? See the eWeek video: Databricks’s Chris D’Agostino on AI and Data Management.

Adobe
AI solutions for graphic designers and creatives
Adobe is a SaaS company that primarily offers marketing and creative tools to its users. The company has begun to enhance all of these products with AI solutions, including Adobe Firefly, a robust generative AI tool and assistant that helps users personalize marketing assets, edit visual assets for better quality, and generally create creative content at scale across different Adobe suite products. In late 2023, Adobe expanded its AI capabilities through its acquisition of Rephrase.ai, a text-to-video studio solution.

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Alteryx
Drag-and-drop approach to data and AI modeling
A prime example of a mega theme driving AI, Alteryx’s goal is to make AI models easier to build. The goal is to abstract the complexity and coding involved with deploying artificial intelligence. The platform enables users to connect data sources to automated modeling tools through a drag-and-drop interface, allowing data professionals to create new models more efficiently. Users grab data from data warehouses, cloud applications, and spreadsheets, all in a visualized data environment. Alteryx was founded in 1997.

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Learn about the major trend toward enabling wider access to data by watching the eWeek video: Alteryx’s Suresh Vittal on the Democratization of Data Analytics.

Inflection AI
A conversational approach to generative content
Inflection AI labels itself as an AI studio that is looking to create advanced applied AI that can be used for more challenging use casesWhile it has hinted at other projects in the works, its primary product right now is Pi, a conversational AI that is designed to take a personalized approach to casual conversations. Pi can be accessed through pi.ai as well as iOS and Android apps. The company was founded by many former leaders from DeepMind, Google, OpenAI, Microsoft, and Meta, though several of these leaders have since left to work in the new Microsoft AI division of Microsoft. It’s truly up in the air how this change will impact the company and Pi, though they expect to release an API in the near future.

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Scale AI
Leading provider of AI for public sector use cases
Scale is an AI company that covers a lot of ground with its products and solutions, giving users the tools to build, scale, and customize AI models—including generative AI models—for various use cases. The Scale Data Engine simplifies the process of collecting, preparing, and testing data before AI model development and deployment, while the Scale Generative AI Platform and Scale custom LLMs give users the ability to fine-tune generative AI to their specifications. Scale is also a leading provider of AI solutions for federal, defense, and public sector use cases in the government.

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Arista Networks
Leader in AI networking solutions
Arista Networks is a longstanding cloud computing and networking company that has quickly advanced its infrastructure and tooling to accommodate high-volume and high-frequency AI traffic. More specifically, the company has worked on its GPU and storage connections and sophisticated network operating software. Tools like the Arista Networks 7800 AI Spine and the Arista Extensible Operating System (EOS) are leading the way when it comes to giving users the self-service capabilities to manage AI traffic and network performance.

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Cloudera
Hybrid, cloud-agnostic data platform
Having merged with former competitor Hortonworks, Cloudera now offers the Cloudera Data Platform and the Cloudera Machine Learning solution to help data pros collaborate in a unified platform that supports AI development. The ML solutions are specifically designed to perform data prep and predictive reporting. As an example of emerging trends, Cloudera provides “portable cloud-native data analytics.” Cloudera was founded in 2008.

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For an inside view of where data leader Cloudera is headed, see the eWeek video: Cloudera’s Ram Venkatesh on the Cloudera Roadmap.

Accubits
Leader in blockchain, Web3, and metaverse technologies
Accubits is a blockchain, Web3, and metaverse tech solutions provider that has expanded its services and projects into artificial intelligence as well. The company primarily works to support other companies in their digital transformation efforts, offering everything from technology consulting to hands-on product and AI development. The company’s main AI services include support for AI product and model development, consulting for generative AI projects, solution architecting, and automation solutions.

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AI Visionaries
If the AI pioneers are a mixed bag, this group of AI visionaries is heading off in an even wider array of directions. These AI startups are closer to the edge, building a new vision even as they imagine it—they’re inventing the generative AI landscape in real time, in many cases. More than any technology before, there’s no roadmap for the growth of AI, yet these generative AI startups are proceeding at full speed.

Anthropic
Generative AI leader committed to constitutional AI
Founded by two former senior members of OpenAI, Anthropic’s generative AI chatbot, Claude 3, provides detailed written answers to user questions; with this most recent generation, certain aspects of multimodality have been introduced while other components of the platform have been improved. In essence, it’s another tool that operates like ChatGPT, but with a twist: Anthropic publicly proclaims its focus on Constitutional AI, a methodology it has developed for consistent safety, transparency, and ethicality in its models.

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Glean
Leader in generative enterprise search technology
Considered one of the unicorns of the emerging generative AI scene, Glean provides AI-powered search that primarily focuses on workplace and enterprise knowledge bases. With its Workplace Search, Assistant, Knowledge Management, Work Hub, and Connectors features, business leaders can set up a self-service learning and resource management tool for employees to find important documentation and information across business applications and corporate initiatives.

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Adept
Commitment to general intelligence AI assistants
Currently, generative AI platforms like DALL-E and GPT-4 create images or text in response to user text prompts. Adept is building the next step: It’s creating a full-fledged digital assistant—“an AI teammate for everyone”—that will execute a series of complex commands based on text prompts, even for developer tasks. As an example of how Adept works, if you type in the prompt, “convert this client into a sales opportunity,” the Adept digital assistant performs various actions to complete the sale. Ideally, Adept’s platform will be able to use any API, software app, or website just as a human would. Though Adept is a fledgling—founded in 2022—it has attracted massive funding.

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Synthesia
Generative AI video platform with AI avatars
Is the person in this video real or virtual? Synthesia uses AI to create video avatars who speak and present as if they’re human. The AI company offers more than 150 stock AI avatars to allow users to create a virtual talking head using text prompts. To add realism, the avatars can be customized with facial gestures like raised eyebrows, head nods, and local languages and dialects.

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To learn about the future of video and AI, see the eWeek video: Synthesia CEO Victor Riparbelli on AI and Video Avatars.

Ironclad
AI for contract lifecycle management
Ironclad is a contract lifecycle management vendor that uses AI to manage contract data, contract creation, analytics, and more. Its contract review process is thorough and customizable, offering users AI-driven suggestions for how to improve existing contracts based on both best practices and the AI playbooks users upload themselves; the platform also includes a comprehensive AI-powered editor and a repository that makes contracts editable in a Word-Document-like format. More recently, the vendor has come out with Ironclad Contract AI, an AI assistant that supports users with chat-driven solutions for additional contract tasks and queries.

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Cohere
Leading models with accessible AI playground
Founded in 2019 by an elite group of AI experts, most of whom were former researchers at Google Brain, Cohere’s goal is to enable more natural communication between humans and machines for generative AI, search, discovery, and retrieval tasks. The startup builds large language models for enterprise customers, accessible via an API, which is clearly a lucrative new niche. Funding has gushed in. Its top models are the Command, Rerank, and Embed models.

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Abacus.ai
AI technology used to build AI technology
Founded in 2019, Abacus creates pipelines between data sources—such as Google Cloud, Azure, and AWS—and then allows users to custom-build and monitor machine learning models. A unique aspect of this platform is that it also enables AI to build AI agents and systems rather than requiring hands-on human intervention. Abacus’s prebuilt AI technology can be used to build AI solutions like LLMs and can provide additional information about these models to improve explainability.

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Gong
AI-powered revenue, service, and sales intelligence
Gong is a fast-growing provider of customer service, sales, and marketing solutions that focus on revenue and engagement intelligence and analytics. AI is infused throughout the platform and is used to provide contextual information and recommendations for customer interactions, as well as coaching for internal team members. The vendor also offers its smart trackers tool, which gives users the ability to train Gong’s AI to more granularly detect certain types of customer interactions and red-flag behaviors.

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Runway
Text-to-video and video-to-video content generation platform
The three founders of Runway met in art school, where they were immersed in digital design software. Their generative AI platform, which is browser-based and requires no plugins, creates images and videos from text prompts. Think of it as a filmmaker’s dream: If you can imagine it, the Runway platform will help you create it. Runway already has a major production credit for the film Everything Everywhere All At Once, which won Best Picture in the 2023 Academy Awards. Its most recent models and developments have earned high praise for their realism and controllability.

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Openstream.ai
Highly configurable conversational AI
Openstream.ai is a player in the rapidly growing conversational AI market. Openstream.ai’s Eva platform leverages sophisticated knowledge graphs that use both structured and unstructured data, enabling it to work across multiple channels, including social media platforms. Openstream.ai uses this AI architecture to power natural language understanding (NLU), which involves impressive levels of reading comprehension. The vendor also develops copilots, help des and contact center agents, and other customer service solutions with its conversational AI approach.

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Samsara
AI-powered driving assistance and analytics
Samsara is an IoT company that has brought forth several innovative technologies over the years, but more recently, it has expanded into AI for driver and road safety. The company’s built-in AI and advanced edge computing for vehicles give drivers and/or fleet managers real-time insights into road conditions and driving performance, as well as coaching workflows and in-cab driver assistance. AI dash cams are built into vehicles and designed to send footage directly to the cloud, so fleet managers and business owners can review driver and vehicle issues in a timely manner.

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Moveworks
AI for IT and support workflows
Moveworks is an AI company that focuses on creating generative AI and automated solutions for business operations and employee and IT support. The platform is filled with AI-powered features, including AI workflows, analytics, knowledge management, and ticket and task automation. The company is also leading the way with copilot assistive AI technology, giving users access to tools like MoveLM, an LLM that’s dedicated to employee support queries and tasks.

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Synthesis AI
AI for multiple computer vision scenarios
Synthesis AI is a generative AI and synthetic data company that focuses on creating data and models for computer vision use cases. The platform can be used for a variety of use cases spanning across industries, including AR/VR/XR, virtual try-on, teleconferencing, driver and pedestrian monitoring, and security. It can also be used in biometrics and security, specifically for ID verification and threat detection.

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Insitro
Multidisciplinary, AI-powered approach to drug discovery
Founded by a former professor of machine learning at Stanford, Insitro’s goal is to improve the drug discovery process using AI to analyze patterns in human biology. Drug discovery is enormously expensive, and it’s typically met with low success rates, so AI’s assistance is greatly needed. Driving this development is the company’s mixed team of experts, including data scientists, bioengineers, and drug researchers.

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Eightfold AI
AI solution for recruiters and talent management
Eightfold AI is a vendor that uses AI-powered technology to make recruitment, onboarding, retention, and other organizational talent management tasks easier to manage at scale. Users can work with the vendor’s all-encompassing Talent Intelligence Platform, which includes features not only for talent acquisition and talent management but also for resource management. Its automations and smart analytics help users to comb through larger quantities of applicants at a quicker pace while ensuring they identify top talent and new talent pipelines with minimal bias.

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InVideo
Customizable AI videos for social media
InVideo is an AI video company that focuses on automating script, scene, voiceover, and overall video production. The platform is frequently used for digital marketing and content marketing projects, allowing users to transform blogs and other text prompts into YouTube, talking avatar, Instagram, and other types of engaging video content. Users can customize the content the platform generates by inputting target audience, platform, and other customization instructions.