Coatue

Clara is a spending management platform focused on serving companies in Latin America. It offers an end-to-end solution that includes locally-issued corporate cards, bill payment services, financing options, and a software platform that streamlines corporate expense management. The platform is designed to simplify and automate financial processes, allowing businesses to gain real-time insights into spending and manage budgets more effectively. Clara is backed by a diverse group of global and regional investors, aiming to empower companies with greater financial agility and clarity. By enhancing the way company finances are managed, Clara contributes to increasing the economic competitiveness of the region.

Albert Invent offers an end-to-end platform that integrates electronic lab notebooks, laboratory information management systems, and AI tools for modern materials science R&D. The platform enhances collaboration, data management, and regulatory compliance while accelerating innovation in chemical research.

Cohesity, Inc. is a data management technology company that specializes in hyper-converged secondary storage solutions for large organizations. Founded in 2013 and based in Santa Clara, California, with an additional office in Raleigh, North Carolina, Cohesity aims to simplify the protection, management, and extraction of value from data. Its flagship product, the Cohesity DataPlatform, consolidates secondary data and workflows, eliminating storage silos and streamlining data management. The company also offers DataProtect, which integrates various data protection functions, including backup and disaster recovery, as well as the Cohesity Orion platform for comprehensive data protection and big data storage. Additionally, Cohesity provides tools for monitoring and managing data infrastructure through its SaaS-based solution, Cohesity Helios, and its mobile application. The company serves clients across the Americas, EMEA, and APAC, and maintains a strategic partnership with Pure Storage to enhance its offerings.

Grafana Labs is a company that specializes in providing an open and composable monitoring and observability stack centered around its flagship product, Grafana, an open-source technology for dashboards and data visualization. With over 3,000 customers, including major corporations like Bloomberg, Citigroup, and Salesforce, the company serves a global user base exceeding 20 million. Grafana Labs offers solutions that help organizations manage their observability strategies through its LGTM Stack, which can be deployed as a fully managed service via Grafana Cloud or as a self-managed option with Grafana Enterprise. Their offerings include scalable metrics management through Grafana Mimir, log aggregation with Grafana Loki, and distributed tracing via Grafana Tempo. These tools enable firms to unify data from various sources, enhancing their monitoring capabilities while avoiding vendor lock-in and high costs associated with proprietary solutions.

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.

Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.

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.

Clara is a spending management platform focused on serving companies in Latin America. It offers an end-to-end solution that includes locally-issued corporate cards, bill payment services, financing options, and a software platform that streamlines corporate expense management. The platform is designed to simplify and automate financial processes, allowing businesses to gain real-time insights into spending and manage budgets more effectively. Clara is backed by a diverse group of global and regional investors, aiming to empower companies with greater financial agility and clarity. By enhancing the way company finances are managed, Clara contributes to increasing the economic competitiveness of the region.

Cybersyn is a data-as-a-service (DaaS) company focused on providing businesses with access to real-time data to facilitate informed decision-making. It specializes in consumer behavior analytics, allowing organizations to gain insights into spending patterns and market dynamics. Cybersyn's platform features a telex network for information transmission, statistical alerting and planning tools, an economic simulator, and a control room designed to support data-driven decision-making. By offering standardized and readily usable data, Cybersyn enables companies to enhance their competitive edge while simplifying data management complexities.

Grafana Labs is a company that specializes in providing an open and composable monitoring and observability stack centered around its flagship product, Grafana, an open-source technology for dashboards and data visualization. With over 3,000 customers, including major corporations like Bloomberg, Citigroup, and Salesforce, the company serves a global user base exceeding 20 million. Grafana Labs offers solutions that help organizations manage their observability strategies through its LGTM Stack, which can be deployed as a fully managed service via Grafana Cloud or as a self-managed option with Grafana Enterprise. Their offerings include scalable metrics management through Grafana Mimir, log aggregation with Grafana Loki, and distributed tracing via Grafana Tempo. These tools enable firms to unify data from various sources, enhancing their monitoring capabilities while avoiding vendor lock-in and high costs associated with proprietary solutions.

Kubecost is a developer of a cost monitoring platform aimed at helping companies effectively manage their Kubernetes resources and associated costs. The platform integrates directly with the Kubernetes API and cloud billing systems, providing comprehensive cost allocations for essential Kubernetes components. Additionally, it offers dynamic recommendations to optimize cloud spending and includes infrastructure assessment services. These features enable clients to reduce their expenditures and prevent outages related to resource management.

Voltron Data specializes in developing tools for data access and memory computing aimed at enhancing the data analytics ecosystem. The company has created an open-source platform that facilitates seamless connections between data, hardware, and developers. By providing modular and composable analytics building blocks, Voltron Data enables the creation of multi-language tools that promote accelerated data interchange and in-memory processing. This approach allows developers, data scientists, and data engineers to improve their toolchains and establish better interoperability standards for data access, preparation, cleaning, analytics, and feature engineering.

Clara is a spending management platform focused on serving companies in Latin America. It offers an end-to-end solution that includes locally-issued corporate cards, bill payment services, financing options, and a software platform that streamlines corporate expense management. The platform is designed to simplify and automate financial processes, allowing businesses to gain real-time insights into spending and manage budgets more effectively. Clara is backed by a diverse group of global and regional investors, aiming to empower companies with greater financial agility and clarity. By enhancing the way company finances are managed, Clara contributes to increasing the economic competitiveness of the region.

ClickHouse is an open-source, column-oriented database management system specifically designed for online analytical processing (OLAP). It enables users to generate real-time analytical reports through SQL queries, leveraging its unique architecture that offers compact storage and enhanced processing performance. The column-oriented design minimizes redundant data, optimizing CPU efficiency and contributing to ClickHouse's remarkable speed. The system is capable of handling extensive datasets efficiently, processing large volumes of rows and gigabytes of data swiftly while maintaining reduced storage requirements. This makes ClickHouse a reliable, scalable solution for enterprises seeking to streamline their data processing and improve query performance for analytical purposes.

Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.

Fin is a technology company that offers a browser plugin to enhance visibility into customer operations teams using various SaaS applications. By leveraging big data, Fin helps organizations analyze workflows, improve agent training, and streamline processes for better customer experiences.

Grafana Labs is a company that specializes in providing an open and composable monitoring and observability stack centered around its flagship product, Grafana, an open-source technology for dashboards and data visualization. With over 3,000 customers, including major corporations like Bloomberg, Citigroup, and Salesforce, the company serves a global user base exceeding 20 million. Grafana Labs offers solutions that help organizations manage their observability strategies through its LGTM Stack, which can be deployed as a fully managed service via Grafana Cloud or as a self-managed option with Grafana Enterprise. Their offerings include scalable metrics management through Grafana Mimir, log aggregation with Grafana Loki, and distributed tracing via Grafana Tempo. These tools enable firms to unify data from various sources, enhancing their monitoring capabilities while avoiding vendor lock-in and high costs associated with proprietary solutions.

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.

PingCAP, Inc. is a Beijing-based company founded in 2015 that specializes in developing TiDB, an open-source distributed Hybrid Transactional/Analytical Processing (HTAP) database. TiDB is designed to function as a comprehensive solution for online transactions and analytical processes, offering features such as MySQL compatibility, infinite horizontal scalability, strong consistency, and high availability. The database supports both Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP), making it suitable for a wide range of applications. By focusing on cloud-native capabilities, PingCAP aims to provide users with a stable and efficient database management solution that meets modern data processing needs.

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.

Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.

Lacework, Inc. is a cloud security company based in Mountain View, California, founded in 2015. The company provides a comprehensive security platform that automates threat defense and intrusion detection for cloud workloads. Its flagship solution, Polygraph, secures customer accounts, workloads, and data by integrating with cloud providers' security measures. Lacework's platform continuously monitors all cloud components, including workloads, applications, processes, containers, and user accounts, offering features such as configuration assessment, behavior monitoring, anomaly detection, and incident investigation. This enables security teams to effectively protect data and maintain compliance while allowing businesses to innovate rapidly and safely in the cloud.

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.

Confluent, Inc. is a technology company that specializes in developing a data platform for real-time data integration, stream processing, and analytics. The company’s offerings include a suite of products based on Apache Kafka, an open-source messaging system that facilitates the collection and processing of data from various sources. Key products include Confluent Cloud, a managed streaming data service; Confluent Operator, which manages Apache Kafka on Kubernetes; KSQL, an open-source streaming SQL engine for interactive queries; and ksqlDB, an event streaming database. Confluent's platform empowers organizations to create a real-time data pipeline, enabling immediate action on data insights. Founded in 2014 and headquartered in Mountain View, California, Confluent serves a range of sectors, including financial services, retail, automotive, and government, and generates most of its revenue from subscriptions and services primarily in the United States. The company also has additional offices in several major cities across the U.S., Europe, and Australia.

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.

Weights & Biases provides performance visualization tools specifically designed for machine learning practitioners. The company focuses on helping teams track their models and visualize performance metrics, thereby facilitating the transition of deep learning research projects into deployed software. Its offerings include a dataset optimization tool that allows users to automate the training process and enhance model performance. By streamlining these aspects, Weights & Biases aims to support companies in developing high-quality software solutions that leverage deep learning technologies.

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.

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.

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.

Didi Chuxing is a mobile transportation platform that offers app-based transportation services. The company offers a mobile tech-based mobility option for users across, including taxi-hailing, private car-hailing, Hitch (social ride-sharing), DiDi Chauffeur, DiDi Bus, DiDi Test Drive, DiDi Car Rental, and DiDi Enterprise Solutions. As a practitioner in the sharing economy initiative, DiDi is committed to working with communities and partners to solve transportation, environmental challenges, and employment problems using big data-driven deep-learning algorithms that optimize resource allocation.