Nvidia

Gretel.ai is a San Diego-based company founded in 2019 that specializes in a multimodal synthetic data platform. The platform employs advanced generative AI and privacy-enhancing technologies to create artificial datasets that mimic the characteristics of real data. This allows developers to generate, test, and refine AI models without compromising individual privacy. Gretel's technology includes automatic data categorization and identification, enabling seamless labeling of customer identifiers such as names and addresses. By providing a secure environment for experimenting with customer data, Gretel facilitates collaboration among developers while ensuring compliance with privacy standards.

OpenAI is an artificial intelligence research and deployment company focused on developing machine learning technologies that aim to create safe artificial general intelligence for the benefit of all users. The company engages in projects related to autonomous learning and task performance across various industries, including technology, healthcare, and education. OpenAI's platform directs artificial intelligence applications and is involved in policy work, education, and outreach, enabling clients to enhance their skills and knowledge while leveraging autonomous systems that can surpass human performance in economically valuable tasks.

OctoAI is an AI infrastructure platform that assists developers in efficiently running, tuning, and scaling generative AI models. By providing a user-friendly interface with pre-built templates for popular open-source models like Stable Diffusion and LLaMA, OctoAI enables seamless deployment and fine-tuning of models. The platform emphasizes flexibility, allowing developers to utilize both off-the-shelf and custom models while ensuring cost-effective performance through model acceleration. Additionally, OctoAI offers automated technology that helps engineering teams deploy machine learning models across various hardware, cloud providers, and edge devices quickly. This managed service leverages machine learning to automate code generation and optimization, ensuring that models operate at peak efficiency and that deployments remain secure in multi-cloud environments. Founded in 2019 and based in Seattle, Washington, OctoAI aims to enhance the capabilities of machine learning engineers and organizations.

Scale AI, Inc. develops a data platform that specializes in providing training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers various annotation platforms, including Scale 3D Sensor Fusion for 3D sensor data, Scale Image for images, Scale Video for videos, Scale Text for text annotation, and Scale Document for intelligent document processing. These products facilitate a range of tasks such as content moderation, transcription, and data comparison across multiple sectors, including autonomous vehicles, e-commerce, conversational AI, and robotics. By enabling companies to focus on building advanced AI models rather than labeling data, Scale AI supports clients in accelerating the development of their artificial intelligence applications.

WEKA is an AI-native data platform company that provides a cloud and hardware-agnostic software solution for performance-intensive applications. Its WEKA® Data Platform enhances scalability and performance, transforming stagnant data silos into dynamic data pipelines that optimize enterprise AI, machine learning, and GPU workloads. The platform facilitates seamless data access across on-premises, cloud, edge, and hybrid multicloud environments. Serving hundreds of leading enterprises and renowned research organizations, including numerous Fortune 50 companies, WEKA addresses complex data challenges to accelerate discoveries, insights, and outcomes. The company's software-defined storage technology is tailored for high-performance and scalable file storage, making it beneficial for various industries such as life sciences, media and entertainment, financial services, and government.

Wayve is a company focused on developing a fully autonomous driving system for vehicles, utilizing end-to-end deep learning technology. This approach enables the creation of artificial intelligence capable of navigating complex driving scenarios across various urban environments. The company operates a fleet of electric vehicles equipped for autonomous operation, which facilitates technology development and real-world testing. Headquartered in London, Wayve aims to provide a scalable solution for autonomous driving that can adapt quickly and safely to new driving conditions globally.

Deci AI Ltd. is a technology company based in Givatayim, Israel, founded in 2019. It specializes in developing a deep learning acceleration platform designed to enhance the performance of AI models. This platform enables AI developers to build, optimize, and deploy models more efficiently across various environments, including cloud, edge, and mobile. With Deci's technology, developers can achieve a significant improvement in inference performance—between three to fifteen times faster—while maintaining accuracy. The platform leverages Automated Neural Architecture Construction (AutoNAC), which optimizes model architectures for specific hardware, thereby maximizing efficiency and reducing computational costs by up to 80%. Deci's innovations have led to impressive benchmarks, including an 11.8x speedup in inference on Intel CPUs, and the company has been recognized among the top 100 AI firms by CBInsights. Through its advanced solutions, Deci AI empowers developers to focus on creating impactful AI applications to address complex challenges.

Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. It specializes in developing an application software platform that enhances the management of artificial intelligence infrastructure by optimizing resource allocation and workload execution. The platform creates an abstraction layer using graph-based parallel computing algorithms, which enables organizations to efficiently utilize GPUs and other hardware for AI projects. By offering tools for workload scheduling and resource pooling, Run:AI facilitates faster development cycles and helps enterprises improve their AI capabilities. The company's focus on deep learning and compute virtualization allows clients to manage and accelerate their training workloads, ultimately reducing inefficiencies and enabling more cost-effective experimentation.

Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.

Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.

Essential AI specializes in developing language model-based software that enhances operational efficiency for enterprises. By automating labor-intensive and repetitive workflows, the company provides AI solutions that simplify complex tasks and improve productivity. Essential AI's software utilizes advanced machine learning and artificial intelligence models, enabling organizations to access these technologies in multiple languages. Through a combination of human feedback and technological advancements, the company's solutions empower users to unlock essential skills and amplify their impact on society.

Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.

Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.

CentML is a machine learning startup focused on providing optimization solutions for both ML inference and training processes. Its platform enables data scientists and engineers to identify and implement value optimizations, thereby reducing computational costs associated with machine learning workloads. By enhancing the efficiency of training and inference, CentML aims to make machine learning more accessible and affordable for a wider range of clients.

The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant, a multi-modal transformer model that predicts clinical outcomes from the earliest stages of discovery, and NeuralPLexer, the best-in-class predictor of protein and protein-ligand structures. The integration of physics principles into the platform’s AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multi-parameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated experimental execution, Iambic completes design-make-test cycles on a weekly cadence.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Enfabrica is a technology company focused on developing innovative hardware and software solutions aimed at addressing the performance and scalability challenges of artificial intelligence (AI) and accelerated computing workloads. The company specializes in converged networking and memory fabric silicon, which are designed to enhance system efficiencies and performance across various infrastructures, including hyper-scale cloud, edge computing, enterprise systems, and automotive applications. By incorporating advanced technologies such as compute express link, Enfabrica enables businesses to optimize resources and manage multiple graphics processing units effectively. Its products and foundational fabric technologies are geared towards meeting the increasing demands of modern computing environments, particularly in the realm of AI and machine learning.

Inceptive specializes in the design of RNA molecules through the integration of large-scale deep learning and high-throughput experiments. The company has developed a platform for biological software that facilitates the creation of synthetic molecules capable of performing complex biological functions. By focusing on the rational design of innovative medicines and biotechnologies, Inceptive aims to provide advancements in healthcare and biotechnology that were previously beyond reach.

Superluminal Medicines is a generative biological and chemical company accelerating new possibilities in drug discovery and development. Its platform quickly creates candidate-ready compounds using a comprehensive combination of deep biology and chemistry expertise, machine learning, and proprietary big data infrastructure. They leverage cutting-edge computational and machine-learning techniques to accelerate identifying and optimizing novel drug candidates. Their approach combines high-throughput experimental data with advanced algorithms to uncover therapeutic compounds faster and more efficiently than traditional methods.

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

Cohere is a platform that provides developers and businesses with access to natural language processing (NLP) capabilities, leveraging advanced large language models. The company's software enables machines to comprehend and interpret language effectively, facilitating the analysis of multiple web pages. This functionality helps users understand the meaning, sentiment, and tone of text, thereby enhancing comprehension abilities. By utilizing Cohere's technology, businesses can create more personalized user experiences, making information more accessible and intelligible.

Recursion Pharmaceuticals is a clinical-stage biotechnology company based in Salt Lake City, Utah, focused on transforming drug discovery through the integration of technology, particularly artificial intelligence, automation, and bioinformatics. Founded in 2013, the company utilizes a sophisticated drug discovery platform that includes various software solutions and robotic automation to enhance chemical compound selection, streamline experimental workflows, and evaluate drug efficacy. Key components of this platform involve tools for designing chemical compounds, planning complex experiments, and analyzing data to understand drug interactions and biological responses. By creating one of the largest proprietary biological and chemical datasets, Recursion aims to uncover new biological insights and expedite the development of innovative treatments, ultimately improving patient outcomes.

CoreWeave operates a cloud infrastructure platform that delivers computing power primarily for blockchain and artificial intelligence/machine learning projects. The company’s specialized GPU cloud system enhances workflows and allows clients to efficiently scale their operations according to the complexity of their models. This flexibility enables users to access tailored compute resources, facilitating innovation and adaptation to rapidly changing computational needs. CoreWeave's platform is designed to support a variety of initiatives, making it a valuable resource for enterprises seeking to optimize their technological capabilities.

Adept AI is a research and product AI lab that automates software processes for developers. It's similar to robotic process automation (RPA), or software robots that use a combination of automation, computer vision, and machine learning to automate repetitive tasks like filing forms and responding to emails. Adept is creating general intelligence by allowing humans and computers to collaborate creatively.

Cohere is a platform that provides developers and businesses with access to natural language processing (NLP) capabilities, leveraging advanced large language models. The company's software enables machines to comprehend and interpret language effectively, facilitating the analysis of multiple web pages. This functionality helps users understand the meaning, sentiment, and tone of text, thereby enhancing comprehension abilities. By utilizing Cohere's technology, businesses can create more personalized user experiences, making information more accessible and intelligible.

Deepgram, Inc. develops artificial intelligence-based automatic speech recognition solutions, offering a platform that enables enterprises to label, train, and deploy speech recognition models. This platform allows users to convert audio data into text, facilitating the extraction of insights and automation of actions. Deepgram also provides APIs for speech-to-text, text-to-speech, and language understanding, making it suitable for a variety of applications, including medical transcription and autonomous agents. The technology supports keyword searches in transcripts by both sound and text, enhancing the usability of audio and video files for transcribing calls, meetings, and voicemails. Founded in 2015 and headquartered in San Francisco, California, Deepgram serves individual developers and Fortune 500 companies, focusing on delivering scalable and effective voice AI experiences.

WEKA is an AI-native data platform company that provides a cloud and hardware-agnostic software solution for performance-intensive applications. Its WEKA® Data Platform enhances scalability and performance, transforming stagnant data silos into dynamic data pipelines that optimize enterprise AI, machine learning, and GPU workloads. The platform facilitates seamless data access across on-premises, cloud, edge, and hybrid multicloud environments. Serving hundreds of leading enterprises and renowned research organizations, including numerous Fortune 50 companies, WEKA addresses complex data challenges to accelerate discoveries, insights, and outcomes. The company's software-defined storage technology is tailored for high-performance and scalable file storage, making it beneficial for various industries such as life sciences, media and entertainment, financial services, and government.

Grid.ai, Inc. is a technology company that provides a platform for training artificial intelligence (AI) models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). Founded in 2019 and headquartered in New York, the company offers tools such as Grid Train, which facilitates AI research by simplifying model training and iteration, and Grid View, a web application for monitoring and managing infrastructure. Additionally, it provides Tensorboard for experiment analysis. Grid.ai aims to support machine learning engineers, data scientists, and AI researchers by enabling the development of advanced AI models and end-to-end machine learning systems, known as Lightning Apps, that are multi-cloud and fault-tolerant. The company gained significant funding in October 2020, which has bolstered its mission to enhance AI capabilities for users.

Animatico is a developer of an artificial intelligence-powered human-computer interface platform that specializes in creating interactive avatar guides. These avatars assist users with various customer service tasks by combining voice technology and machine learning-driven character animations. The platform enables avatars to hear, see, and respond to users through voice, gestures, and expressions, providing appropriate verbal, nonverbal, and visual reactions. By bringing characters to life on screens, Animatico adds a human touch that enhances user engagement and connection, ultimately helping clients attract customers and improve their overall experience.

WEKA is an AI-native data platform company that provides a cloud and hardware-agnostic software solution for performance-intensive applications. Its WEKA® Data Platform enhances scalability and performance, transforming stagnant data silos into dynamic data pipelines that optimize enterprise AI, machine learning, and GPU workloads. The platform facilitates seamless data access across on-premises, cloud, edge, and hybrid multicloud environments. Serving hundreds of leading enterprises and renowned research organizations, including numerous Fortune 50 companies, WEKA addresses complex data challenges to accelerate discoveries, insights, and outcomes. The company's software-defined storage technology is tailored for high-performance and scalable file storage, making it beneficial for various industries such as life sciences, media and entertainment, financial services, and government.

H2O.ai, Inc. is a company focused on democratizing artificial intelligence through its open-source machine learning and predictive analytics platform. Established in 2011 and headquartered in Mountain View, California, H2O.ai offers various tools, including the H2O platform for data scientists and developers, H2O Driverless AI for automated machine learning, and H2O Wave for real-time application development powered by AI. The company's services encompass marketing mix modeling, risk and fraud analysis, and customer intelligence solutions. H2O.ai supports over 20,000 global organizations, including many Fortune 500 companies, and has established strategic partnerships with firms like Alteryx, Goldman Sachs, and NVIDIA. The organization is recognized for its high Net Promoter Score, reflecting customer satisfaction, and boasts a team that includes some of the world’s leading machine learning practitioners. H2O.ai is committed to promoting responsible AI practices and contributing positively to society.

Saturn Cloud, Inc. is a New York-based company that specializes in developing a data science platform designed to streamline the process of building artificial intelligence (AI) and machine learning (ML) models in the cloud. Incorporated in 2019, the platform utilizes a parallel computing library called Dask, allowing data scientists to efficiently perform analytics and data science tasks. Saturn Cloud supports multiple programming languages, including Python and R, and provides high-memory computing and GPU processing capabilities. Its features include automation tools for one-click publishing and sharing, which significantly reduce the time and effort required for traditional data science workflows. Companies such as NVIDIA, Nestle, and Mercury Insurance utilize Saturn Cloud to enhance their data-driven initiatives.

DeepMap, Inc. is a technology company that specializes in high-definition (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Parabricks specializes in high-performance genomic analysis software that leverages GPU acceleration and machine learning to enable rapid processing of next-generation sequencing data. The company's technology allows for whole human genome sequencing in under an hour, significantly reducing the time and cost associated with genomic analysis. By providing fast, efficient, and low-cost solutions for genomic data processing, Parabricks enhances the throughput of healthcare facilities, facilitating personalized treatment based on individual genomic variations. This innovative approach has the potential to transform healthcare practices by improving the speed and efficiency of genetic analysis, ultimately leading to better patient outcomes.

WEKA is an AI-native data platform company that provides a cloud and hardware-agnostic software solution for performance-intensive applications. Its WEKA® Data Platform enhances scalability and performance, transforming stagnant data silos into dynamic data pipelines that optimize enterprise AI, machine learning, and GPU workloads. The platform facilitates seamless data access across on-premises, cloud, edge, and hybrid multicloud environments. Serving hundreds of leading enterprises and renowned research organizations, including numerous Fortune 50 companies, WEKA addresses complex data challenges to accelerate discoveries, insights, and outcomes. The company's software-defined storage technology is tailored for high-performance and scalable file storage, making it beneficial for various industries such as life sciences, media and entertainment, financial services, and government.

ABEJA, Inc. is a Japanese company that specializes in artificial intelligence software tailored for retailers and manufacturers. Founded in 2012 and based in Minato-Ku, the company offers a cloud-based platform that integrates advanced technologies such as IoT, big data, and deep learning. ABEJA's services encompass data collection, analysis, automation, simulation, and visualization, enabling sophisticated analyses and optimized solutions across various industries, particularly in retail, manufacturing, and infrastructure. The platform supports the entire machine learning and deep learning pipeline, facilitating development, deployment, and ongoing operations to drive digital transformation for its clients.

Deep Instinct Ltd. is a cybersecurity company founded in 2014 and headquartered in Tel Aviv, Israel, with an additional office in New York. The company specializes in providing a cybersecurity solution that utilizes deep learning technology to offer on-device and real-time detection and prevention of advanced persistent threats and zero-day attacks. Its platform is designed to protect various mobile devices, endpoints, and operating systems against unknown and evasive cyber threats, regardless of whether they are connected to the network or the Internet. By leveraging the predictive capabilities of deep learning, Deep Instinct enables enterprises to identify and block cyber-attacks in real-time, ensuring comprehensive protection and reducing the risks associated with malware and other threats.

The IFDAQ (International Fashion Digital Automated Quantification) is the most advanced and powerful AI system that provides quantitative market values for anyone and everything in the fashion and luxury industry. The IFDAQ values come from an intelligent ecosystem that creates a high-dimensional virtual image of the fashion industry and measures the effective market value based on the relative performance in the industry. Unprecedented scientific in-depth analytics and infinite insights tell you the real market and benchmark value, power, trend and influence of everything that counts in fashion: from the fashion group to their brands ad campaign, from the the fashion model to the fashion magazine – right down to the value of a single catwalk run or the fragment of an image. IFDAQ focuses on the development of artificial intelligence solutions to obtain analytics and research about the fashion industry. IFDAQ was a research project that started in 2008 and turned into a startup venture in 2016. IFDAQ is founded by Daryl de Jori in 2008 and is located in Vienna, Wien, Austria.

ABEJA, Inc. is a Japanese company that specializes in artificial intelligence software tailored for retailers and manufacturers. Founded in 2012 and based in Minato-Ku, the company offers a cloud-based platform that integrates advanced technologies such as IoT, big data, and deep learning. ABEJA's services encompass data collection, analysis, automation, simulation, and visualization, enabling sophisticated analyses and optimized solutions across various industries, particularly in retail, manufacturing, and infrastructure. The platform supports the entire machine learning and deep learning pipeline, facilitating development, deployment, and ongoing operations to drive digital transformation for its clients.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.

MotionDSP is a Silicon Valley-based company making advanced computer vision and image processing software that helps companies extract critical information from real-time video to answer high-stakes questions. Pair expert FMV (drone) analysts with the best image processing engineers and you’ve got an unbeatable ally in your quest to extract valuable information from your video. MotionDSP uses deep IP to dramatically improve the fidelity of video captured by a wide range of sources: from surveillance cameras to drones and manned surveillance aircraft in commercial, law enforcement, commercial security and military applications. MotionDSP is used by organizations like NCIS, US Special Operations, and Scotland Yard — organizations that make high-stakes decisions (often life or death). No one has more riding on getting the right answer fast. Hear some of our customer stories. MotionDSP is headquartered in Burlingame, California and is led by an experienced management team, trained at Stanford University and the United States Naval Academy. With subject matter experts and the brightest engineers in their fields, MotionDSP creates powerful solutions to the industry's toughest problems.