Search company, investor...

Founded Year

2012

Stage

Series E - II | Alive

Total Raised

$246.12M

Valuation

$0000 

Last Raised

$100M | 3 yrs ago

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-3 points in the past 30 days

About H2O.ai

H2O.ai specializes in generative AI and machine learning. It provides a comprehensive AI cloud platform for various industries. The company offers a suite of AI cloud products, including automated machine learning, distributed machine learning, and tools for AI-driven data extraction and processing. H2O.ai caters to sectors such as financial services, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. H2O.ai was formerly known as 0xdata. It was founded in 2012 and is based in Mountain View, California.

Headquarters Location

2307 Leghorn Street

Mountain View, California, 94043,

United States

650-227-4572

Loading...

H2O.ai's Product Videos

ESPs containing H2O.ai

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Development

The AI development platforms market offers solutions that serve as one-stop shops for enterprises that want to develop and launch in-house AI projects. Vendors in this space enable organizations to manage all aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform in order to facilitate end-to-end model…

H2O.ai named as Challenger among 15 other companies, including Google Cloud Platform, Databricks, and IBM.

H2O.ai's Products & Differentiators

    H2O AI Cloud

    H2O AI Cloud provides customers with an end-to-end predictive analytics AI platform. The H2O AI Cloud provides the following capabilities: feature store & management, AI engines to train models (AutoML, H2O-3, Deep Learning, Document AI), MLOPs deploy and manage models in production, and the ability to rapidly create and deploy python AI Apps. Customers can run the H2O AI Cloud – Hybrid in any cloud, on-premises, or as a managed service.

Loading...

Expert Collections containing H2O.ai

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

H2O.ai is included in 9 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,261 items

R

Regtech

1,453 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.

A

AI 100

200 items

I

Insurtech

4,420 items

Companies and startups that use technology to improve core and ancillary insurance operations. Companies in this collection are creating new product architectures, improving underwriting models, accelerating claims and creating a better customer experience

C

Conference Exhibitors

5,302 items

F

Fintech

9,394 items

Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.

H2O.ai Patents

H2O.ai has filed 11 patents.

The 3 most popular patent topics include:

  • machine learning
  • artificial intelligence
  • complex analysis
patents chart

Application Date

Grant Date

Title

Related Topics

Status

4/21/2023

10/15/2024

Machine learning, Complex analysis, Diagrams, Data mining, Artificial intelligence

Grant

Application Date

4/21/2023

Grant Date

10/15/2024

Title

Related Topics

Machine learning, Complex analysis, Diagrams, Data mining, Artificial intelligence

Status

Grant

Latest H2O.ai News

Global Generative Artificial Intelligence (AI) In Real Estate Market: Key Trends, Market Share, Forecast For 2025-2034

Feb 25, 2025

Updated 2025 Market Reports Released: Trends, Forecasts to 2034 – Early Purchase Your Competitive Edge Today! ” — The Business Research company LONDON, GREATER LONDON, UNITED KINGDOM, February 25, 2025 / EINPresswire.com / -- What Is The Growth Trajectory Of The Generative AI In Real Estate Market? The generative artificial intelligence AI in real estate market has grown exponentially in recent years. From $0.59 billion in 2024, the market is forecasted to grow to $0.77 billion in 2025, reflecting a compound annual growth rate CAGR of 30.7%. This significant growth rate during the historic period can be attributed to urbanization, the increasing demand for personalized property, the surge in the adoption of smart building technologies, the growth in data availability, and increased investments in AI for research and development. Where Is The Generative AI In Real Estate Market Headed? Looking forward, the generative AI in real estate market size is set to see exponential growth. With projections reaching $2.23 billion by 2029, the market expects a CAGR of 30.4%. This surge during the forecast period is expected to be fuelled by the growing demand for new construction, increasing disposable income, the rise in proptech startups, the surging demand for platforms, and a strong inclination towards personalization. Get Your Free Sample Market Report: https://www.thebusinessresearchcompany.com/sample.aspx?id=20812&type=smp What Is Driving The Generative AI In Real Estate Market? The rise in new constructions is a significant driver for the generative AI in real estate market. Urbanization, population growth, and the need for updated infrastructure and housing to accommodate changing lifestyles and economic conditions are increasing the demand for new constructions. Generative AI plays a crucial role in these scenarios by optimizing building designs, automating planning processes, and predicting material requirements. Notably, in February 2023, UK's Office for National Statistics reported that the annual construction output had increased by 5.6% in 2022 compared to 2021, following a record increase of 12.8% in 2021. Order Your Report Now For A Swift Delivery: https://www.thebusinessresearchcompany.com/report/generative-artificial-intelligence-ai-in-real-estate-global-market-report Who Are The Key Industry Players In The Generative Ai In Real Estate Market? Leading companies operating in the generative AI in real estate market are Compass Inc., Rocket Companies, Autodesk Inc., Zillow Group Inc., Yardi Systems Inc., Redfin Corporation, C3.ai Inc., DataRobot Inc., Keller Williams Realty Inc., Matterport Inc., H2O.ai Inc., Matellio Inc., Rex Real Estate Exchange Inc., LocalizeOS Inc., HouseCanary Inc., Hyro Inc., BigOhTech Inc., Roof Ai Inc., RisingMax Inc., SmartZip Analytics Inc., and Entera Inc. What Emerging Trends Are Shaping The Generative AI In Real Estate Market? New generative AI-powered real estate assistants are being developed by major companies in the industry. These tech innovations aim to enhance property valuation accuracy, streamline transaction processes, and improve customer engagement. One such example is the KWIQ, a generative AI-powered real estate assistant launched by Keller Williams Realty Inc. in June 2024. This digital tool offers productivity enhancement features, streamlining marketing efforts, and empowering real estate agents to serve clients more effectively. How Is The Generative AI In Real Estate Market Segmented 1 By Component: Services; Software Tools; Platforms 2 By Deployment Mode: Cloud-Based; On-Premises 3 By Application: Property Valuation; Building Design; Predictive Maintenance; Energy Management; Other Applications 4 By End-User: Real Estate Agents; Property Managers; Architects; Engineers; Other End-Users Subsegments include: 1 By Services: Consulting Services; Integration Services; Support and Maintenance Services; Data Analytics Services 2 By Software Tools: AI-Powered Property Valuation Tools; Predictive Analytics Software For Market Trends; AI-Based Investment Tools; Virtual Property Tours And Visualization Tools 3 By Platforms: AI-Driven Real Estate Platforms; Cloud-Based Property Management Platforms; AI-Based Real Estate Marketplaces; Real Estate CRM Platforms With AI Integration What Are The Regional Insights Into The Generative AI In Real Estate Market? North America was the largest region in the generative artificial intelligence AI in real estate market in 2024, while other regions covered in the report include Asia-Pacific, Western Europe, Eastern Europe, South America, Middle East, and Africa. Browse For More Similar Reports- Artificial Intelligence In Regtech Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-regtech-global-market-report Artificial Intelligence In Radiology Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-radiology-global-market-report Artificial Intelligence In Oncology Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-oncology-global-market-report About The Business Research Company The Business Research Company offers comprehensive, data-rich research and insights across 27 industries spanning over 60 geographies. With 1,500,000 datasets and unique insights from industry leaders, you can stay ahead in the game. Contact us at: The Business Research Company: https://www.thebusinessresearchcompany.com/ Americas +1 3156230293 Asia +44 2071930708 Europe +44 2071930708 Email us at info@tbrc.info Follow us on: LinkedIn: https://in.linkedin.com/company/the-business-research-company YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model Oliver Guirdham The Business Research Company info@tbrc.info Visit us on social media: Facebook X LinkedIn Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above. Information contained on this page is provided by an independent third-party content provider. XPRMedia and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact pressreleases@xpr.media

H2O.ai Frequently Asked Questions (FAQ)

  • When was H2O.ai founded?

    H2O.ai was founded in 2012.

  • Where is H2O.ai's headquarters?

    H2O.ai's headquarters is located at 2307 Leghorn Street, Mountain View.

  • What is H2O.ai's latest funding round?

    H2O.ai's latest funding round is Series E - II.

  • How much did H2O.ai raise?

    H2O.ai raised a total of $246.12M.

  • Who are the investors of H2O.ai?

    Investors of H2O.ai include NVIDIA, Wells Fargo Strategic Capital, Cohen Circle, Celesta Capital, Crane Venture Partners and 20 more.

  • Who are H2O.ai's competitors?

    Competitors of H2O.ai include Ndustrial, Accern, VULCAiN Ai, Moondream, Mindtech and 7 more.

  • What products does H2O.ai offer?

    H2O.ai's products include H2O AI Cloud and 1 more.

  • Who are H2O.ai's customers?

    Customers of H2O.ai include AT&T, CBA, AES , IFFCO-Tokio and Epsilon.

Loading...

Compare H2O.ai to Competitors

DataRobot Logo
DataRobot

DataRobot specializes in artificial intelligence and offers an open, end-to-end AI lifecycle platform within the technology sector. The company provides solutions for scaling AI applications, monitoring and governing AI models, and driving business value through predictive and generative AI. DataRobot serves various industries, including healthcare, manufacturing, retail, and financial services, with its AI platform. It was founded in 2012 and is based in Boston, Massachusetts.

Databricks Logo
Databricks

Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.

Domino Logo
Domino

Domino specializes in accelerating the development and deployment of data science work. It offers a platform that enables access to data, tools, computing, models, and projects across any environment, fostering collaboration and establishing best practices while ensuring governance and reducing costs. Domino primarily serves sectors such as life sciences, financial services, manufacturing, and insurance, providing solutions for preclinical research, clinical development, model risk management, fraud prevention, and more. The company was founded in 2013 and is based in San Francisco, California.

Dataiku Logo
Dataiku

Dataiku develops a centralized data platform. Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunications sector, and more. It was founded in 2013 and is based in New York, New York.

Vianai Systems Logo
Vianai Systems

Vianai Systems focuses on artificial intelligence (AI) in the software industry. The company offers AI-based solutions that enable businesses to uncover insights in their enterprise systems using natural language and to build machine learning applications. Vianai Systems primarily serves the software industry. It was founded in 2019 and is based in Palo Alto, California.

Abacus.AI Logo
Abacus.AI

Abacus.AI specializes in generative artificial intelligence (AI) technology and the development of enterprise AI systems and agents. The company offers products including AI super assistants, machine learning operations, and applied AI research, aimed at enhancing predictive analytics, anomaly detection, and personalization. Abacus.AI primarily serves sectors that require advanced AI solutions, such as finance, healthcare, and e-commerce. Abacus.AI was formerly known as RealityEngines.AI. It was founded in 2019 and is based in San Francisco, California.

Loading...

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.