Top AI Companies in 2025: Visionaries Driving the AI Revolution

This list of AI companies reflects the rapid growth and the shifts reshaping the tech industry. I’ve grouped the companies by type — generative AI pioneers, established tech giants, sector-specific specialists, and ambitious newcomers. It’s hard to say which of them will shape the future most, but together, they’re set to redefine technology — and with it, the way we create, shop, and experience culture.





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

The immense storage and compute power of leading cloud platforms are required for artificial intelligence advancement, which is why cloud providers dominate this top AI companies list. These cloud leaders have a significant competitive advantage in the artificial intelligence market share because they can offer their existing clients a growing selection of AI solutions. Their substantial financial resources are important for success in the capital-intensive field of AI development.

Alibaba

Cloud leader and innovator in APAC region

Headquarters: Hangzhou, China

Founded: 1999

Annual revenue: $198.3 billion

Alibaba, a leading e-commerce company in China and a major player in Asian cloud computing, has restructured into six independent divisions, each with the ability to raise its own 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, analysts see the Cloud Intelligence group as a major driver of AI development. The company also offers an AI chatbot and LLM called Qwen that competes with ChatGPT.

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For more information about today’s leading generative AI software, see our guide: Top 20 Generative AI Tools & Applications.

Amazon Web Services (AWS)

Top-tier managed services for cloud and AI

Headquarters: Seattle, Washington, United States

Founded: 2006

Annual revenue: $107.6 billion

As the top dog in the cloud computing sector, few companies are better positioned than AWS to provide AI services and machine learning to a massive customer base. True to AWS’s approach, its ever-expanding suite of tools is relentlessly focused on making AI more 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 directions in generative AI, see the eWeek video: AWS VP Bratin Saha on the Bedrock Generative AI Tools.

Baidu

Chinese innovator in AI and quantum computing

Headquarters: Beijing, China

Founded: 2000

Annual revenue: $4.68 billion

Chinese technology company Baidu was initially a search engine platform. The organization began heavily investing in AI around 2010. Since then, it has developed a full-stack AI ecosystem, including software, chips, cloud infrastructure, and applications. 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 a generative AI chatbot called ERNIE.

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Google

Leading generative AI for technical and non-technical audiences

Headquarters: Mountain View, California, United States

Founded: 1998

Annual revenue: $350 billion

Google, one of the most prominent AI companies, uses its expertise in algorithms to provide AI services through the Google Cloud platform. The Gemini ecosystem offers a comprehensive suite of generative AI tools, including infrastructure, developer tools, and a user-friendly natural language interface. Google also prioritizes responsible AI practices and maintains transparent communication about its ethical AI approach.

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IBM

Founder of Watson and watsonx AI solutions

Headquarters: Armonk, New York, United States

Founded: 1911

Annual revenue: $62.8 billion

A top hybrid and multicloud AI company, 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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Meta

Embedded AI assistance in social media apps

Headquarters: Menlo Park, California, United States

Founded: 2004

Annual revenue: $164.5 billion

Meta — the parent company of Facebook, Instagram, and other popular social media 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 model integrates AI into daily digital interactions, offering conversational assistance and image generation. By embedding AI into its ecosystem, Meta aims to build more personalized and immersive experiences.

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Microsoft

Enterprise leader in AI

Headquarters: Redmond, Washington, United States

Founded: 1975

Annual revenue: $245 billion

As a pioneering force in the AI industry, Microsoft focuses on democratizing AI to enhance productivity and solve societal challenges. This global giant invests heavily in AI infrastructure and supercomputing capabilities to support large-scale AI applications. 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. 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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Nvidia

Leading provider of GPUs and other AI infrastructure

Headquarters: Santa Clara, California, United States

Founded: 1993

Annual revenue: $60.9 billion

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 at how generative AI and advanced hardware are changing security, see the eWeek video: NVIDIA CSO David Reber on AI and Cybersecurity.

Oracle

Leader in cloud-based AI support 

Headquarters: Austin, Texas, United States

Founded: 1977

Annual revenue: $53 billion

Oracle’s cloud platform has leaped 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. Oracle is also committed to workforce development, planning to train and certify 350,000 professionals in key Middle Eastern countries to support the growing demand for its cloud services. This initiative aims to create a local pool of certified experts who can drive the adoption of Oracle’s advanced technologies.

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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.

AI Pioneers

Think of these AI companies as the forward-looking group building the systems that drive AI progress. They take varied approaches — some focus squarely on AI tools, others support the broader ecosystem. While their strategies differ, they’re now central to a larger question: Will the future of AI be shaped by these agile pioneers, or by the massive cloud vendors with the infrastructure and built-in customer base to dominate the space?

Accubits

Leader in blockchain, Web3, and metaverse technologies

Headquarters: Virginia, USA

Founded: 2012

Annual revenue: $6.4 Million

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. In late 2024, Response Informatics Limited agreed to purchase a 95% stake in Accubits for approximately $593,000. This acquisition aims to diversify Response Informatics’ revenue streams and enhance its capabilities in the AI and blockchain sectors.

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Adobe

AI solutions for graphic designers and creatives

Headquarters: San Jose, California, United States

Founded: 1982

Annual revenue: $21.51 billion

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 early 2025, Adobe expanded its Firefly offerings with the launch of the Firefly Video Model, which allows users to generate IP-friendly video content from text prompts or images. This model is integrated into the new Firefly app, so users can generate images and videos while ensuring commercial safety for brands and creative professionals.

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Altair (RapidMiner)

End-to-end data analytics and AI workflows

Headquarters: Troy, Michigan, United States

Founded: 1985

Annual revenue: $192.6 million

A prime example of a mega theme driving AI, Alteryx’s goal is to make AI models easier to build. Following its acquisition by Clearlake Capital Group and Insight Partners in 2024, Alteryx has focused on enhancing its cloud-native tools and AI-driven insights. 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 visual data environment.

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Alteryx

Drag-and-drop approach to data and AI modeling

Headquarters: Irvine, California, United States

Founded: 1997

Annual revenue: $192.6 million

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.

Arista Networks

Leader in AI networking solutions

Headquarters: Santa Clara, California, United States

Founded: 2004

Annual revenue: $7 billion

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.  Arista has partnered with NVIDIA to deliver holistic AI solutions. The collaboration includes the introduction of the Arista EOS AI Agent, which integrates compute and network domains into a single managed entity, aimed at reducing job completion times for AI tasks.

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Cloudera

Hybrid, cloud-agnostic data platform

Headquarters: Santa Clara, California, United States

Founded: 2008

Annual revenue: $1 billion

Following its merger with former competitor Hortonworks, Cloudera now delivers the Cloudera Data Platform and Cloudera Machine Learning, providing data professionals with a unified environment for seamless collaboration and 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 acquired Verta’s operational AI platform and Octopai’s data lineage and catalog platform, furthering Cloudera’s capabilities in AI and data governance, contributing to a more robust service offering for customers.

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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.

C3.ai

Industry-focused AI solutions and services

Headquarters: Redwood City, California, United States

Founded: 2009

Annual revenue: $98.8 million

C3.ai is an AI 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. It has strengthened partnerships with Microsoft, AWS, and McKinsey QuantumBlack for deeper product integration, joint marketing, and streamlined access to advanced AI solutions. C2.ai serves clients like the U.S. Air Force, leveraging AI to predict system failures, and Shell, optimizing equipment monitoring across its vast infrastructure.

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

Databricks

AI-optimized data lakehouses and infrastructure

Headquarters: San Francisco, California, United States

Founded: 2013

Annual revenue: $3 billion

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 and the data lake into a data lakehouse format. In recent years, Databricks has strengthened its platform through strategic acquisitions, including Prodvana, Tabular, Lilac, and Einblick, which elevate its capabilities in cloud infrastructure, data management, real-time analytics, and collaborative visualizations.

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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.

Dataiku

Low-code/no-code AI/ML model development platform

Headquarters: New York, United States

Founded: 2013

Annual revenue: $300 million

Dataiku is a vendor with an AI and machine learning platform that aims to democratize tech by enabling both data and business professionals to create predictive 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. Dataiku now serves over 700 organizations globally, including major clients like Johnson & Johnson, Novo Nordisk, Perdue Farms, and Rolls Royce. Its strategic alliance with KPMG enhances offerings through expertise in cloud migration and AI governance.

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DataRobot

Cloud-agnostic AI and data solutions

Headquarters: Boston, Massachusetts, United States

Founded: 2012

Annual revenue: $285 million

DataRobot offers a cloud-agnostic AI Cloud that works with all the cloud leaders, including AWS, Azure, and Google. 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. In February 2025, DataRobot acquired Agnostiq, enhancing its capabilities in agentic AI application development and compute orchestration through Agnostiq’s open-source platform, Covalent.

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

Domino Data Lab

Unified AI orchestration solution provider

Headquarters: London, United Kingdom

Founded: 2013

Annual revenue: $61 million

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, and it has also launched the Statistical Computing Environment (SCE) Coalition to streamline clinical research and accelerate drug approvals through improved data workflows.

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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.

H2O.ai

Solutions provider for generative and predictive AI

Headquarters: Mountain View, California, United States

Founded: 2012

Annual revenue: $69.2 million

H2O.ai is a company built from the ground up with the mission of providing AI software to the enterprise, focusing on democratizing AI for companies without major in-house expertise. It specializes in delivering a complete suite of machine learning platforms, including H2O, Driverless AI, and H2O Wave, to streamline adopting and scaling AI solutions for enterprises. Recently, H2O.ai collaborated with Dell Technologies and NVIDIA to deliver a validated generative and predictive AI solution through the Dell AI Factory, while also introducing Agentic AI, which integrates generative and predictive capabilities for more efficient enterprise workflows.

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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.

Inflection AI

A conversational approach to generative content

Headquarters: Palo Alto, California, United States

Founded: 2022

Annual revenue: $3.8 million

Inflection AI is an AI studio focused on creating advanced applied AI for challenging use cases. The company is primarily known for Pi, a conversational AI designed for personalized casual conversations, accessible via pi.ai and mobile apps. Under CEO Sean White, Inflection AI shifted its focus towards enterprise solutions with Inflection for Enterprise. This platform enables businesses to deploy AI agents and integrate tools like data analytics and workplace communication enhancements. Its acquisitions of BoostKPI and Jelled.ai further strengthened its enterprise offerings, establishing Inflection AI as a leader in business-focused AI innovation.

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OpenAI

Founder of ChatGPT

Headquarters: San Francisco, California, United States

Founded: 2015

Annual revenue: $3.5 billion

The world was forever changed when OpenAI introduced 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 reported $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. 

In 2024, OpenAI acquired Rockset, a real-time analytics database company, to supercharge its data retrieval capabilities. It also acquired Multi, a video calling platform for remote teams, in an acquihire deal.

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Scale AI

Leading provider of AI for public sector use cases

Headquarters: San Francisco, California, United States

Founded: 2016

Annual revenue: $687.4 million

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. The company secured a landmark contract with the U.S. Department of Defense to integrate AI agents into military decision-making through the Thunderforge program, boosting operational capabilities within military workflows.

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Snowflake

Next-gen data warehouse and AI data cloud vendor

Headquarters: Bozeman, Montana, United States

Founded: 2012

Annual revenue: $2.67 billion

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. Snowflake has expanded its offerings through acquisitions such as Datavolo, a multimodal data pipeline platform, and the remaining stake in Samooha, a provider of data clean rooms. Snowflake also invested in startups to foster innovation within its ecosystem.

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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.

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 companies are proceeding at full speed.

Abacus.ai

AI technology used to build AI technology

Headquarters: San Francisco, California, United States

Founded: 2019

Annual revenue: $90.2 million

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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Adept

Commitment to general intelligence AI assistants

Headquarters: San Francisco, California, United States

Founded: 2022

Annual revenue: $11.1 million

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 is 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. Now focused entirely on agentic AI solutions, Adept aims to automate complex workflows for businesses, emphasizing reliability and usability. Additionally, the company has partnered with Amazon, which licenses its agent technology and multimodal models.

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Anthropic

Generative AI leader committed to constitutional AI

Headquarters: San Francisco, California, United States

Founded: 2021

Annual revenue: $1 billion

Founded by former senior members of OpenAI, Anthropic is an AI research and development company that focuses on creating safe and reliable artificial intelligence systems. The company is best known for its generative AI chatbot, Claude 3, which provides detailed written answers to user questions. This latest generation of Claude has introduced aspects of multimodality and improved various components of the platform. Anthropic emphasizes its commitment to Constitutional AI, a methodology designed to ensure consistent safety, transparency, and ethics in its models.

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Cohere

Leading models with accessible AI playground

Headquarters: Toronto, Ontario, Canada

Founded: 2019

Annual Revenue: $70 million

Cohere was founded by a group of elite AI experts, many of whom were former researchers at Google Brain. The AI company aims to enable more natural communication between humans and machines for generative AI, search, discovery, and retrieval tasks. Cohere builds large language models for enterprise customers, accessible via an API, which is clearly a lucrative new niche. Its top models are the Command, Rerank, and Embed models. Cohere has formed a strategic partnership with Fujitsu to develop enterprise AI solutions and secured federal support to build a multibillion-dollar AI data center in Canada.

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Eightfold AI

AI solution for recruiters and talent management

Headquarters: Mountain View, California, United States

Founded: 2016

Annual Revenue: $90.6 million

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 comb through larger quantities of applicants at a quicker pace while ensuring they identify top talent and new talent pipelines with minimal bias. Eightfold AI has partnered with various public sector entities, including the U.S. Department of Defense, the State of New York, Puerto Rico, and Washington D.C., enhancing their hiring and talent management capabilities to strengthen mission readiness.

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FarmWise

AI-powered farming technology innovator

Headquarters: Santa Clara, California, United States

Founded: 2016

Annual Revenue: $35.3 million

FarmWise is an agricultural technology company specializing in AI-powered precision weeding solutions. With advanced computer vision and machine learning, FarmWise enables plant-level farming by identifying and removing weeds with sub-inch accuracy, reducing the need for chemical herbicides. Its flagship product, the Vulcan precision weeding implement, has been deployed across thousands of acres to improve farming efficiency and sustainability. In 2024, FarmWise expanded its reach through an exclusive partnership with RDO Equipment Co., enhancing support for its technology among vegetable growers in the U.S. Southwest. This collaboration underscores FarmWise’s mission to revolutionize agriculture by combining cutting-edge AI with practical farming applications.

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Glean

Leader in generative enterprise search technology

Headquarters: Palo Alto, California, United States

Founded: 2019

Annual Revenue: $100 million

Considered one of the unicorns of the emerging generative AI scene, Glean has evolved into a prominent player in enterprise AI by expanding beyond search to offer comprehensive workplace solutions. With its Work AI platform, including features like Workplace Search, Assistant, Knowledge Management, Work Hub, and Connectors, Glean enables businesses to create self-service tools for employees to access critical information across applications. Recent advancements include the launch of the Glean Agents platform, which allows no-code creation of AI agents for automating complex workflows across departments. Glean is expanding globally into markets like Japan and Europe while targeting new verticals such as healthcare and manufacturing.

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Gong

AI-powered revenue, service, and sales intelligence

Headquarters: San Francisco, California, United States

Founded: 2015

Annual revenue: $300 million

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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Insitro

Multidisciplinary, AI-powered approach to drug discovery

Headquarters: San Francisco, California, United States

Founded: 2018

Annual revenue: $69 million

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 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. In 2024, Insitro partnered with Eli Lilly to advance treatments for metabolic diseases, combining its AI-driven platform with Lilly’s expertise in drug delivery and metabolic biology.

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InVideo

Customizable AI videos for social media

Headquarters: San Francisco, California, United States

Founded: 2017

Annual revenue: $18.1 million

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 AI-generated content from the platform by inputting target audience, platform, and other tailored instructions.