Published by The Elephant Research, July 2023
According to BARD[1], Artificial intelligence (AI) is the ability of a computer, or a robot controlled by a computer to do tasks that usually require human intelligence and discernment. Although there are no AIs that can perform the wide variety of tasks an ordinary human can do, some AIs can match humans in specific tasks. Here are some examples of AI:
AI is a rapidly growing field, and there are many exciting new developments happening all the time. As AI continues to evolve, it has the potential to revolutionize many aspects of our lives. Here are some of the potential benefits of AI:
However, there are also some potential risks associated with AI:
It is important to be aware of both the potential benefits and risks of AI. As AI continues to evolve, we need to make sure that it is used for good and not for evil.
According to BARD, the AI software development market is growing rapidly, and is expected to reach a value of $1.094 trillion by 2032. The AI hardware development market is expected to reach a value of $89.22 billion by 2030.
The market is being driven by the increasing demand for AI-powered solutions in a variety of industries, including healthcare, finance, manufacturing, and retail.
Here are some of the factors that are driving the growth of the AI software and hardware development markets:
Here are some of the key trends that are shaping the AI software development market:
Here are some of the key trends that are shaping the AI hardware development market:
Following we present some of the largest private companies active in the AI market:
Latest Known information:
Legal name | DataRobot, Inc. |
Web Site | www.datarobot.com |
Employees | 1,141 |
Post-money valuation | $6.30 B |
Total raised to-date | $1.05 B |
Revenues (last known) | 2021: $100 M |
Founded | 2012 |
Business status | Generating Revenue |
HQ | Boston, MA, United States |
Primary Industry/verticals | Business and Productivity Software/Artificial Intelligence & Machine Learning, Big data |
Developer of an enterprise artificial intelligence (AI) platform designed to accelerate data science by automating the end-to-end journey from data to value. The company’s platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models, and maximizes business value by delivering AI at scale, enabling clients to drive business outcomes by deploying trusted AI applications within their organizations.
DataRobot, Inc. develops and operates an automated machine-learning platform that enables enterprise users to build, deploy, and manage machine-learning models. The company offers DataRobot Cloud, a predictive analytic cloud and on-premises platform that offers a project-based curriculum; DataRobot MLOps, a machine learning operations solution for deploying, monitoring, and managing machine learning models across the enterprise; Data Prep, a solution for self-service data preparation for enterprise AI to visually and interactively explore, combine, and shape datasets into data ready for machine learning and AI applications at enterprise scale; automated machine learning to automate and democratize the creation of machine learning models that incorporate world-class data science expertise; and Automated Time Series to automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. It also provides DataRobot Enterprise, a solution with enterprise features, including flexible deployment, governance, training, and support; acceleration packages for artificial intelligence (AI) projects and education services for the deployment of AI; DataRobot AI Applications to interact with predictive models to optimize outcomes and support critical decisions; and education services. It serves customers in various industries related to banking, casinos and gaming, consumer packaged goods, financial markets, fintech, healthcare, insurance, manufacturing, marketing, oil and gas, the public sector, retail, telecommunications, robotic process automation, and sports. The company was incorporated in 2012 and is based in Boston, Massachusetts with additional offices in Columbus, Ohio; Morgantown, West Virginia; San Francisco, California; Washington, District of Columbia; Tokyo, Japan; Kyiv, Ukraine; Singapore; London, United Kingdom; and Copenhagen, Denmark.
Latest Known information:
Legal name | H2O.ai, Inc. |
Web Site | www.h2o.ai |
Employees | 374 |
Post-money valuation | $1.70 B |
Total raised to-date | $251 M |
Revenues (last known) | 2017: $15 M |
Founded | 2012 |
Business status | Generating Revenue |
HQ | Mountain View, CA, United States |
Primary Industry/verticals | Business and Productivity Software/Artificial Intelligence & Machine Learning, Big data, SaaS |
H2O.ai, Inc. develops an open-source parallel processing prediction engine for machine learning and predictive analytics on big data. It offers H2O AI Hybrid Cloud, which enables businesses, government entities, nonprofits, and academic institutions to make, operate, and innovate with AI to accelerate responsible innovation; H2O, an open-source predictive analytics platform for data scientists, application developers, and business analysts who need in-memory machine learning for smarter applications; H2O Driverless AI, the automatic machine learning platform; H2O Wave, which is an open-source development framework that enables users to develop applications in real-time, powered by AI technology; H2O; Sparkling Water; and H2O Document AI, a machine learning service that understands, processes, and manages the large volume and types of documents and unstructured text data; and H2O The company also provides marketing mix modeling, risk and fraud analysis, advertising technology, and customer intelligence solutions. In addition, it provides solutions, such as fraud detection, churn prediction, anomaly detection, price optimization, and credit scoring. The company serves health, financial services, insurance, marketing, telecommunications, manufacturing, and retail industry. The company has a strategic collaboration with Alteryx, Inc.
H2O.ai, Inc. was formerly known as 0xdata, Inc. and changed its name to H2O.ai, Inc. in March 2015. The company was incorporated in 2011 and is based in Mountain View, California with additional offices in New York, New York; Ottawa, Canada; Prague, Czech Republic; Chennai, India; and Singapore.
Latest Known information:
Legal name | SambaNova Systems, Inc. |
Web Site | www.sambanova.ai |
Employees | 342 |
Post-money valuation | $5.0 B |
Total raised to-date | $1.14 B |
Revenues (last known) | $25.5 M |
Founded | 2017 |
Business status | Generating Revenue |
HQ | Palo Alto, CA, United States |
Primary Industry/verticals | Business and Productivity Software/Artificial Intelligence & Machine Learning, Big data, SaaS, TMT |
SambaNova Systems, Inc. designs and develops SambaNova Suite for generative AI for enterprises and government organizations. The company provides an analytics platform that enables optimum performance for any ML training, inference, or analytics model. Its products include DataScale, that integrated software and hardware systems platform optimized from algorithms to silicon, and Dataflow-as-a-Service, which helps users deploy models to accelerate artificial intelligence (AI) workloads.
The company’s platform is focused on developing a system architecture that is flexible, scalable, and optimized for data flow, enabling manufacturers with AI-powered hardware to create faster and more efficient algorithms.
The company serves financial services and infrastructure; healthcare and life sciences; manufacturing and auto; and retail and e-commerce. The company was incorporated in 2017 and is based in Palo Alto, California.
The company raised $676 million of Series D venture funding in a deal led by SoftBank Investment Advisers on April 13, 2021, putting the company’s pre-money valuation at an estimated $4.32 billion. Intel Capital, GV, and 6 investors also participated in the round. The funds will be used to continue to expand the business reach and development efforts.
Latest Known information:
Legal name | DeepBlue Technology (Shanghai) Co., Ltd. |
Web Site | www.deepblueai.com |
Employees | 90 |
Post-money valuation | $3.66 B |
Total raised to-date | $47.39 M |
Revenues (last known) | N/A |
Founded | 2012 |
Business status | Generating Revenue |
HQ | Shanghai, China |
Primary Industry/verticals | Business/Productivity Software/Artificial Intelligence & Machine Learning, Autonomous cars, Big Data, Robotics and Drones |
Developer of AI technology and solutions for a wide variety of applications. The company’s business includes intelligent driving, intelligent robot, intelligent industry, intelligent sanitation, AI metaverse and intelligent health, enabling clients to use artificial intelligence technology to increase efficiency.
The company raised an undisclosed amount of venture funding from Top Rank Capital on December 26, 2022. Previously, the company received an undisclosed amount of venture funding from Baiying Urban Construction Investment, Guyin Fund and Henan Qishui Asset Management on January 13, 2022.
Last Known information:
Legal name | Scale AI, Inc. |
Web Site | www.scale.com |
Employees | 600 |
Post-money valuation | $7.30 B |
Total raised to-date | $603 M |
Revenues (last known) | 2022: $250 M |
Founded | 2016 |
Business status | Generating revenue |
HQ | San Francisco, CA, United States |
Primary Industry/verticals | Business/Productivity Software/Artificial Intelligence & Machine Learning, Big Data, Mobility Tech, SaaS |
Developer of a data-oriented platform designed to provide training and validation data for AI applications. The company’s platform offers a data-centric, end-to-end service to manage the entire machine learning lifecycle by combining technology to develop complex datasets, enabling clients to accelerate the development of artificial intelligence applications through ground truth data.
Scale AI, Inc. develops and offers a data platform that provides training and validation data for artificial intelligence applications. It offers 3D Sensor Fusion, an advanced annotation platform for 3D sensor data; Scale Image, an annotation platform for images; Scale Video, an annotation platform for videos; Scale Text, a platform for text annotation; Scale Document, an intelligent document processing product that combines OCR technology with human insights; and Scale Nucleus, a control product for the user’s data. The company’s products are used to perform various tasks, such as content moderation, phone surveys, transcription, chat bots, and data comparison. Its products are used by autonomous vehicles, retail and ecommerce, relevance and personalization, conversational AI, robotics, AR and VR, document processing, and product cataloguing sectors. Scale AI, Inc. was formerly known as Scale Labs, Inc. and changed its name to Scale AI, Inc. in July 2019. The company was incorporated in 2016 and is based in San Francisco, California.
Latest Known information:
Legal name | Anthropic PBC |
Web Site | www.anthropic.com |
Employees | 148 |
Post-money valuation | $5.0 B |
Total raised to-date | $1.15 B |
Revenues (last known) | |
Founded | 2021 |
Business status | Generating Revenue |
HQ | San Francisco, CA, , United States |
Primary Industry/verticals | Media and Information Services (B2B)/Artificial Intelligence & Machine Learning |
Operator of a research company intended to create large-scale artificial intelligence systems that are steerable, interpretable, and robust. The company focuses on research into increasing the safety of artificial intelligence systems and increasing the reliability of large-scale models, developing the techniques and tools to make them interpretable, enabling clients to rely on and generate research about the opportunities and risks of artificial intelligence.
The company raised $450 million through a combination of Series C, Series C-1, and Series C-2 venture funding in a deal led by Spark Capital, Salesforce Ventures, Zoom Ventures, GoldenArc, and HOF Capital on May 23, 2023, putting the company’s pre-money valuation at $4.55 billion. Pioneer Fund, Wikus Ventures, Sound Ventures, GG 1978, SV Angel, Samsung Venture Investment, Menlo Ventures, and Alphabet also participated in the round. The funds will be used to grow the team across product and research teams and meet the increasing demand for AI technologies that are reliable and trustworthy.
Latest Known information:
Legal name | Stability AI Ltd |
Web Site | www.stability.ai |
Employees | 170 |
Post-money valuation | $4.0 B |
Total raised to-date | $111 M |
Revenues (last known) | 2022: $10 M |
Founded | 2021 |
Business status | Generating revenue |
HQ | London, England, United Kingdom |
Primary Industry/verticals | Business/Productivity Software/Artificial Intelligence & Machine Learning Augmented Reality |
Developer of an artificial intelligence tool intended to create images based on text input given. The company’s tool implements given text commands into images and other forms of media using collective intelligence and augmented technology, enabling clients to develop cutting-edge open artificial intelligence models for image, language, audio, video, 3D, and biology.
The company is reportedly seeking an undisclosed amount of venture funding as of March 4, 2023. Previously, the company raised an undisclosed amount of venture funding from Sound Ventures on May 1, 2023. The company is being actively tracked by PitchBook. Millennia Capital, Lemniscap and GG 1978participated in the round.
Latest Known information:
Legal name | Dataiku Inc |
Web Site | www.dataiku.com |
Employees | 1,293 |
Post-money valuation | $3.7 B |
Total raised to-date | $848 M |
Revenues (last known) | 2022: $105 M |
Founded | 2013 |
Business status | Generating revenue |
HQ | New York, NY, United States |
Primary Industry/verticals | Business/Productivity Software/Artificial Intelligence & Machine Learning Big Data, SaaS |
Dataiku Inc. develops and offers artificial intelligence and machine learning based data platforms that enables business to prepare and analyze data. It offers Dataiku DSS, a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products. The company’s Dataiku DSS enables to profile the data visually at every step of the analysis; interactively explore and chart data using built-in charts; prepare, enrich, blend, and clean data using built-in functions; and machine learning technologies in a visual UI.
Developer of centralized data platform designed to help businesses in their data journey from analytics at scale to enterprise AI. The company’s platform offers predictive modeling and machine learning capabilities that allow users to build custom models supporting agility in organizations’ data efforts via collaborative, elastic, and responsible artificial intelligence, enabling enterprises to build their own path to artificial intelligence in a human-centric way.
The company raised $200 million of Series F venture funding in a deal led by Wellington Management on December 12, 2022, putting the company’s pre-money valuation at $3.5 billion. Snowflake Ventures, Insight Partners, Eurazeo, CapitalG, ICONIQ Growth, Tiger Global Management, Serena Capital, FirstMark Capital, Battery Ventures, Dawn Capital, Olivier Pomel and Lightrock also participated in the round. The funds will be used to accelerate the company’s platform capabilities and prepare for its next phase of strong, sustainable growth.
Dataiku Inc. was founded in 2013 and is based in New York, New York with additional offices in Paris, France; London, United Kingdom; Amsterdam, the Netherlands; Frankfurt, Germany; Sydney, Australia; Denver, Colorado; Washington, District of Columbia; Los Angeles, California; Tokyo, Japan; and Singapore.
Latest Known information:
Legal name | Castle Global, Inc. |
Web Site | www.thehive.ai |
Employees | 285 |
Post-money valuation | $2.0 B |
Total raised to-date | $169 M |
Revenues (last known) | N/A |
Founded | 2013 |
Business status | Generating Revenue |
HQ | San Francisco, CA, United States |
Primary Industry/verticals | Business/Productivity Software/Artificial Intelligence & Machine Learning |
Developer of full-stack artificial intelligence software designed to streamline the creation of custom, business AI models. The company’s software development process includes data labeling and model deployment, enabling enterprises to automate business processes such as receipt parsing, ad identification, and transcription to reduce their overhead.
The company raised $85 million through the combination of debt and Series D venture funding in a deal led by Glynn Capital on April 21, 2021, putting the company’s pre-money valuation at $1.95 billion. Bain & Company, Ferrer, Smile Group, Massive VC, Venture Development Partners, General Catalyst, Tomales Bay Capital, Jericho Capital, and Standard Investments also participated in the round. The funds will be used to continue the development of the company’s cloud-based deep learning models and to invest in building out its sales and marketing teams.
Latest Known information:
Legal name | SB Technology, Inc. |
Web Site | www.sandboxaq.com |
Employees | 167 |
Post-money valuation | $4.0 B |
Total raised to-date | $500 M |
Revenues (last known) | N/A |
Founded | 2021 |
Business status | Generating revenue |
HQ | New York, NY, United States |
Primary Industry/verticals | Business/Productivity Software Artificial Intelligence & Machine Learning, SaaS, Cybersecurity |
Developer of AI quantum software designed to address significant business and scientific challenges. The company’s platform specializes in practical AI and quantum technology that allows cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, and natural sciences addressing real-world business and computational challenges, enabling clients to deliver computing technologies.
The company raised $500 million of Series D venture funding from Barton Technology Ventures, Amadeus Capital Partners, and Elaia Partners on March 22, 2022, putting the company’s pre-money valuation at $3.5 billion. Paladin Capital Group and other investors also participated in the round. The funds will be used to hire additional AI experts, physicists, and engineers to further develop and deliver its AI and quantum technologies.
[1]BARD is a large language model (LLM) chatbot developed by Google AI. It is trained on a massive dataset of text and code, and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
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