Nexus Venture Partners is a venture capital firm established by ex-entrepreneurs in enterprise technology and consumer internet. The firm was founded in 2006 and is headquartered in Menlo Park, California, United States.

Nexus Venture Partners

SanDisk is a multinational corporation that designs, develops, manufactures, and markets data storage solutions in the United States and internationally.  The company offers removable cards, which are used in various applications and consumer devices, including digital cameras, camcorders, smartphones, tablets, and e-readers under the SanDisk Ultra, SanDisk Extreme, and SanDisk Extreme PRO brands; and embedded products that are used in mobile phones, tablets, notebooks, and other portable and wearable devices as well as in automotive and connected home applications under the brand name, iNAND.  The company also provides solid state drives (SSDs) for client computing applications, including desktop and notebook computers, tablets, and other computing devices; and enterprise SSD solutions as well as universal serial bus flash drives for use in the computing and consumer markets. In addition, the company offers digital media players under the Sansa brand; wireless media and flash drive products under the SanDisk Connect brand; and memory wafers and components.  SanDisk sells its products directly and through distributors to original equipment manufacturers, system integrators, and resellers as well as consumer electronics stores, office superstores, mobile phone stores, mass merchants, e-commerce retailers, catalog and mail order companies, drug stores, supermarkets, convenience stores, and kiosks.  SanDisk was founded in 1988 and is headquartered in Milpitas, California.

SanDisk

Transamerica Ventures is the corporate venture capital arm of the Aegon Group and Transamerica. Transamerica Ventures invests in early-stage, high-growth technology companies throughout the United States and around the world.  Transamerica Ventures is an extension of Aegon’s innovation strategy and makes equity investments in companies that align with and help facilitate these strategic goals. The broad range of companies and market sectors into which Transamerica Ventures invests or looks to potentially invest includes communication technologies, marketing and social media platforms, financial technology and financial services (FinTech/FinServ), big data, enterprise IT, content and other B2B and B2B2C opportunities. Transamerica Ventures adds strategic value to its portfolio companies by providing them with the unique opportunity to leverage the global networks and resources of one of the world’s leading life insurance, pension and asset management firms.  Transamerica Ventures puts its entrepreneurs first and supports them with strategy and business development and by creating partnerships with the Aegon/Transamerica organization.

Transamerica Ventures

Paxion Capital Partners is a privately-held investment management firm that offers investment management services. It was founded in 2015 and is based in Menlo Park, California, United States.

Paxion Capital Partners

Transamerica is an American private holding company that provides services for various life insurance companies and investment firms doing business primarily in the United States. Through its subsidiaries, Transamerica offers insurance, retirement, and investment products. It offers term life, whole life, universal life, variable universal life, long-term care, accidental death, Medicare solutions, and final expenses insurance solutions; retirement solutions including 401(k) and 403(b) pensions, sponsor services, individual retirement accounts and rollover individual retirement accounts; mutual funds; and variable annuities.  Transamerica also funds the Transamerica Institute, a non-profit private foundation that has two divisions: Transamerica Center for Retirement Studies and the Transamerica Center for Health Studies. Transamerica was founded in 1904 and is headquartered in Cedar Rapids, Iowa. It operates as a subsidiary of AEGON International B.V.

Transamerica

Capital One Ventures is a strategic investor, funding startups that are driving the future of data, technology, and financial services. Founded in 2014, Capital One Ventures has invested in more than 70 companies that help deliver superior experiences to consumers and businesses. Capital One Ventures is based in San Francisco, New York and at Capital One's headquarters outside of Washington, DC.

Capital One Ventures

Celesta Capital is a venture capital firm that invests in entrepreneurs and disruptive technology companies. Their management team and investment professionals leverage over 400 years of accumulated investment and operational experience and bring to their portfolio companies a deep and unmatched network of value-added strategic relationships.  Celesta Capital invests globally and has offices in California, Israel, India, and China

Celesta Capital

Wells Fargo is a diversified financial services company with $1.3 trillion in assets, providing banking, insurance, investments, mortgage, and consumer finance through more than 10,000 stores, over 12,000 ATMs, and the internet across North America and internationally. Wells Fargo is an American multinational banking and financial services holding company with operations around the world. Wells Fargo is the fourth largest bank in the U.S. by assets and the largest bank by market capitalization. Wells Fargo is the second-largest bank in deposits, home mortgage servicing, and debit cards. In 2011, Wells Fargo was the 23rd largest company in the United States. Wells Fargo is headquartered in San Francisco, California, with ''hub quarters'' throughout the country. In 2007 it was the only bank in the United States to be rated AAA by S&P, though its rating has since been lowered to AA− in light of the financial crisis of 2007–2012. The firm's primary U.S. operating subsidiary is the national bank Wells Fargo Bank, N.A., which designates its main office as Sioux Falls, South Dakota. Wells Fargo in its present form is a result of a merger between San Francisco-based Wells Fargo & Company and Minneapolis-based Norwest Corporation in 1998 and the subsequent 2008 acquisition of Charlotte-based Wachovia. Following the mergers, the company transferred its headquarters to Wells Fargo's headquarters in San Francisco and merged its operating subsidiary with Wells Fargo's operating subsidiary in Sioux Falls. In 2012, Wells Fargo had more than 9,000 retail branches and over 12,000 automated teller machines in 39 states and the District of Columbia. A ''Big Four bank'', it has over 270,000 employees and over 70 million customers. As of July 12, 2013, Wells Fargo became the world's biggest bank by market capitalization, worth $236 billion.

Wells Fargo

Barclays Investment Bank offers comprehensive financial advisory, capital raising, financing and risk management services for corporations, governments and financial institutions worldwide.  Their Banking teams are at the heart of their origination-led Investment Banking strategy.  Applying deep expertise across sectors, regions and products, they create customised, sophisticated strategies to help clients achieve their goals. Their integrated coverage model offers their clients seamless access to industry- and geography-specific expertise across all products. This ensures that clients around the world receive the most informed strategic advice, comprehensive financial solutions and risk management services wherever they do business.   Barclays Investment Bank serves institutional investor clients by helping them to understand developments in global markets and offering execution and risk management tools across each major asset class.  Barclays Investment Bank's award-winning research platform delivers an integrated cross-asset perspective on key economic, political and market developments.  Their global team delivers actionable insights and innovative products to their clients, partnering with them to ensure they can leverage their resources to make informed investment decisions. Institutional clients can request access to Barclays Live to view their full offering, including asset allocation, economics, commodities, FX, interest rates, credit and equities.

Barclays Investment Bank

New York Life Insurance Company is a mutual life insurance company in the United States and one of the life insurers in the world, ranking #88 on the 2014 Fortune 500 list with over $540 billion in total assets under management, and more than $19 billion in surplus and AVR.  New York Life and its subsidiaries provide insurance, investment, and retirement solutions. For 175 years, the company has been helping people put their love into action. It was founded in 1845 and is headquartered in 	New York.

New York Life Insurance

Crane is a London based VC firm investing and building seed and early stage intelligent enterprise and deep technology businesses across Europe. Our strategy is to support founders in building and executing their go-to-market strategy.

Crane Venture Partners

CE Innovation Capital is an investment firm that provides digital innovation and wealth management services. Founded in February 2016, CreditEase FinTech Investment Fund (“CEFIF”) is a venture fund investing in FinTech companies globally. CEFIF has an equivalent of $1 billion in the total committed capital. The fund invests in five sub-segments within the domain of FinTech: Lending, Payment, Personal Finance/Wealth Management, Enterprise Solutions, and Insurance.

CreditEase Fintech Investment Fund

Ruttenberg Gordon Investments (“RGI”) specializes in equity and debt investments in real estate, private equity, growth equity, and alternative hard assets. To date the firm has made 100+ investments amounting to $3Bn+ of total transaction volume.

Ruttenberg Gordon Investments

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

Goldman Sachs

Established by Ping An Group, Ping An Global Voyager is a Hong Kong-based investor in growth stage fintech and healthtech companies. Global Voyager typically invests between US$15 million and US$50 million in non-control positions where an affiliation with Ping An has the potential to meaningfully accelerate a target company’s growth. Global Voyager has active investments in Europe, Asia and North America.

Ping An Global Voyager

The Commonwealth Bank is a provider of integrated financial services including retail banking, premium banking, business banking, institutional banking, funds management, superannuation, insurance, investment, and sharebroking products and services. CommBank is known for its strong emphasis on digital banking services. It has a user-friendly mobile app and online banking platform, allowing customers to perform various transactions, check balances, and manage accounts remotely. Apart from its significant presence in Australia, the Commonwealth Bank has a presence in other countries, primarily in the Asia-Pacific region. It serves customers in New Zealand, China, Hong Kong, Indonesia, India, Vietnam, the United States, and the United Kingdom.

Commonwealth Bank of Australia

NVIDIA is a computing platform company, innovating at the intersection of graphics, HPC, and AI. The company specializes in the manufacture of graphics-processor technologies for workstations, desktop computers, and mobile devices. The company is a major supplier of integrated circuits used for personal computer motherboard chipsets, graphics processing units (GPUs), and game consoles. Founded in 1993, NVIDIA is headquartered in Santa Clara, California.

NVIDIA

Pivot Investment Partners is a team of CEO-level operating executives who have grown and transformed financial services businesses around the world. It shares deep experience in markets where information, technology, and scalable processes are critical drivers of success. It works closely with a select set of high-potential financial services and FinTech companies, investing our operating expertise and capital in their success and accelerated growth. Each of its engagements is tailored to company-specific needs, including access to broader pools of capital. All of its partnerships are underpinned by a shared passion for building distinctive, innovative, and customer-centric businesses.

Pivot Investment Partners

Goldman Sachs Asset Management provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies.  They seek to build long-term relationships based on conviction, sustainable outcomes, and shared success over time. It was founded in 1991 and is headquartered in New York, United States.

Goldman Sachs Asset Management

Cohen Circle is an investment firm founded by financial services pioneers, Betsy Cohen and her son Daniel Cohen. Since 2015, the firm has provided transformative capital to late stage fintech growth companies. Today, we make investments across the capital structure in the fintech, technology, and impact spaces, with $5bn+ in capital raised. Our decades-long experience as founders, operators, and innovators uniquely positions us to capitalize and transform companies through our significant networks and expertise. For more information visit cohencircle.com.

Cohen Circle

H2O.ai

H2O.ai is an AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI partner to more than 20,000 global organizations, including AT&T, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever, and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA, and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise. The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.H2O.ai.

H2O.ai offers a platform called H2O AI Cloud that helps host, monitor, and evaluate ML models, along with a deep-learning training engine to produce image, video, and natural language processing (NLP) models without coding. It includes pre-built models and applications to address multiple use cases including credit-risk scoring and supply chain optimization. The company offers the platform as a fully managed cloud service or through a hybrid cloud offering.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

H2O.ai is an artificial intelligence and machine learning company founded in 2011 by Sri Ambati and Cliff Click. The company's mission is to democratize AI by making it accessible and usable for businesses, government entities, non-profits, and academic institutions worldwide. H2O.ai offers a comprehensive suite of AI and machine learning tools, including its flagship product, the H2O AI Cloud, a fully managed AI platform that provides organizations with the capabilities to build, deploy, and manage AI models.

An introduction to H2O.ai

H2O.ai Raises $40 Million to Democratize Artificial Intelligence for the Enterprise

Convergence of The World's Best Predictive & Generative AI

H2O.ai Makes AI Approachable to Enterprises

How H2O.ai democratises AI with cloud technologies

H2O.ai Inaugurates GenAI World for Public Sector to Spur Growth and Innovation of Generative AI for Government Departments and Agencies

Power to the Data Report: Introduction to H2O.ai

H2O.ai: What is it? How to use it? Ultimate Guide 2023

H2O AI Hybrid Cloud: Democratizing AI for every person and every organization

Billigence

H2O.ai launches Deep Learning Training Engine H2O Hydrogen Torch

Powering digital transformation for businesses

Low-code Platforms

H2O.ai offers an end-to-end GenAI platform built for on-premise or cloud VPC deployments. It allows the connection of LLM/embedding models and scalable w/K8s and includes guardrails, summarization, cost controls, and customization options.

Foundation Models

H2O.ai Celebrates Global Leaders Driving AI in AI 100 List

Azure

To integrate H2O.ai and Azure Machine Learning and enable any users or products to deploy and reuse H2O.ai models with hosted inferencing on Azure ML with a simple API call to make model adoption easier.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

AT&T

AT&T and H2O.ai launch co-developed artificial intelligence feature store with industry-first capabilities

Platforms and frameworks that help developers build and train ML models.

Intel

To accelerate AI adoption in the enterprise.This collaboration is Project Blue Danube, a co-innovation project focused on accelerating H2O.ai technologies on Intel platforms, including the Intel® Xeon® Scalable processor and the two companies will partner on community and ecosystem growth, advancing data science education

Alteryx

To integrate H2O Driverless AI, an automated machine learning platform, with the Alteryx Platform, enabling users to simplify and operationalize their end-to-end data science workflows.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

To focus on combining IBM POWER Systems and H2O Driverless AI to address the AI demands of enterprises. This joint solution is ideal for financial services, retail, manufacturing, IOT and healthcare industries.

Using data and automation to achieve 24/7 production.

Smart Factory

Companies that provide an industrial IoT platform across factories as the primary offering.

To integrate H2O.ai's automated machine learning platform, Driverless AI, and its open source GPU-accelerated machine learning package, H2O4GPU on NVIDIA Volta architecture GPUs (NVIDIA Tesla V100) and CUDA 9 software to deliver accurate iterations of machine learning models.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

To integrate the H2O.ai AI platform, GPU-powered machine learning, and deep learning on IBM’s Power Systems platform to offer organizations a full stack AI solution.

H2O.ai and Nvidia partners for  machine learning and deep learning algorithms

H2O.ai offers a platform called H2O AI Cloud that helps host, monitor, and evaluate ML models, along with a deep-learning training engine to produce image, video, and natural language processing (NLP) models without coding. It includes pre-built models and applications to address multiple use cases including credit-risk scoring and supply chain optimization. The company offers the platform as a fully managed cloud service or through a hybrid cloud offering.The company also offers a no-code application called the LLM DataStudio, which streamlines data preparation and curation tasks for LLMs. Additionally, it provides two open-source projects: h2oGPT, an LLM fine-tuning framework with a chatbot UI for question-and-answer capabilities, and H2O LLM Studio, a framework and no-code platform for developers to fine-tune LLMs.As of January 2024, the company operated in the US, Canada, India, Singapore, and the Czech Republic.Key customers and partnershipsAs of January 2024, H2O.ai had more than 20,000 global organizations, one million data scientists, and more than half of the Fortune 500 organizations among its customers. The company serves customers in the financial services, healthcare, telecommunications, retail, pharmaceutical, and marketing sectors. Its notable customers include AT&amp;T, Allergan, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, and Walgreens.H2O.ai partnered with AT&amp;T in October 2021 to build and launch an AI feature store for enterprises to help them manage and reuse data and house and distribute the features required to build AI models. The company also collaborated with The Center for Digital Health Innovation (CDHI) at the University of California in December 2021 to develop and train AI algorithms to recognize different types of documents, analyze its contents, extract relevant data, and more.Funding and financialsIn November 2021, the company raised USD 100 million at a USD 1.7 billion valuation in a Series E funding round led by the Commonwealth Bank of Australia (CBA). The funds were to be utilized to expand partnerships, sales, marketing, and customer success globally. The company also announced a strategic partnership with CBA primarily to boost the latter’s AI capabilities and develop financial services with AI applications using H2O AI Cloud.

Datagen provides a self-service synthetic data platform that generates visual synthetic data of humans for computer vision applications. The platform allows users to write their own code to generate labeled synthetic data for faces, full body, and humans in motion in the form of images and videos to test and train AI models while retaining complete control over the data. The data covers a range of computer vision tasks including face landmark detection, face and hair segmentation, facial recognition and identification, full body pose estimation, full body segmentation, and behavior detection.Key customers and partnershipsThe company serves three of the top five global technology companies and Fortune 500 companies across the automotive, smart fitness, AR/VR/metaverse, smart office, and home security industries. Its notable customers include Google, Toyota, NVIDIA, IBM, and Intel.Funding and financialsIn March 2022, the company raised USD 50 million in a Series B funding round led by Scale Venture Partners. The funds were utilized to bolster its position in the market.Datagen reported to have recorded 8x growth in revenue in 2022.

Datagen

Weights &amp; Biases offers a platform that allows users to build models with experiment tracking, data set and model versioning, data visualization, hyperparameter optimization, and model management. The platform enables users to automatically retrain and re-evaluate models and centrally manage all model versions through every lifecycle stage—from development to staging to production. It also helps to visualize comparisons between model versions to evaluate performance and identify regressions before model deployment. It also offers toolkits such as <a href="https://sp-edge.com/updates/19172">W&amp;B Weave and W&amp;B Production Monitoring </a>to build and monitor data- and ML-powered applications, respectively, through interactive visualizations.The company also offers a <a href="https://sp-edge.com/updates/17880">suite of tools (W&amp;B Prompts) </a>to support large language model operations (LLMOps). W&amp;B Prompts includes tools and features for experiment tracking, debugging, and collaboration, as well as a one-click method to evaluate and score prompts through the OpenAI Eval’s framework.The company provides the platform through a free tier and under a subscription model for up to USD 50 per user per month.Key customers and partnershipsWeights &amp; Biases served more than 700,000 ML practitioners as of August 2023. Its notable include NVIDIA, Toyota, BMW Group, Samsung, Fujifilm, Truebill, and Clear Capital.The company has <a href="https://sp-edge.com/updates/18663">partnered with Lambda </a>, a GPU cloud computing provider, to offer its MLOps platform integrated with the infrastructure services of the latter, catering to enterprises dealing with AI and deep-learning workloads.Funding and financialsIn August 2023, the company raised <a href="https://sp-edge.com/updates/20874">USD 50 million in a strategic investment </a>round at a valuation of USD 1.25 billion, led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. The company aimed to utilize the fresh funds to further develop its ML tools, including the launch of W&amp;B Prompts.

Weights & Biases

BentoML offers an open-source platform called Bento Cloud, for the deployment and scaling of AI applications. It is a fully managed platform that handles the complexities of AI infrastructure, providing serverless autoscaling as required during the development and production stages. The platform helps to ship models to production with advanced deployment options including online and shadow A/B testing, while also providing visibility through model performance monitoring. The platform integrates with an organization’s existing data stack and enables users to continuously deploy and improve models in production. The company offers its platform through a combination of subscription and usage-based model.In addition, BentoML also provides the following open-source platforms: 1) Yatai, for model deployment on Kubernetes and 2) bentoctl, for model deployment on any cloud platform.Key customers and partnershipsAs of January 2024, BentoML reported that over 1,000 organizations, comprising more than 3,000 members, use its platform. Its notable customers include Koo, Open Layer, Line, and Naver.The company entered into a strategic partnership with TomTom, a developer of location technology, to help integrate with various models as well as in LLM deployments.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/19684">USD 9 million in seed funding </a>in June 2023 led by DCM Ventures, with participation from Bow Capital. It aimed to channel the newly acquired funds to enhance its platform and offer developers a range of tools for building, deploying, and scaling AI applications efficiently.

BentoML

Iguazio provides a serverless platform based on its open-source Nuclio framework that helps users to develop, deploy, and manage real-time AI applications without requiring them to manually manage underlying infrastructures such as servers and storage. The platform creates real-time intelligence for applications located at the edge, public cloud, and on-premise data centers and reduces bandwidth constraints by consolidating data into a repository and making it available for applications as required. The platform can ingest and transform data from any source, which is then used to train, evaluate, deploy, and monitor models in production.The company leverages Big Data and ML software such as Apache Spark, TensorFlow, and Kubernetes to manage software containers that enable applications to run across different computing environments.Key customers and partnershipsIguazio serves customers in the financial services, telecommunications, smart mobility, manufacturing, retail, AdTech, gaming, healthcare, energy, and utilities sectors. Notable customers include Samsung, Microsoft, NVIDIA, AWS, Google, and Intel.Funding and financialsIn January 2020, the company raised USD 24 million in a funding round led by INCapital Ventures. The funds were utilized to accelerate its growth, expand its reach into new global markets, grow sales, and facilitate new sales channels that include companies such as Dell Technologies

Iguazio

Cogito Tech provides image and video annotation to generate computer vision training data sets for ML &amp; deep learning (DL). The video annotation solution leverages AI-powered tools to convert video into a sequence of images and generates training data sets for ML-based AI models, including self-driving cars and drones. The AI model understands and derives insights from visual data to detect, identify, classify, and track objects in an image or video. Cogito also provides virtual assistants and chatbots to help users in the process of training ML algorithms. Cogito Tech also provides high-quality, ethically sourced datasets that are compliant and reliable to train ML models.In addition, the company provides services to fine-tune LLMs and GenAI applications through reinforcement learning techniques as well as stress test models through red teaming.Key customers and partnershipsAs of December 2022, the company served more than 150 customers across 25 countries in the retail, medical, automotive, agriculture, robotics, smart cities, security, and manufacturing industries. Notable customers includes Verizon Media, The University of Sydney, National Geographic, Tumblr, and Vimeo.

Cogito Tech

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Includes companies that provide infrastructure to build AI/ML applications

Provides tools to build, monitor, and deploy GenAI applications

Industry is focused on offering platforms for other businesses to build AI-/ML-powered apps

H2O.ai is an artificial intelligence and machine learning company founded in 2011 by Sri Ambati and Cliff Click. The company's mission is to democratize AI by making it accessible and usable for businesses, government entities, non-profits, and academic institutions worldwide. H2O.ai offers a comprehensive suite of AI and machine learning tools, including its flagship product, the H2O AI Cloud, a fully managed AI platform that provides organizations with the capabilities to build, deploy, and manage AI models.
The company's open-source machine learning platform, known as H2O, is available under the Apache 2.0 license and serves as the foundation for many of its offerings. H2O.ai's product lineup includes H2O Driverless AI, an automated machine learning platform; H2O Wave, a low-code AI development framework; H2O MLOps for model management and deployment; and H2O Hydrogen Torch, a no-code deep learning tool for audio, image, video, and language processing.
H2O.ai's technology supports a wide range of algorithms and integrates with popular data science tools and frameworks such as Python, R, Hadoop, and Spark. The company's solutions are designed to handle various data types, including tabular, time series, text, audio, and image data. In February 2024, H2O.ai launched the H2O Gov GenAI App Store, showcasing dozens of public sector-related use cases utilizing large language models for tasks such as summarizing and analyzing regulatory frameworks, congressional hearings, and RFI proposals.

100ms is a live video infrastructure startup that provides tools for developers to integrate real-time audio and video conferencing capabilities into their applications. Founded in 2020 by former Disney+ Hotstar and Facebook executives, the company offers a suite of software development kits (SDKs) that allow businesses to add Zoom-like video conferencing and livestreaming features to their apps within hours. The platform supports features such as HD quality live video conferencing, cloud recording, screen sharing, mobile-first live streaming, and role-based permissions. 100ms caters to various industries including education, healthcare, fitness, live shopping, and virtual events. The company's technology handles complex audio-video edge cases, such as disconnection and network switch handling, automatic lowest latency server choice, and network degradation handling. As of March 2022, over 2,200 businesses had utilized 100ms' live video infrastructure, with the company experiencing 20x growth in usage metrics over the previous quarter.
Key customers and partnerships
100ms has attracted a diverse clientele across various sectors. Some of its notable customers include edtech platforms like WhiteHat Jr and FrontRow, community apps such as Circle and Kutumb, and live events platforms like Paytm Insider. The company's technology has been adopted by businesses looking to enhance their digital offerings with live video capabilities, ranging from online classrooms and virtual events to telehealth services and live commerce experiences.

100ms

Amplication is an open-source backend development platform that automates and streamlines the creation of server-side applications. The platform generates fully functional, human-readable, and editable apps based on TypeScript and Node.js, including components such as NestJS, Prisma, REST API, GraphQL API, React admin UI, authentication, and authorization. Launched in January 2021, Amplication aims to eliminate repetitive coding tasks and improve productivity in the development process while maintaining flexibility and customization options for developers. The platform supports various database systems, including MySQL, PostgreSQL, and MongoDB. In September 2022, Amplication introduced its Enterprise version, followed by the launch of Amplication Pro Plan in January 2023 for businesses requiring larger scale operations and advanced customization. The company also offers a free version for small projects and individual users within the open-source community.

Amplication

Appsmith is an open-source low-code application development platform that enables developers to build custom internal tools and applications quickly. Founded in 2019, the platform allows developers to create user interfaces using pre-built components, connect to various data sources and APIs, and customize functionality using JavaScript. Appsmith's core offerings include a drag-and-drop interface builder, pre-built UI widgets, database and API connectors, and the ability to write custom logic in JavaScript. The platform supports building applications like admin panels, dashboards, and CRUD (create, read, update, delete) interfaces.
As of February 2024, Appsmith's open-source software has been downloaded over 10 million times and is used by more than 10,000 organizations globally. The platform aims to reduce development time for internal applications by up to 90% compared to building from scratch. Appsmith offers both a free open-source Community Edition under the Apache 2.0 license as well as Commercial and Enterprise editions with additional features. The company has focused on developer-friendly features like Git integration for version control, an integrated JavaScript IDE, and the ability to import external JavaScript libraries.

Appsmith

Appcues is a product adoption and user onboarding platform for web and mobile apps. It enables product teams to create, implement, and test personalized in-app onboarding experiences without requiring coding skills. The platform's no-code builder allows users to design captivating in-app flows and onboarding journeys using various UI patterns such as modals, hotspots, tooltips, slideouts, and banners. Appcues helps companies improve user activation, conversion, and retention by providing features like user segmentation, interactive walkthroughs, and onboarding checklists.
The platform offers a drag-and-drop builder that lets users create personalized onboarding tours and checklists to assist and educate new users. Appcues supports various mobile environments, including Native Android, Native iOS, React Native, Flutter, and Ionic. Its segmentation capabilities allow companies to target individual user groups with personalized messaging and journeys based on factors like plan tier, lifecycle stage, and in-app activity.
Appcues provides analytics to track in-app flow performance and measure events, helping companies identify areas for improvement. The platform also includes A/B testing functionality to compare the performance of different onboarding flows and refine them based on user behavior. In addition to onboarding features, Appcues helps companies announce new product features and collect customer feedback through Net Promoter Score (NPS) surveys.

Appcues

Builder.ai is an AI-powered software development platform that enables businesses and individuals to create custom web and mobile applications without requiring technical knowledge. Founded in 2016 and headquartered in London, the company utilizes a modular approach to app development, breaking down software into reusable components that can be assembled like Lego blocks. Builder.ai's platform combines AI automation with a network of human designers and developers to deliver applications up to six times faster and 70% cheaper than traditional development methods. The company offers several products, including Builder Studio for custom app development, Builder Now for rapid prototyping, and Studio Store for pre-packaged ecommerce solutions. In 2022, Builder.ai reported a 300% increase in revenue and deployed over 40,000 features to customers. The platform's AI assistant, Natasha, acts as a virtual product manager to help guide users through the app development process. In May 2023, Microsoft announced plans to integrate Natasha into its Teams software as part of a strategic collaboration.
Key customers and partnerships
Builder.ai has formed partnerships with several major technology and financial enterprises. The company has collaborated with JP Morgan & Chase and Etisalat UAE. In 2022, Builder.ai partnered with Microsoft for a global go-to-market strategy and inclusion in their reseller program. The platform caters to businesses of various sizes, from entrepreneurs and small businesses looking to establish an online presence to large enterprises seeking custom software solutions.

Builder.ai

Platforms that allow enterprises to develop all types of multi-purpose applications for internal and/or external use

Platforms that allow businesses to develop applications to be used in specific industries, or have specific purposes

Platforms that enable users to build integrations to third-party software to connect applications to data sources, cloud services and custom API end points

Platforms that provide low-code solutions for building AI and ML models, and data analytics among other data science related activities that are traditionally programming intensive

Offers solutions for building internal applications and automations for enterprises

Many solutions enable users to leverage AI/ML for predictive analytics

Offers solutions for building enterprise-specific applications and automations

H2O.ai offers an end-to-end GenAI platform built for on-premise or cloud VPC deployments. It allows the connection of LLM/embedding models and scalable w/K8s and includes guardrails, summarization, cost controls, and customization options.The company provides two open-source projects, h2oGPT, an LLM fine-tuning framework with a chatbot UI for question-and-answer capabilities, and H2O LLM Studio, a framework and no-code platform for developers to fine-tune LLMs.&nbsp;In February 2024, <a href="http://h2o.ai">H2O.ai unveiled H2O-Danube-1.8B</a>, a small-scale natural language model developed for broad use in devices from smartphones to Internet-of-Things (IoT) gadgets. Additionally, the company announced H2O-Danube-1.8B-Chat, a model that has been specifically optimized for conversational applications. The model reportedly performs on par or better than other models in the 1 billion–2 billion parameter-size class across tasks like common sense reasoning, reading comprehension, summarization, and translation.In July 2024, H2O.ai <a href="https://sp-edge.com/updates/31838">launched the H2O-Danube3 series,</a> the latest addition to its suite of small language models which includes the H2O-Danube3-4 billion and the compact H2O-Danube3-500 million models.Key customers and partnershipsIn June 2024, H2O.<a href="https://sp-edge.com/updates/30138">ai partnered with Snowflake,</a> a cloud-based data and AI infrastructure company, to integrate H2O ML and GenAI Apps in Snowflake Marketplace.

<div>
 
 AI21 is an Israel-based AI research lab developing large language models (LLMs). The firm also builds GenAI applications based on its LLMs, marketing them to businesses and consumers.&nbsp;
 
 
 AI21 launched its first AI model, &ldquo;Jurassic-1,&rdquo; in August 2021, offering two versions. The larger variant, Jurassic-1 Jumbo, contained 178 billion parameters&mdash;three billion more than OpenAI&rsquo;s 175-billion parameter GPT-3 model. Similar to GPT-3, Jurassic is able to write emails and articles, summarize text, compose poetry and recipes, create website layouts, and generate code.&nbsp;
 
 
 The firm concurrently launched AI21 Studio, a platform allowing users to train custom versions of Jurassic-1 and embed them into products via an API.&nbsp;
 
 
 In May 2022, AI21 confirmed it was working on a new AI system, called the &ldquo;modular reasoning knowledge and language&rdquo; or &ldquo;MRKL&rdquo; framework (pronounced &ldquo;miracle&rdquo;). MRKL augments LLMs, connecting to external sources and symbolic reasoning models to enable the generation of accurate historical information, news on current events, and dynamic information, such as weather, exchange rates, and Wikipedia information. This allows models to accurately answer math queries by calling a calculator and navigate more complex questions by breaking down queries into parts. An initial implementation of MRKL, Jurassic-X, is available on AI21 Studio, which allows users to connect LLMs to their own databases and navigate their data using natural language.
 
 
 In March 2023, the firm launched &ldquo;Jurassic-2,&rdquo; a successor to its initial language model. The new LLM differs from Jurassic-1 and most popular LLMs, in that it incorporates semantic reasoning into its text generation processes alongside statistical inference, enabling the model to more reliably and accurately respond to queries.
 
 
 AI21 says this was achieved by training Jurassic-2 in two phases: A traditional self-supervised phase using an extensive corpus of unstructured and unlabeled data and a second phase, involving a large volume of labeled data to teach the model to follow instructions. Jurassic-2 did not initially implement the MRKL framework, although AI21 confirmed it as an upcoming feature.
 
 
 The company claims that its foundation models are 30% more efficient than those of other providers and it also does not charge additional fees for the use of fine-tuned models.
 
 
 
 
 In March 2024,
 <a href="https://sp-edge.com/updates/27995">
 AI21 launched Jamba,
 </a>
 a model that integrates the Mamba Structured State Space model (SSM) technology and transformer components. The company further introduced 
 <a href="https://sp-edge.com/updates/32879">
 Jamba 1.5 Mini and Jamba 1.5 Large
 </a>
 to offer high performance and efficiency for long-context language processing in August 2024. The models have a hybrid architecture combining Transformer and Mamba approaches, allowing for quality responses with large context windows.
 
 
 Key customers and partnerships
 
 
 As of June 2023, AI21&rsquo;s customers include Latitude, Easyway, Verb, Tweet Hunter, and Harambee.
 
</div>

AI21 Labs

UK-based Stability AI is actively involved in building AI applications and offers a range of foundation models, including:Text-to-image modelStable Diffusion (SDXL 1.0): The open-source text-to-image model incorporates a dual network architecture with a 3.5-billion parameter base model and a 6.6-billion parameter refiner. The model was trained on image-caption pairs from the LAION-5B dataset derived from Common Crawl data. It excels in high-quality image generation, spatial object positioning, and complex concept recognition. The model can be fine-tuned for specific tasks using techniques such as embeddings, hypernetworks, and tools like DreamBooth, a deep-learning generation model.<a href="https://sp-edge.com/updates/30420">Stable Diffusion 3 Medium:</a> a text-to-image open-source AI models with 2 billion parameters utilizing a Diffusion Transformer Architecture and can be fine-tuned using small datasets.&nbsp;<a href="https://sp-edge.com/updates/32260">Stable Fast 3D:</a> Text-to-image model generates 3D images from a single 2D image.&nbsp;In November 2023, the company launched <a href="https://sp-edge.com/updates/23352">two new products</a> Sky Replacer and Stable 3D. Sky Replacer lets users manipulate the aesthetic of the sky in their photos from a choice of nine alternatives, enhancing the overall image appeal and Stable 3D aims to simplify the process of creating textured 3D objects, from images or text prompts, into a quick, automatic activity.Text-to-text modelsStable Beluga 1: The instruction-following language model is based on LLaMA 65 billion and has reasoning capabilities.Stable Beluga 2 (FreeWilly): An expansion to Stable Beluga 1, this model is based on LLaMA 70 billion and reportedly ranks near the top of the Open LLM Leaderboard.StableLM is an open-source language model suite; the company has released alpha versions of three billion- and seven-billion parameter models, with 15 to 65 billion-parameter models to follow. It's designed to generate text and code, and can power various downstream applications. <a href="https://sp-edge.com/updates/25750">Stable LM 2 1.6B, </a>an AI language model designed for multiple languages, was released in January 2024.The Japanese StableLM Alpha, is a seven-billion parameter Japanese language model, which claims to have superior performance compared to other publicly available Japanese language models. It offers text generation capabilities and is released under the Apache License 2.0 for commercial use, with an additional research version available for research purposes.StableCode has three billion parameters and is specifically designed to help programmers with coding tasks by providing autocomplete suggestions and responses to programming instructions.Text-to-audio modelStable Audio, which has 907 million parameters, uses a latent diffusion model architecture for audio and is conditioned on various factors including text metadata, audio file duration, and start time. This conditioning allows control over the content and length of the generated audio.Text-to-image model<a href="https://sp-edge.com/updates/26910">Stable Diffusion 3,</a> which has 800 million range and 8 billion parameters and combines a diffusion transformer architecture and flow matching. Additionally, the model can depict multi-subject prompts, create images, and correct spelling. <a href="https://sp-edge.com/updates/30068">Public preview</a> of this model was announced in June 2024.<a href="https://sp-edge.com/updates/26645">Stable Cascade,</a> a text-to-image model developed with a three-phase approach for image creation and modification.Text-to-video model<a href="https://sp-edge.com/updates/24289">Stable Video Diffusion</a>, an AI model designed to produce videos from images, offered as a research preview. The models, SVD and SVD-XT, can generate short, high-quality clips but come with limitations.<a href="https://sp-edge.com/updates/27695">Stable Video 3D (SV3D), </a>a GenAI tool to create 3D videos to create multi-view 3D models from a single input image and can produce short video content from image or text prompts.<a href="https://sp-edge.com/updates/31945">Stable Video 4D,</a> a model that enables users to upload video and obtain dynamic videos from different views.&nbsp;There has been considerable debate about the ethical and copyright implications of using stable diffusion to create images. The model is particularly permissive when it comes to creating different types of content, which has raised concerns about its potential for abuse. In response to its permissiveness, Stability AI has become involved in copyright infringement lawsuits, with artists and Getty Images raising legal objections to the use of their content in the model's training data.In March 2024, <a href="https://sp-edge.com/updates/27872">Stability AI's founder and CEO, Emad Mostaque, resigned from his role </a>and the company's board to focus on the development of decentralized AI to bring transparency and competitiveness to AI.&nbsp;In April 2024, the company made Stable Diffusion 3 and Stable Diffusion 3 Turbo available on the <a href="https://sp-edge.com/updates/28612">Stability AI developer platform API.&nbsp;</a>In May 2024, Stability AI <a href="https://sp-edge.com/updates/29321">introduced Stable Artisan,</a> a tool to enable media generation for Discord users.&nbsp;Key customers and partnerships&nbsp;In December 2022, Stability AI entered a partnership with Amazon, with AWS designated as the preferred cloud provider to facilitate the development and expansion of Stability AI's AI models.In March 2024,<a href="https://sp-edge.com/updates/27403"> Stability AI partnered with Tripo AI,</a> a provider of AI 3D models, to release TripoSR for 3D object reconstruction to cater to the demands of entertainment, gaming, industrial design, and architecture professionals, with responsive outputs for visualizing detailed 3D objects.&nbsp;In April 2024, the company<a href="https://sp-edge.com/updates/28612"> partnered with Fireworks AI,</a> a provider of API platforms, to deliver Stable Diffusion 3 and Stable Diffusion 3 Turbo for enterprises.

Stability AI

Cohere is a Canadian startup founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, with backgrounds in natural language processing and prior experience at Google Brain. The firm specializes in the development and deployment of large language models (LLMs) for various applications across enterprise and business use cases. Its foundation model, Cohere Command, is a large natural language text generation model with 52.4 billion parameters, focused on task-oriented dialogue, creating summarization, copywriting, dialogue extraction, and question answering.&nbsp;Cohere also provides Cohere Embed, a model designed to generate vector embeddings that capture the essence of text, improving capabilities in search, content moderation, and intent recognition. These embeddings help empower Cohere's multilingual customizable models, which can be fine-tuned to cater to specific use cases and industries. Additionally, Cohere ensures secure deployment options, including private cloud solutions, for added data security and privacy. In November 2023, Cohere unveiled <a href="https://sp-edge.com/updates/23446">Embed V3</a> with advanced capabilities in matching documents to queries, increasing the efficiency of retrieval augmented generation, and reducing the operational costs of LLM applications. In February 2024, the company introduced <a href="https://sp-edge.com/updates/26583">Aya,</a> an open-source LLM that supports 101 languages.According to Stanford University's HELM benchmarks, Cohere's Command model ranks among the highest-performing models available.In March 2024,<a href="https://sp-edge.com/updates/27502"> Cohere released an advanced language model, “Command-R,</a>” for enterprises. The model offers improved performance on retrieval augmented generation (RAG) and tool usage, with longer context windows of up to 128,000 tokens.In April 2024, <a href="https://sp-edge.com/updates/28198">the company released an advanced language model, Command R+</a>, for business applications. The model offers enhanced retrieval augmented generation (RAG) with citation, supports 10 business languages, and automates workflows. Additionally, <a href="https://sp-edge.com/updates/28463">Cohere also released Rerank 3,</a> a model designed to enhance enterprise search and RAG systems. In the same month, <a href="https://sp-edge.com/updates/28509">the company also introduced a private beta for Cohere Compass,</a> a foundation embedding model designed to allow multi-aspect data indexing and searching, and also <a href="https://sp-edge.com/updates/28789">launched a toolkit available for developers to build AI applications</a> faster, offering production-ready applications that can be deployed across cloud providers, with enhanced security and customization options.In May 2024, Cohere introduced <a href="https://sp-edge.com/updates/29350">Command R Fine-Tuning</a> for enhanced performance for business application workload and<a href="https://sp-edge.com/updates/29761"> released Aya 23, </a>a multilingual language model capable of handling 23 languages,available in 8 billion and 35 billion parameters.Key customers and partnerships&nbsp;In November 2021, Cohere partnered with Google Cloud to leverage its infrastructure support and TPUs for product development and deployment. Cohere also partnered with other major cloud providers like AWS and Oracle.&nbsp;In March 2024,<a href="https://sp-edge.com/updates/27307"> Cohere partnered with consultancy firm Accenture</a> to integrate its Command model and retrieval augmented generation (RAG) capabilities to offer GenAI solutions for businesses.&nbsp;In April 2024, <a href="https://sp-edge.com/updates/28932">Cohere partnered with Amazon </a>to incorporate Command R+ and Command R to Amazon's cloud platform, Bedrock.In June 2024, the company<a href="https://sp-edge.com/updates/30492"> partnered with Borderless AI,</a> a provider of AI-powered HR solutions, to create tailored AI agents for HR tasks.&nbsp;The company entered into a <a href="https://sp-edge.com/updates/31052">strategic partnership with i-5O,</a> a provider of AI solutions for manufacturing, as part of Cohere's Startup Program and also partnered with <a href="https://sp-edge.com/updates/31590">Fujitsu</a> in July 2024 to develop a Japanese LLM.&nbsp;

Cohere

<div>
 
 Founded in 2022, Hippocratic AI is a healthcare-focused AI model developed by Health GPT. At its core, Hippocratic AI uses a state-of-the-art (SOTA) large language model (LLM) designed to improve healthcare processes, particularly in non-diagnostic tasks. Hippocratic AI aims to differentiate itself from traditional LLMs by prioritizing pre-training with trusted, evidence-based healthcare content rather than the broader Internet. Claimed to be the first safety-focused LLM for healthcare, the model undergoes a unique Reinforcement Learning with Human Feedback process, known as RLHF-HP, which involves working with healthcare professionals to validate its readiness for use. In addition, the model aims to incorporate a compassionate &ldquo;bedside manner&rdquo; in its interactions with patients, recognizing the impact of empathy on emotional wellbeing and health outcomes.
 
 
 According to the company, Hippocratic AI outperformed GPT-4 in majority of tests and certifications. Out of 114 evaluations, it outperformed GPT-4 in 105 cases, with a notable margin of +5% in 74 evaluations and +10% in 43 certifications.
 
 
 Key customers and partnerships&nbsp;
 
 
 In August 2023, the company launched the Hippocratic AI Founding Partner Program, an initiative through which the company collaborates with leading healthcare organizations to become founding partners and actively participate in the development and validation of Hippocratic AI's LLM and technology. The program includes establishing use cases, ensuring clinical and patient safety, and contributing to the advancement of healthcare-specific AI applications. In February 2024, these companies began 
 <a href="https://sp-edge.com/updates/27145">
 beta
 </a>
 testing their LLM for non-diagnostic applications in healthcare.
 
 
 In March 2024, 
 <a href="https://sp-edge.com/updates/27696">
 Hippocratic AI partnered with NVIDIA
 </a>
 to develop AI healthcare agents that have low-latency conversational interactions with patients.
 
 
 Funding and financials&nbsp;
 
 
 In March 2024, 
 <a href="https://sp-edge.com/updates/27694">
 the company raised USD 53 million
 </a>
 in a Series A funding round co-led by Premji Invest and General Catalyst to invest in Phase III safety tests of its LLM and further develop of products.
 
 
 
</div>

Hippocratic AI

<div>
 
 Founded in 2023, GenHealth.ai is a startup focused on advancing healthcare solutions through the use of GenAI. Its proprietary approach involves training a foundation transformer model, known as DOOG-E, on extensive healthcare data, including 50+ million of coded patient claims and clinical information. DOOG-E is a specialized Generative Pre-Trained Transformer (GPT) AI designed for healthcare applications, with 70 million parameters and one billion tokens. Unlike traditional large language models, DOOG-E is a large medical model (LMM) that uses medical events such as ICD, CPT, RxNorm, and LOINC codes as its &quot;language&quot; to predict future sequences of health events based on historical data.
 
 
 The company claims that its LMM, trained on medical data, is less prone to bias and hallucination compared to its GenAI, large language models (LLM), rendering it more dependable for healthcare applications.
 
 
 Funding and financials&nbsp;
 
 
 In July 2023, the company raised USD 13 million in early funding co-led by Craft Venture and Obvious Ventures. It planned to use the funds to support the development and expansion of its LMM for various healthcare applications, including risk adjustment, care management, and financial benchmarking.
 
 
 
</div>

GenHealth

Foundation models that can handle a range of natural language processing (NLP) use cases. Typical tasks include generating summaries, translating, answering questions, and classifying text. These models typically use text inputs and generate text outputs.

Fine-tuned versions of large language models, which are focused on specific tasks and applications (e.g. code generation, medical event prediction, financial NLP tasks, etc). These are usually developed by training LLMs using custom data and also serve as foundation models that can be developed even further. These models typically use text inputs and can generate text and/or code outputs.

Foundation models that translate visual data based on features and contextual information identified during training. This enables models to interpret images and video, applying those interpretations to predictive or decision-making tasks. Typical tasks include image recognition and classification into categories. These models typically use image and/or video inputs and generate text outputs.

Foundation models that are trained to understand and work with two or more forms of input data (e.g., text and images) to solve problems and complete tasks using both natural language processing and computer vision. These models can also generate outputs across textual and visual modalities. Typical tasks include visual question answering, image captioning, and generating images based on text descriptions. These models typically use text and/or visual inputs and generate text and/or visual outputs.

Foundation models that use big data to suggest or recommend additional products to consumers. These models are designed to predict user-item interaction probabilities and provide recommendations to users. The models are trained to make these inferences based on historical data on customer interactions and non-interactions. These models typically use user features, item features and user interactions as inputs, and generate numeric values like ratings predictions and matching probabilities as outputs.

Foundation models that are capable of automatic speech recognition, transcription in multiple languages, and translation from these languages to English. These are sometimes referred to as audio models. These models typically use speech/audio as inputs and generate text outputs.

Foundation models that transform user text prompts into video clips.

Foundation models that generate music from text descriptions.

All companies within the space are building large AI models

Companies in this space leverage NLP to train LLMs

The hub exclusively covers companies that have built foundation models

All companies within the space can leverage their foundation models for generative AI applications

The technology enables the creation of personalized content

PROMINENT_CATEGORY

<div>
 H2O.ai has introduced the H2O-Danube3 series, a new set of small language models. The series includes the H2O-Danube3-4 billion and the compact H2O-Danube3-500 million models, both available on Hugging Face.
 The H2O-Danube3-4 billion model, which was trained on 6 trillion tokens, has achieved a score of over 80% on the 10-shot HellaSwag benchmark, outperforming Apple's OpenELM-3 billion and matching Microsoft's Phi3 4 billion. The H2O-Danube3-500 million model, trained on 4 trillion tokens, has the highest scores in eight out of 12 academic benchmarks, outpacing similarly sized models like Alibaba's Qwen2.
 According to H2O.ai, the Danube3 series models are highly efficient and are designed for consumer hardware and Edge devices. These models can operate entirely offline on modern smartphones. The models are ideal for chatbot integration, task-specific fine-tuning, and offline usage scenarios.
</div>

H2O.ai

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