Coatue

Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.

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.

Harvey is an artificial intelligence technology service provider for knowledge workers. It uses AI to answer legal questions and lands cash from OpenAI. The product provides lawyers with a natural language interface for their existing legal workflow. It offers a unified and intuitive interface for all legal workflows, allowing lawyers to describe tasks in plain English instead of using a suite of complex and specialized tools for niche tasks. Harvey was founded in 2022 and is based in Washington, DC.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

CoreWeave is a company that specializes in developing a cloud infrastructure platform aimed at providing powerful computing resources for artificial intelligence/machine learning (AI/ML) projects and other initiatives. Their platform features a specialized GPU cloud system designed to accelerate workflows by matching the complexity of models, allowing clients to scale efficiently and adapt to rapidly changing compute requirements. This enables clients to design and innovate with various types of compute resources tailored to their specific needs.

Distyl AI specializes in helping organizations enhance their readiness for artificial intelligence by developing customized AI solutions that align with their specific data, workflows, and workforce needs. The company offers a generative AI solutions platform that supports major institutions in adopting foundational models and preparing for AI integration. By collaborating with leading organizations globally, Distyl AI aims to create reliable and seamlessly integrated AI-driven services, enabling enterprises to thrive in an increasingly AI-assisted economy.

CoreWeave is a company that specializes in developing a cloud infrastructure platform aimed at providing powerful computing resources for artificial intelligence/machine learning (AI/ML) projects and other initiatives. Their platform features a specialized GPU cloud system designed to accelerate workflows by matching the complexity of models, allowing clients to scale efficiently and adapt to rapidly changing compute requirements. This enables clients to design and innovate with various types of compute resources tailored to their specific needs.

CoreWeave is a company that specializes in developing a cloud infrastructure platform aimed at providing powerful computing resources for artificial intelligence/machine learning (AI/ML) projects and other initiatives. Their platform features a specialized GPU cloud system designed to accelerate workflows by matching the complexity of models, allowing clients to scale efficiently and adapt to rapidly changing compute requirements. This enables clients to design and innovate with various types of compute resources tailored to their specific needs.

Iambic Therapeutics focuses on accelerating molecular discovery through its innovative quantum molecular simulation engine. By integrating artificial intelligence and automated synthetic development, the company aims to enhance the design of small-molecule therapeutics. This technology significantly improves the accuracy of molecular predictions, providing valuable insights for therapeutic discovery. Iambic Therapeutics is committed to transforming the drug development process, enabling physicians to access more precise molecular data and ultimately improving treatment outcomes.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

Iambic Therapeutics focuses on accelerating molecular discovery through its innovative quantum molecular simulation engine. By integrating artificial intelligence and automated synthetic development, the company aims to enhance the design of small-molecule therapeutics. This technology significantly improves the accuracy of molecular predictions, providing valuable insights for therapeutic discovery. Iambic Therapeutics is committed to transforming the drug development process, enabling physicians to access more precise molecular data and ultimately improving treatment outcomes.

Weights & Biases, Inc., established in 2017 and headquartered in San Francisco, specializes in developing tools for machine learning developers. Its core product is an AI platform that aids users in visualizing and debugging machine learning models, facilitating the transformation of deep learning research projects into deployed software. The company helps teams track and optimize their models, automate training processes, and improve model performance through intuitive performance visualization tools.

CoreWeave is a company that specializes in developing a cloud infrastructure platform aimed at providing powerful computing resources for artificial intelligence/machine learning (AI/ML) projects and other initiatives. Their platform features a specialized GPU cloud system designed to accelerate workflows by matching the complexity of models, allowing clients to scale efficiently and adapt to rapidly changing compute requirements. This enables clients to design and innovate with various types of compute resources tailored to their specific needs.

Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.

Distyl AI specializes in helping organizations enhance their readiness for artificial intelligence by developing customized AI solutions that align with their specific data, workflows, and workforce needs. The company offers a generative AI solutions platform that supports major institutions in adopting foundational models and preparing for AI integration. By collaborating with leading organizations globally, Distyl AI aims to create reliable and seamlessly integrated AI-driven services, enabling enterprises to thrive in an increasingly AI-assisted economy.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

Lindy is an AI assistant that can help with all your tasks, from calendar management and email drafting to contract sending and beyond.

Stability AI is a startup specializing in artificial intelligence-driven visual art. It designs and develops open AI tools, focusing on creating open models for various media types such as images, videos, 3D, and audio. The company fosters a global community of experts and partners, promoting collaboration in AI tool development.

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.

LatchBio is a company that specializes in developing a bioinformatics platform aimed at supporting cell and gene therapy startups. Established in 2021 by Alfredo Andere, Kyle Giffin, and Kenny Workman, LatchBio provides an open-source machine learning and cloud infrastructure tailored for the biotech sector. Its platform modernizes the computing capabilities available to biotech labs by offering custom workflows, pipelines, and machine learning models that can be utilized across various scales. This infrastructure enables scientists to efficiently create bioinformatic queries without requiring extensive command-line knowledge or dealing with complex setups. By streamlining data integration and processing, LatchBio helps biotech companies accelerate therapeutic discovery and reduce engineering costs.

Hugging Face, established in 2016 and based in New York, specializes in open-source machine learning technologies. It operates a platform that facilitates collaboration on machine learning projects, including models, datasets, and applications. The company aims to democratize machine learning by providing tools and services that support and advance the field, while also offering paid computing and enterprise systems to accelerate development.

TWAICE is a battery analytics company that specializes in predictive software aimed at enhancing the development and management of lithium-ion batteries. Its primary offering is a digital twin technology that integrates extensive battery knowledge with artificial intelligence to assess the condition of batteries and forecast their aging and performance. This innovative approach provides users with real-time insights into battery systems, particularly in electric vehicles, allowing manufacturers and integrators to optimize system configurations and validate the reliability of their battery systems. By improving transparency and predictability, TWAICE's solutions contribute to the effectiveness and longevity of complex battery technologies.

DeepJudge is an AI-powered legal document processing platform designed to enhance the efficiency of legal professionals by automating the analysis of legal language. Founded by four PhDs with extensive experience in Machine Learning and Natural Language Processing, DeepJudge leverages advanced algorithms to highlight important information and documents. By integrating external data sources, such as legal codes, court rulings, and commercial registries, the platform enables lawyers to streamline repetitive tasks, ultimately improving the quality of their outcomes. The company is backed by a team of distinguished advisors from both academia and industry, contributing to its innovative approach in the legal technology sector.

Edge Impulse is a software platform that facilitates the development of machine learning models optimized for edge devices, where data is collected either with or without connectivity. The platform streamlines the entire process of building, deploying, and scaling embedded machine learning applications, enabling developers to create intelligent devices. It supports the collection of real sensor data and incorporates live signal processing, allowing for the transformation of raw data into neural networks. Additionally, Edge Impulse offers capabilities for model testing and deployment to a variety of target devices, from microcontrollers to CPUs and GPUs, making it easier and faster for developers to manage machine learning applications for the edge.

Deliverr, Inc. is a San Francisco-based company founded in 2017 that specializes in order fulfillment services for e-commerce retailers. The company provides shipping solutions designed to help online businesses meet shipping standards and avoid penalties associated with late shipments. By leveraging machine learning and predictive intelligence, Deliverr's platform enables sellers to offer various shipping options and access services such as warehousing, order handling, and packaging. This tech-enabled approach allows sellers of all sizes to fulfill orders efficiently, improve customer satisfaction, and expand their market reach through fast and cost-effective fulfillment solutions.

Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Weights & Biases, Inc., established in 2017 and headquartered in San Francisco, specializes in developing tools for machine learning developers. Its core product is an AI platform that aids users in visualizing and debugging machine learning models, facilitating the transformation of deep learning research projects into deployed software. The company helps teams track and optimize their models, automate training processes, and improve model performance through intuitive performance visualization tools.

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.

Bigeye is a developer of a data observability platform that focuses on enhancing data quality for businesses. The company's services enable sales teams to monitor and analyze data integrity across various environments. Featuring capabilities such as anomaly detection, lineage tracking, and automated monitoring, Bigeye ensures that organizations can maintain high standards of data quality. The platform employs machine learning algorithms for automated data checks, providing comprehensive coverage and insights that support informed decision-making. By integrating with multiple data sources, Bigeye helps clients prevent the inclusion of erroneous data in critical applications.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

Checkr, Inc. is a technology-driven company focused on the background check industry, offering a comprehensive range of screening services, including criminal record checks, driving checks, and identity verification. Founded in 2014 and headquartered in San Francisco, California, Checkr utilizes advanced technology and data sources to deliver faster and more efficient background checks compared to traditional providers. The company emphasizes fairness and transparency in hiring, enabling businesses across various sectors, including financial services, healthcare, and staffing, to enhance their hiring processes. Checkr also provides compliance services and security solutions, ensuring a secure and streamlined experience for both employers and candidates. With its innovative platform, Checkr aims to improve the overall applicant experience while supporting companies in navigating the complexities of today's workforce dynamics.

Knowde operates an online marketplace focused on the chemical industry, enhancing the accessibility of trading chemicals, polymers, and industrial ingredients. Its platform utilizes advanced technologies, including deep learning and self-learning data models, to facilitate the search, filtering, sampling, quoting, and purchasing of products tailored to client specifications. By offering a comprehensive chemical taxonomy, Knowde empowers global chemical producers and distributors to transform their operations digitally. This innovative approach allows clients to compare and access products from suppliers worldwide, streamlining the procurement process in the chemical sector. The company has garnered support from prominent investors, highlighting its potential in revolutionizing how chemical transactions are conducted.

LiveControl revolutionizes video production by moving it into the cloud, utilizing AI and Machine Learning to simplify the process. The company provides remote videography services that allow users to live stream and capture high-quality content effortlessly. Clients, including universities, jazz clubs, and Broadway theaters, benefit from the ability to automate and manage their productions from anywhere in the world. By seamlessly integrating with various live streaming platforms, LiveControl enables videographers to operate cameras in real-time, making it possible for clients to host events at a significantly reduced cost.

Iambic Therapeutics focuses on accelerating molecular discovery through its innovative quantum molecular simulation engine. By integrating artificial intelligence and automated synthetic development, the company aims to enhance the design of small-molecule therapeutics. This technology significantly improves the accuracy of molecular predictions, providing valuable insights for therapeutic discovery. Iambic Therapeutics is committed to transforming the drug development process, enabling physicians to access more precise molecular data and ultimately improving treatment outcomes.

WeaveGrid is a technology company focused on facilitating the integration of electric vehicles (EV) with the power grid. By employing machine learning, optimization, and predictive analytics, WeaveGrid's software addresses the challenges associated with EV-grid integration for utility companies. This innovative solution not only enhances the incorporation of renewable energy resources but also aims to reduce costs for utility customers. The company's efforts support the broader goals of decarbonization in the transportation and power sectors, enabling utilities to safely and economically adapt to the growing demand for electric vehicles.

Unsupervised is a company that specializes in artificial intelligence, focusing on an innovative engine based on unsupervised learning to uncover hidden insights within complex data. Founded in 2017 and headquartered in Boulder, Colorado, Unsupervised has developed a platform that automatically identifies significant patterns in data without the need for human guidance. This automated analytics platform enables businesses to analyze large datasets and recognize emerging trends, facilitating a better understanding of fluctuations in key performance indicators (KPIs). By providing actionable insights, Unsupervised empowers organizations to make informed, data-driven decisions without requiring extensive data science expertise.

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.

Scale AI, Inc. is a data platform provider specializing in training and validation data for artificial intelligence applications. Founded in 2016 and headquartered in San Francisco, the company offers various annotation tools including Scale Image for image data, Scale Video for video data, Scale Text for text data, and Scale Document for intelligent document processing. Its advanced platform also includes Scale Nucleus, which helps manage user data. Scale AI's products support a wide range of sectors, such as autonomous vehicles, retail, conversational AI, and robotics, facilitating tasks like content moderation and transcription. By focusing on providing high-quality labeled data, Scale AI enables organizations to accelerate the development of AI technologies, allowing clients to concentrate on building innovative models rather than data preparation.

Deliverr, Inc. is a San Francisco-based company founded in 2017 that specializes in order fulfillment services for e-commerce retailers. The company provides shipping solutions designed to help online businesses meet shipping standards and avoid penalties associated with late shipments. By leveraging machine learning and predictive intelligence, Deliverr's platform enables sellers to offer various shipping options and access services such as warehousing, order handling, and packaging. This tech-enabled approach allows sellers of all sizes to fulfill orders efficiently, improve customer satisfaction, and expand their market reach through fast and cost-effective fulfillment solutions.

Weights & Biases, Inc., established in 2017 and headquartered in San Francisco, specializes in developing tools for machine learning developers. Its core product is an AI platform that aids users in visualizing and debugging machine learning models, facilitating the transformation of deep learning research projects into deployed software. The company helps teams track and optimize their models, automate training processes, and improve model performance through intuitive performance visualization tools.

Ghost Autonomy is focused on making self-driving technology accessible to the consumer car market. The company develops a software-defined autonomous driving platform that leverages advancements in artificial intelligence to ensure highway autonomy is both safe and scalable. Its platform includes AI-enabled software that encompasses a perception system, planning and decision-making algorithms, and vehicle control software. This comprehensive offering allows automakers and suppliers to integrate autonomous driving capabilities into their vehicles efficiently, minimizing the need for extensive hardware modifications. Through its innovative approach, Ghost aims to facilitate the widespread adoption of autonomous driving technology in everyday vehicles.

Abacus.AI, Inc. is a San Francisco-based company that specializes in cloud-based artificial intelligence services. Founded in 2019, it focuses on helping organizations design, train, and implement machine and deep learning models tailored to various business needs. The company's platform enables businesses to integrate customizable deep learning systems into their existing processes and customer experiences. Abacus.AI offers a range of solutions, including AI for IT operations, marketing and sales, fraud detection, recommendation systems, forecasting, and predictive modeling. Its autonomous AI platform is designed to support common enterprise applications, such as churn prediction and time-series forecasting, facilitating the creation of state-of-the-art, real-time AI solutions for clients.

Stratify Technologies offers a real-time budgeting and forecasting platform that enhances financial planning through machine learning. The platform identifies performance gaps, quantifies financial impacts, and generates revised forecast scenarios, allowing key stakeholders to align and monitor actual financial and operational performance against budget assumptions. By providing a comprehensive view of financial data, Stratify enables organizations to adopt a continuous planning model, facilitating improved strategic decision-making in their budgeting processes.

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.

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.

Checkr, Inc. is a technology-driven company focused on the background check industry, offering a comprehensive range of screening services, including criminal record checks, driving checks, and identity verification. Founded in 2014 and headquartered in San Francisco, California, Checkr utilizes advanced technology and data sources to deliver faster and more efficient background checks compared to traditional providers. The company emphasizes fairness and transparency in hiring, enabling businesses across various sectors, including financial services, healthcare, and staffing, to enhance their hiring processes. Checkr also provides compliance services and security solutions, ensuring a secure and streamlined experience for both employers and candidates. With its innovative platform, Checkr aims to improve the overall applicant experience while supporting companies in navigating the complexities of today's workforce dynamics.

Scale AI, Inc. is a data platform provider specializing in training and validation data for artificial intelligence applications. Founded in 2016 and headquartered in San Francisco, the company offers various annotation tools including Scale Image for image data, Scale Video for video data, Scale Text for text data, and Scale Document for intelligent document processing. Its advanced platform also includes Scale Nucleus, which helps manage user data. Scale AI's products support a wide range of sectors, such as autonomous vehicles, retail, conversational AI, and robotics, facilitating tasks like content moderation and transcription. By focusing on providing high-quality labeled data, Scale AI enables organizations to accelerate the development of AI technologies, allowing clients to concentrate on building innovative models rather than data preparation.

Weights & Biases, Inc., established in 2017 and headquartered in San Francisco, specializes in developing tools for machine learning developers. Its core product is an AI platform that aids users in visualizing and debugging machine learning models, facilitating the transformation of deep learning research projects into deployed software. The company helps teams track and optimize their models, automate training processes, and improve model performance through intuitive performance visualization tools.

Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Impira, Inc. is a technology company based in San Francisco that specializes in managing unstructured data through its artificial intelligence platform. Founded in 2017, Impira offers a solution that integrates with existing systems to consolidate various data sources, including product information, images, and documents. Its primary product streamlines workflows by automating the extraction and organization of data from files such as PDFs and scanned documents, enabling nontechnical users to easily retrieve structured information. Additionally, the company provides Mango, a platform specifically designed for searching contracts and extracting key fields like party names and effective dates. By employing machine learning and computer vision, Impira enhances the efficiency of data management and supports users in focusing on more strategic tasks, ultimately improving productivity and workplace morale.

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.

Cerebras Systems Inc. is a company based in Los Altos, California, that specializes in manufacturing artificial intelligence chips tailored for deep learning applications. Founded in 2016, Cerebras Systems is dedicated to developing advanced computing systems designed to accelerate deep learning tasks. The company integrates its expertise in computer architecture and machine learning to create a new class of computer systems that significantly enhance AI performance. By employing innovative design principles, Cerebras Systems aims to transform the landscape of artificial intelligence through its pioneering technology.

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.

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.

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.