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.

GamerBoom is a technology company that specializes in developing an AI-driven platform for gaming data analytics, built on the Solana blockchain. The platform monitors and rewards users' in-game interactions, enhancing their overall gaming experience.

Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

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.

GamerBoom is a technology company that specializes in developing an AI-driven platform for gaming data analytics, built on the Solana blockchain. The platform monitors and rewards users' in-game interactions, enhancing their overall gaming experience.

Databricks Inc. is a technology company that provides a unified data analytics cloud platform designed to facilitate data engineering and collaborative data science. The company offers a comprehensive suite of tools, including a just-in-time data platform that simplifies data integration, real-time experimentation, and deployment of production applications for developers and data scientists. Key products include Databricks Delta, which combines the capabilities of data warehouses with low-latency streaming, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, manufacturing, and telecommunications, and has established strategic partnerships with various organizations to enhance its offerings. Founded in 2013, Databricks is headquartered in San Francisco, California, with additional offices in London, Amsterdam, and Bengaluru.

Recursion Pharmaceuticals, Inc. is a clinical-stage biotechnology company based in Salt Lake City, Utah, that focuses on revolutionizing drug discovery through the integration of advanced technologies such as artificial intelligence, automation, and bioinformatics. Founded in 2013, the company has developed a comprehensive drug discovery platform that includes various tools and software, such as ReChem for chemical compound design, ReScreen for managing complex experimental workflows, and RePredict for modeling drug relationships using machine learning. These innovations enable Recursion to generate extensive biological and chemical datasets, facilitating the exploration of foundational biology and accelerating the development of new therapeutic solutions. Through its unique approach, Recursion aims to significantly enhance patient outcomes and streamline the drug discovery process.

OmniML is a San Jose-based enterprise focused on advancing edge artificial intelligence (AI) by developing machine learning models tailored for specific hardware. The company specializes in creating compact and efficient neural architectures that enhance the performance of AI applications on edge devices. By optimizing these models for mobile environments, OmniML allows clients to achieve significant improvements in speed and accuracy, with machine learning tasks reportedly running ten times faster than traditional methods. Its initial collaborations with major enterprises across various sectors have demonstrated substantial gains in model performance and cost reduction, making OmniML a key player in the evolution of edge AI technology.

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.

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.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

DeepMap, Inc. is a technology company that specializes in high-definition mapping and localization solutions for autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company focuses on enabling safe navigation in complex driving environments. DeepMap offers precise HD maps and ultra-accurate real-time localization, which are essential for self-driving cars to operate effectively across various road types and conditions. The company's solutions also include a robust infrastructure designed to support large-scale deployments of autonomous technology, thereby enhancing the safety and efficiency of self-driving vehicles.

VAST Data, Inc. specializes in developing innovative data storage solutions, offering a universal storage platform that integrates Intel’s Optane SSDs as a cache for data stored on quad-level cell (QLC) SSDs. Founded in 2016 and headquartered in New York, with an additional office in San Jose, VAST Data serves various industries, including animation, visual effects, deep learning, and enterprise backup recovery. The platform is designed to accelerate time-to-insight for workload-intensive applications, providing scalable performance, simple data management, and improved productivity for AI-driven organizations. Since its launch in 2019, VAST Data has gained recognition as a rapidly growing player in the data infrastructure sector.

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.

IFDAQ, or International Fashion Digital Automated Quantification, is an advanced AI system that delivers quantitative market values across the fashion and luxury sectors. By creating a high-dimensional virtual representation of the fashion industry, IFDAQ analyzes and measures effective market values based on relative performance. Its comprehensive analytics provide insights into various elements of the fashion landscape, including fashion groups, brand campaigns, models, and even individual catwalk runs or image fragments. Established initially as a research project in 2008, IFDAQ transitioned into a startup in 2016, focusing on developing artificial intelligence solutions to enhance analytics and research in the fashion industry.