Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.
Linear B, Inc. develops a team analytics software platform that enables users to make data-driven decisions based on objective people metrics. It offers LinearB, a platform that unifies project management data with git analytics; and enables users to understand and manage their workforce by providing an optimal investment strategy and agile training analysis. The company’s platform also helps users to communicate the status and needs of the software team at the executive table; and evaluate their organization, gain insights, and improve productivity. Linear B, Inc. was founded in 2018 and is based in Santa Monica, California.
Astronomer, Inc., founded in 2014 and based in Cincinnati, Ohio, provides a managed platform for Apache Airflow, catering specifically to data engineers. The company focuses on enabling organizations to harness the capabilities of Apache Airflow through its flagship offering, Astronomer Cloud, which is recognized as a leading Airflow-as-a-Service solution. Astronomer is dedicated to enhancing standards of scale, performance, and reliability for enterprise-level data orchestration. Its platform encompasses a comprehensive suite of products and services that facilitate the deployment, management, and scaling of data pipelines. This includes features for isolated resource allocation, user access, and account management, allowing data engineers, scientists, and analysts to efficiently build, run, and monitor pipelines-as-code for effective business analytics.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
Starburst Data is a data access and analytics company that develops an SQL query engine. It provides fast and interactive enterprise-ready distribution, consisting of additional tooling and configurations, enabling data analysts to run fast analytic queries against various data sources ranging in size from gigabytes to petabytes.
The company was founded in 2017 and is headquartered in Boston, Massachusetts. Starburst Data is a data access and analytics company developing an SQL-on-Anything analytics platform.
Atlan is a data democratization company that helps data teams collaborate frictionlessly on data projects. It is creating a home for data teams—allowing them to truly democratize both internal and external data, while automating repetitive tasks. The company caters to more than 200 teams in over 50 countries. Some of their customers include Unilever, Milkbasket, Barbeque Nation, WPP and GroupM, Mahindra Group, and InMobi among other startups and Fortune 500 companies. Their investors and advisors include Ratan Tata, Rajan Anandan, 500 Startups, WaterBridge Ventures, Google Launchpad (class of 2018) and Unreasonable Future (class of 2019). Atlan is headquartered in Singapore, with teams in New Delhi and Bengaluru (India), San Francisco (US) and Nairobi (Kenya).
Airbyte is an open-source data integration platform that facilitates the synchronization of data from various applications, APIs, and databases to data warehouses. The platform enables users to automate data pipelines using pre-built or custom connectors, allowing for efficient data consolidation and analytics. By providing a flexible and user-friendly solution, Airbyte helps businesses effectively gather and manage their data, even from users who employ ad-blocking tools. This functionality supports a wide range of data-driven decision-making processes across different industries.
From smartphones to connected cars, location data is changing the way we live and the way business happens. CARTO is the platform that turns spatial data into more efficient delivery routes, better behavioral marketing, strategic store placements, and much more. Data Scientists, Developers, and Analysts solve spatial problems using CARTO’s data and analysis to understand where and why things happen, optimize business processes, and predict future outcomes through the power of Spatial Data Science. Backed by leading VC firms Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, CARTO is the world’s leading Location Intelligence platform. Founded in 2012 by an environmental scientist and visualization experts, CARTO is headquartered in New York City with offices in Madrid, Seville and Washington DC. CARTO has a team of 130 employees, a portfolio of 2,500 customers including BBVA, BCG, New York City, and Twitter and more than 350,000 users around the globe - and has regularly been recognized by Gartner and Forrester for its innovation in the Location Intelligence space.
Calixa unifies customer data and customer tooling into one, easy-to-use product. It connects with 3rd party services(eg Stripe, Zendesk, Intercom, Sendgrid, etc) to provide a single interface for teams to view, search and act on everything related to customers. It replaces a patchwork of unloved tools (eg internal admin tools, 3rd party tools, writing SQL, asking engineers, etc) with a purpose-built and intuitive customer platform.
Drata is a leading security and compliance automation platform designed to assist companies in achieving continuous compliance with service organization control standards. The platform features an autopilot system that automates control monitoring and evidence collection, which simplifies the process of preparing for audits, ultimately reducing both costs and time. By providing actionable insights, reports, alerts, and integrations with various software-as-a-service applications, Drata enables enterprises to build trust with their users, customers, partners, and prospects, facilitating secure business growth and accelerated sales.
Sama provides data annotation services for machine learning, specializing in image, video, and sensor data. Founded in 2008 and headquartered in San Francisco, the company also has locations in various countries including Brazil, Canada, the Netherlands, Kenya, Uganda, and Singapore. Sama's offerings include automated annotation solutions such as sensor fusions, bounding boxes, semantic segmentation, and video object training, which enhance the efficiency and accuracy of data processing. The company caters to diverse sectors, including transportation, retail, healthcare, manufacturing, and agriculture, and has established partnerships with prominent organizations like Walmart, Google, and Nvidia. By delivering high-quality training data, Sama supports the development of reliable machine learning models for its clients.
Urbint is an artificial intelligence company focused on enhancing infrastructure and utility safety. It develops AI-powered solutions that help utilities and infrastructure operators effectively manage risks while optimizing resource allocation. By utilizing proprietary Models of the World and machine learning, Urbint enables risk-driven decision-making that improves safety, reliability, and cost-effectiveness, all while aiming to reduce emissions. The company's technology proactively predicts and prevents threats to critical infrastructure, safeguarding both the facilities and the workers involved in their maintenance. Urbint's platform is designed to empower operators in the construction, servicing, replacement, and protection of infrastructure, ultimately making communities safer and more resilient.
Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Alation, Inc. is a company that specializes in data intelligence solutions, providing an AI-driven platform designed for data search and discovery, governance, stewardship, and analytics. Founded in 2012 and headquartered in Redwood City, California, Alation aims to enhance the way organizations find, understand, and trust their data. Its innovative platform integrates machine learning with human collaboration to facilitate confident data-driven decisions. Alation's offerings include a data catalog that supports metadata management and self-service analytics, enabling users to understand data origins, usage, and governance. The company serves a diverse range of clients, including notable organizations such as the City of San Diego, eBay, Munich Re, and Pfizer, and is backed by several venture capital firms.
Databook Labs Inc. is an enterprise customer intelligence platform that enhances sales productivity and performance for organizations. Founded in 2015 and based in Palo Alto, California, Databook offers a range of tools including an intent dashboard, real-time insights, and customizable sales decks. These tools enable sales teams to prioritize accounts effectively, understand customer needs, and deliver tailored content quickly. By connecting solutions to customers' specific board-level initiatives, Databook helps organizations align their sales strategies with client outcomes, ultimately improving marketing-to-sales performance while reducing costs. Its web and iOS applications support data-driven selling and consulting, providing insights, metrics, and news relevant to both customers and clients.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, 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, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Starburst Data is a data access and analytics company that develops an SQL query engine. It provides fast and interactive enterprise-ready distribution, consisting of additional tooling and configurations, enabling data analysts to run fast analytic queries against various data sources ranging in size from gigabytes to petabytes.
The company was founded in 2017 and is headquartered in Boston, Massachusetts. Starburst Data is a data access and analytics company developing an SQL-on-Anything analytics platform.
BigID, Inc. is a software company focused on personal data protection and privacy compliance. Founded in 2015 and headquartered in New York, with additional offices in Tel Aviv and London, BigID offers a platform that employs advanced machine learning and identity intelligence to help organizations protect and manage customer data. The company's solutions enable enterprises to discover and inventory personal information across diverse data types, automate access rights fulfillment, map data flows, and comply with privacy regulations such as the GDPR and CCPA. By providing tools for data minimization, consent management, and risk assessment, BigID aims to enhance data privacy practices and reduce breach risks for businesses operating at scale.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Novidea is a leading global provider of the data-driven platform that enables brokers, agents, and MGAs to drive operational efficiencies and growth across the entire distribution lifecycle.
Odaseva is a unified cloud data protection, compliance, and operations platform for enterprises running Salesforce. The company delivers enterprise-class data governance, providing data protection (backup and recovery, archiving, governor limits monitoring), data compliance for regulation requirements such as GDPR and data operations (Salesforce DX data extensions).
Odaseva was developed for Salesforce by Salesforce experts and is endorsed by Salesforce Ventures.
Privitar Ltd. is a London-based enterprise software company specializing in privacy-preserving data mining and sophisticated data anonymization. Founded in 2014, it offers a range of products designed to help organizations manage sensitive data while ensuring privacy and compliance with regulations. Key offerings include Privitar Publisher, which facilitates data auditing and user management, Privitar Lens for creating privacy-preserving APIs, and SecureLink, a data de-identification system. The Privitar Data Privacy Platform enhances data utilization while protecting sensitive customer information. The company's solutions are utilized across various sectors, such as finance, healthcare, telecommunications, and marketing, enabling clients to innovate and leverage data responsibly. Privitar serves a global clientele across North America, Europe, and Asia, focusing on enabling ethical data practices and reducing privacy risks.
Urbint is an artificial intelligence company focused on enhancing infrastructure and utility safety. It develops AI-powered solutions that help utilities and infrastructure operators effectively manage risks while optimizing resource allocation. By utilizing proprietary Models of the World and machine learning, Urbint enables risk-driven decision-making that improves safety, reliability, and cost-effectiveness, all while aiming to reduce emissions. The company's technology proactively predicts and prevents threats to critical infrastructure, safeguarding both the facilities and the workers involved in their maintenance. Urbint's platform is designed to empower operators in the construction, servicing, replacement, and protection of infrastructure, ultimately making communities safer and more resilient.
Privitar Ltd. is a London-based enterprise software company specializing in privacy-preserving data mining and sophisticated data anonymization. Founded in 2014, it offers a range of products designed to help organizations manage sensitive data while ensuring privacy and compliance with regulations. Key offerings include Privitar Publisher, which facilitates data auditing and user management, Privitar Lens for creating privacy-preserving APIs, and SecureLink, a data de-identification system. The Privitar Data Privacy Platform enhances data utilization while protecting sensitive customer information. The company's solutions are utilized across various sectors, such as finance, healthcare, telecommunications, and marketing, enabling clients to innovate and leverage data responsibly. Privitar serves a global clientele across North America, Europe, and Asia, focusing on enabling ethical data practices and reducing privacy risks.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
Sama provides data annotation services for machine learning, specializing in image, video, and sensor data. Founded in 2008 and headquartered in San Francisco, the company also has locations in various countries including Brazil, Canada, the Netherlands, Kenya, Uganda, and Singapore. Sama's offerings include automated annotation solutions such as sensor fusions, bounding boxes, semantic segmentation, and video object training, which enhance the efficiency and accuracy of data processing. The company caters to diverse sectors, including transportation, retail, healthcare, manufacturing, and agriculture, and has established partnerships with prominent organizations like Walmart, Google, and Nvidia. By delivering high-quality training data, Sama supports the development of reliable machine learning models for its clients.
BigID, Inc. is a software company focused on personal data protection and privacy compliance. Founded in 2015 and headquartered in New York, with additional offices in Tel Aviv and London, BigID offers a platform that employs advanced machine learning and identity intelligence to help organizations protect and manage customer data. The company's solutions enable enterprises to discover and inventory personal information across diverse data types, automate access rights fulfillment, map data flows, and comply with privacy regulations such as the GDPR and CCPA. By providing tools for data minimization, consent management, and risk assessment, BigID aims to enhance data privacy practices and reduce breach risks for businesses operating at scale.
Privitar Ltd. is a London-based enterprise software company specializing in privacy-preserving data mining and sophisticated data anonymization. Founded in 2014, it offers a range of products designed to help organizations manage sensitive data while ensuring privacy and compliance with regulations. Key offerings include Privitar Publisher, which facilitates data auditing and user management, Privitar Lens for creating privacy-preserving APIs, and SecureLink, a data de-identification system. The Privitar Data Privacy Platform enhances data utilization while protecting sensitive customer information. The company's solutions are utilized across various sectors, such as finance, healthcare, telecommunications, and marketing, enabling clients to innovate and leverage data responsibly. Privitar serves a global clientele across North America, Europe, and Asia, focusing on enabling ethical data practices and reducing privacy risks.
6sense Insights Inc. is a predictive intelligence platform that aids B2B marketing and sales leaders in identifying potential prospects and understanding market dynamics through data-driven insights. Established in 2013 and headquartered in San Francisco, California, with additional offices in Texas and India, 6sense integrates various sources of time-sensitive activity, static data, and external information to offer a unified account engagement platform. This platform leverages artificial intelligence, big data, and machine learning to provide revenue teams with deep insights into buyer behavior, allowing them to prioritize accounts, engage resistant buying teams, and implement personalized multi-channel campaigns. By uncovering anonymous demand and optimizing data fragmentation, 6sense enables its users to predictably grow revenue and improve sales conversions.
Odaseva is a unified cloud data protection, compliance, and operations platform for enterprises running Salesforce. The company delivers enterprise-class data governance, providing data protection (backup and recovery, archiving, governor limits monitoring), data compliance for regulation requirements such as GDPR and data operations (Salesforce DX data extensions).
Odaseva was developed for Salesforce by Salesforce experts and is endorsed by Salesforce Ventures.
Alation, Inc. is a company that specializes in data intelligence solutions, providing an AI-driven platform designed for data search and discovery, governance, stewardship, and analytics. Founded in 2012 and headquartered in Redwood City, California, Alation aims to enhance the way organizations find, understand, and trust their data. Its innovative platform integrates machine learning with human collaboration to facilitate confident data-driven decisions. Alation's offerings include a data catalog that supports metadata management and self-service analytics, enabling users to understand data origins, usage, and governance. The company serves a diverse range of clients, including notable organizations such as the City of San Diego, eBay, Munich Re, and Pfizer, and is backed by several venture capital firms.
Quid, Inc. is a technology company that has developed a platform designed to search, analyze, and visualize collective intelligence to address strategic questions. Founded in 2006 and headquartered in San Francisco, with additional offices in New York and London, Quid's platform specializes in analyzing text-based data using artificial intelligence and Natural Language Processing. It processes large datasets, including patents, news articles, and blog posts, to identify patterns and insights, facilitating informed decision-making for users in various sectors such as marketing, consulting, technology, healthcare, and financial services. The platform allows non-technical users to independently access valuable information and generate unique insights. In January 2020, Quid merged with NetBase Solutions, combining their strengths under the name Netbase Quid.
Novidea is a leading global provider of the data-driven platform that enables brokers, agents, and MGAs to drive operational efficiencies and growth across the entire distribution lifecycle.
RevUp Software specializes in providing advanced predictive data analytics tailored for fundraising efforts within non-profits, academic institutions, and political organizations. The company's platform enhances the abilities of fundraisers by offering innovative methods to identify, target, and engage their networks. By integrating seamlessly with existing software, RevUp empowers organizations to leverage data analytics and social media effectively, enabling them to achieve and surpass their fundraising objectives.
Datorama’s marketing intelligence platform transforms the way marketers optimize their marketing performance, business impact, and customer loyalty. With Datorama, customers can automatically connect all their disparate marketing tools and reports in one centralized place; access and act on the right cross-channel KPIs, dashboards, reports, and AI-powered insights; and optimize and report on every investment, performance, and outcome across the customer journey.
Datorama powers marketing intelligence for thousands of brands, agencies and publishers globally including IBM, Nike, Ticketmaster, Viacom, and Neo@Ogilvy, helping them make smarter marketing decisions everyday.
Datorama has a global presence with 16 offices worldwide and was recently named a Gartner Cool Vendor and ranks #35 on the Deloitte Fast 500 list.
OpenDataSoft provides a comprehensive data-sharing platform that enables organizations to publish, manage, visualize, and share their data effectively. The company's software-as-a-service (SaaS) solution serves as a centralized hub, allowing users to access and analyze data in various formats. By facilitating data publishing and application programming interface management, OpenDataSoft empowers teams to create engaging digital experiences and fosters collaboration through data reuse. The platform aims to accelerate digital transformation, enhance operational efficiency, and help organizations derive value from their data by promoting a culture of sharing and accessibility.
MongoDB, founded in 2007, offers a document-oriented NoSQL database designed to help businesses leverage data for transformative applications. With nearly 33,000 paying customers and over 1.5 million free users, MongoDB serves a diverse range of industries, enabling both startups and established companies to develop innovative solutions at a lower cost compared to traditional databases. The platform supports all major programming languages and is suitable for various deployment scenarios, providing both licenses and subscription services. MongoDB has established a robust ecosystem with over 30 million downloads and a network of more than 1,000 technology and service partners, reinforcing its position as a leader in the database market.
Attic Labs, Inc. is a software company based in San Francisco, established in 2015 and known for its development of Noms, an open-source decentralized database. Noms facilitates the storage, movement, and collaboration of large-scale structured data, allowing businesses to subscribe to data streams similar to how consumers subscribe to RSS feeds. This innovation enables retailers, for example, to receive weekly updates on same-store sales without the need for manual data downloads. The software draws inspiration from various projects and is designed to support large data sets, enabling users to replicate and edit data offline across multiple machines. Noms incorporates versioning, ensuring that edits do not overwrite previous data, thus simplifying data retrieval when necessary. Attic Labs was acquired by Quip, Inc. in January 2018.
Splice Machine is a data platform that offers offline, and batch analysis, and powers intelligent applications for operational workflows.
Splice Machine is disrupting the $30 billion traditional database world with the open-source dual-engine RDBMS for mixed operational and analytical workloads, powered by Apache Hadoop and Apache Spark. The Splice Machine RDBMS executes operational workloads on Apache HBase® and analytical workloads on Apache Spark.
Splice Machine makes it easy to develop and create modern, real-time, scalable applications, or to offload operational and analytical workloads from expensive Oracle, Teradata, and Netezza systems. Typical use cases are ETL, operational reporting, or real-time applications.
Privitar Ltd. is a London-based enterprise software company specializing in privacy-preserving data mining and sophisticated data anonymization. Founded in 2014, it offers a range of products designed to help organizations manage sensitive data while ensuring privacy and compliance with regulations. Key offerings include Privitar Publisher, which facilitates data auditing and user management, Privitar Lens for creating privacy-preserving APIs, and SecureLink, a data de-identification system. The Privitar Data Privacy Platform enhances data utilization while protecting sensitive customer information. The company's solutions are utilized across various sectors, such as finance, healthcare, telecommunications, and marketing, enabling clients to innovate and leverage data responsibly. Privitar serves a global clientele across North America, Europe, and Asia, focusing on enabling ethical data practices and reducing privacy risks.
Squirro is a company that specializes in Augmented Intelligence solutions, aimed at helping businesses capitalize on opportunities, enhance client relationships, and improve decision-making processes. Its core offering is an Insights Engine that leverages artificial intelligence to provide contextualized insights from various relevant data sources, which can be accessed through workbench integrations and self-service applications. Squirro primarily serves global organizations in sectors such as Financial Services, Insurance, Telecommunications, and Manufacturing. Notable clients include the Bank of England and Standard Chartered. Founded in 2012, Squirro has established a presence in multiple cities, including Zürich, London, Munich, New York, and Singapore. The company's focus is on transforming disparate data into meaningful narratives that drive strategic actions.
Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in creating customized, high-quality training data for various applications. Founded in 2007 and based in San Francisco, the platform transforms text, image, audio, and video data to support a wide range of use cases, including autonomous vehicles, natural language processing, intelligent chatbots, and computer vision. It employs machine learning-assisted annotation solutions to produce training data at enterprise scale, having generated over 10 billion training data labels to power real-world AI applications. Figure Eight serves diverse industries such as automotive, healthcare, finance, and technology, facilitating tasks like video object tracking, sentiment analysis, and document transcription. The platform's capabilities enable data science teams to enhance the performance of their models in practical scenarios.
OpenDataSoft provides a comprehensive data-sharing platform that enables organizations to publish, manage, visualize, and share their data effectively. The company's software-as-a-service (SaaS) solution serves as a centralized hub, allowing users to access and analyze data in various formats. By facilitating data publishing and application programming interface management, OpenDataSoft empowers teams to create engaging digital experiences and fosters collaboration through data reuse. The platform aims to accelerate digital transformation, enhance operational efficiency, and help organizations derive value from their data by promoting a culture of sharing and accessibility.
Krux Digital Inc. develops a cloud-based data management platform designed for marketers, media companies, publishers, and agencies on a global scale. The platform consolidates consumer data from various sources and devices, analyzes individual preferences, and activates this data in real time across multiple channels, including desktop, mobile, social, and video. Founded in 2010 and headquartered in San Francisco, Krux operates additional offices in major cities worldwide. The company provides a comprehensive range of services, including audience data management, identity management, and cross-channel frequency management. With its platform, Krux enables businesses to deliver tailored content, advertising, and shopping experiences, making it easier to engage audiences effectively. As of November 2016, Krux operates as a subsidiary of Salesforce.com.
BeyondCore offers a data analytics software solution designed for business users, enabling them to access insightful and actionable analytics without requiring advanced technical skills. Utilizing its Smart Data Discovery technology, BeyondCore automatically analyzes unique datasets, delivering relevant findings rapidly in formats like PowerPoint and Word. This approach eliminates the need for users to frame specific questions or engage in trial-and-error methods, providing instead a straightforward pathway to data-driven insights. The platform's capabilities include descriptive, diagnostic, predictive, and prescriptive analytics, all aimed at enhancing decision-making processes. BeyondCore's technology is the result of a decade of research and development, supported by over 20 patents, and has earned recognition as a leader in the industry, including accolades in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms. The company serves a range of clients, including Fortune 500 companies, seeking to leverage data for improved business outcomes.
Coolan specializes in crowdsourced, predictive analytics for data centers. The company offers a software platform that aggregates real-time information from a community of operators, utilizing machine learning to deliver insights on hardware performance. This platform enables detailed component-level analysis, helping organizations manage their infrastructure more effectively. By predicting failure trends and preventing outages, Coolan empowers businesses to make informed purchasing decisions and optimize hardware efficiency. The collective event data analyzed by the platform also aids in benchmarking and understanding utilization rates, ultimately fostering smarter business strategies and accelerating innovation in the data center sector.
CoolaData is a behavioral data service empowering data-driven business.
CoolaData’s open, scalable platform enables flexible access, unifying a variety of internal and external data sources and providing a cost effective alternative to self-developed analytics solutions. CoolaData analyzes online user behavior and converts it to usable business data. It leads to actionable insights and simplifies complex data structures into useful business terms.
MetaMind is a company focused on the development of a data analysis and machine learning platform that leverages artificial intelligence for various applications. Originally founded to enhance automated image recognition, MetaMind aims to create technology that simplifies the complexities of everyday life. Its AI platform specializes in natural language processing, image understanding, and knowledge base analytics, ensuring that the solutions provided are reliable, trustworthy, and user-friendly. The company's mission centers on exploring positive and impactful uses of artificial intelligence to improve daily experiences.
RevUp Software specializes in providing advanced predictive data analytics tailored for fundraising efforts within non-profits, academic institutions, and political organizations. The company's platform enhances the abilities of fundraisers by offering innovative methods to identify, target, and engage their networks. By integrating seamlessly with existing software, RevUp empowers organizations to leverage data analytics and social media effectively, enabling them to achieve and surpass their fundraising objectives.
Qubit Digital Limited specializes in developing software solutions that manage and analyze large data sets to enhance online customer experiences. The company offers a range of products, including tag management, marketing attribution, customer intelligence, and web personalization solutions. Its notable offerings include OpenTag, an open-source tag management system that streamlines the management of third-party technologies, and Qubit Pro, a platform for personalizing user experiences based on visitor data. Additionally, Qubit provides solutions for customer analytics, web testing, and product discovery, catering primarily to e-commerce, publishing, and lead generation sectors. By leveraging rich customer data and advanced technology, Qubit aims to help businesses improve marketing efficiency and increase revenue through personalized customer interactions. Founded in 2010 and headquartered in London, Qubit has expanded its presence with offices in major cities including New York and Paris, serving prominent brands in the global market.
PredictionIO is an open-source machine learning server designed for software developers and data engineers to create predictive features such as personalization, recommendation, and content discovery. The platform allows developers to effortlessly integrate predictive capabilities into their web or mobile applications through a straightforward set of APIs. This enables the implementation of features like product recommendations similar to those used by major retailers or news suggestions akin to popular content platforms, all accomplished with minimal coding effort. By providing these tools, PredictionIO supports the development of smarter applications that enhance user experiences.
MinHash, Inc. is a technology company based in Palo Alto, California, established in 2014 and operating as a subsidiary of Salesforce. The company has developed a demand data platform that aggregates and organizes demand signals from various internal and external sources. Its flagship product, AILA, leverages artificial intelligence to identify emerging trends across thousands of media outlets. By analyzing diverse data formats, including text, images, hashtags, and URLs, AILA enables marketers and merchandisers to respond swiftly to trending topics. The platform effectively acts as a virtual assistant, automatically crafting campaigns with relevant themes, unique messaging, and targeted audiences, thereby enhancing marketing strategies and execution.
Crunchbase is a comprehensive platform that provides detailed business information about both private and public companies. It offers insights into investments, funding, leadership teams, mergers and acquisitions, industry trends, and relevant news. Initially focused on tracking startups, Crunchbase has expanded its database to cover companies worldwide. The platform gathers data through four primary methods: a venture program, machine learning technology, an in-house data team, and contributions from the Crunchbase community, allowing public members to submit information. These submissions undergo a process of registration, social validation, and moderation to ensure accuracy and reliability. By offering this wealth of information, Crunchbase serves as a valuable resource for entrepreneurs, investors, and market researchers seeking to make informed business decisions.
From smartphones to connected cars, location data is changing the way we live and the way business happens. CARTO is the platform that turns spatial data into more efficient delivery routes, better behavioral marketing, strategic store placements, and much more. Data Scientists, Developers, and Analysts solve spatial problems using CARTO’s data and analysis to understand where and why things happen, optimize business processes, and predict future outcomes through the power of Spatial Data Science. Backed by leading VC firms Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, CARTO is the world’s leading Location Intelligence platform. Founded in 2012 by an environmental scientist and visualization experts, CARTO is headquartered in New York City with offices in Madrid, Seville and Washington DC. CARTO has a team of 130 employees, a portfolio of 2,500 customers including BBVA, BCG, New York City, and Twitter and more than 350,000 users around the globe - and has regularly been recognized by Gartner and Forrester for its innovation in the Location Intelligence space.
6sense Insights Inc. is a predictive intelligence platform that aids B2B marketing and sales leaders in identifying potential prospects and understanding market dynamics through data-driven insights. Established in 2013 and headquartered in San Francisco, California, with additional offices in Texas and India, 6sense integrates various sources of time-sensitive activity, static data, and external information to offer a unified account engagement platform. This platform leverages artificial intelligence, big data, and machine learning to provide revenue teams with deep insights into buyer behavior, allowing them to prioritize accounts, engage resistant buying teams, and implement personalized multi-channel campaigns. By uncovering anonymous demand and optimizing data fragmentation, 6sense enables its users to predictably grow revenue and improve sales conversions.
Govini is a leading business intelligence platform tailored for companies engaging with the public sector. It specializes in providing proprietary analytics that address crucial aspects of the business development lifecycle, including market size, opportunity qualification, competitive positioning, and partner profiling. By leveraging a comprehensive database, Govini offers clients across various industries a significant advantage in navigating government opportunities. The platform integrates advanced data science and artificial intelligence to deliver decision-grade information, enhancing the analytical capabilities of federal agencies and enabling them to tackle complex challenges effectively. Through its robust framework, Govini supports organizations in making informed decisions and optimizing their strategies in the government market.
ABEJA, Inc. is a Japanese company founded in 2012, specializing in artificial intelligence software tailored for the retail and manufacturing sectors. Based in Minato-Ku, the company integrates advanced technologies such as IoT, big data, and deep learning to facilitate comprehensive data analysis. ABEJA offers a cloud-based platform that supports the entire machine learning and deep learning pipeline, encompassing development, deployment, and operation. Its services include data collection, analysis, automation, prediction, simulation, and visualization, all customized to meet the specific needs of various industries, particularly retail and manufacturing.
Qubit Digital Limited specializes in developing software solutions that manage and analyze large data sets to enhance online customer experiences. The company offers a range of products, including tag management, marketing attribution, customer intelligence, and web personalization solutions. Its notable offerings include OpenTag, an open-source tag management system that streamlines the management of third-party technologies, and Qubit Pro, a platform for personalizing user experiences based on visitor data. Additionally, Qubit provides solutions for customer analytics, web testing, and product discovery, catering primarily to e-commerce, publishing, and lead generation sectors. By leveraging rich customer data and advanced technology, Qubit aims to help businesses improve marketing efficiency and increase revenue through personalized customer interactions. Founded in 2010 and headquartered in London, Qubit has expanded its presence with offices in major cities including New York and Paris, serving prominent brands in the global market.
Natero, Inc. is a cloud-based analytics company that specializes in providing a comprehensive solution for product managers and business intelligence analysts. Founded in 2012 and based in Palo Alto, California, Natero offers a platform that integrates machine learning to predict customer behavior with big data analytics to deliver deep insights into customer interactions. This innovative approach enables SaaS customer success teams to enhance customer retention and maximize customer lifetime value. As of May 2019, Natero operates as a subsidiary of Freshworks Inc.
Domo, Inc. operates a cloud-based platform that connects various levels of an organization, from executives to front-line employees, with real-time data and insights. Founded in 2010 and headquartered in American Fork, Utah, Domo enables users to manage their business operations through smartphones, facilitating instant access to critical information. The platform includes features such as a Programmatic Revenue Solution, which integrates complex data from ad servers and sell-side platforms into user-friendly dashboards. Domo's services are offered on a subscription basis, generating revenue from both subscriptions and professional services, while also providing users with timely notifications that allow for immediate action on data-driven insights.
MongoDB, founded in 2007, offers a document-oriented NoSQL database designed to help businesses leverage data for transformative applications. With nearly 33,000 paying customers and over 1.5 million free users, MongoDB serves a diverse range of industries, enabling both startups and established companies to develop innovative solutions at a lower cost compared to traditional databases. The platform supports all major programming languages and is suitable for various deployment scenarios, providing both licenses and subscription services. MongoDB has established a robust ecosystem with over 30 million downloads and a network of more than 1,000 technology and service partners, reinforcing its position as a leader in the database market.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
EdgeSpring specializes in providing visual analytics and business intelligence solutions that facilitate data-driven decision-making for businesses. By offering a streamlined approach to data analysis, EdgeSpring aims to empower organizations to derive insights quickly and efficiently. Their platform is designed to simplify the process of interpreting complex data sets, enabling users to make informed decisions that enhance business performance.
Heavybit is a San Francisco-based venture capital firm established in 2012 that focuses on investing in software companies, particularly those involved in developer tools, cloud-native infrastructure, and the open-source sector. The firm operates a venture fund and a structured nine-month accelerator program designed to assist seed and Series A companies in scaling their go-to-market strategies. Heavybit combines tailored strategic and operational planning with weekly mentorship from domain experts, providing differentiated capital to support founders in achieving significant growth and success.
Datahug Limited, also known as CRM Pulse Ltd, specializes in sales optimization solutions designed to enhance the productivity and accuracy of sales teams. Founded in 2009 and based in Dublin, Ireland, with an additional office in Washington DC, the company offers various tools including collaborative forecasting and pipeline management solutions. Datahug utilizes machine learning algorithms to automatically analyze deal activity, providing actionable insights that help sales representatives close deals more effectively. Its features include Pipeline Management, which assesses deals based on factual data, and Forecast Rollup, which maintains an up-to-date company-wide forecast. Additionally, Datahug provides Activity Tracking to monitor team engagement and Coaching Metrics to guide sales personnel in achieving their targets. By leveraging these tools, organizations can significantly improve forecast accuracy and close rates, ultimately driving revenue growth. Datahug operates as a subsidiary of Callidus Software Inc. since November 2016.
Discoverly is a tool to navigate and employ your social data. It's about time we put social to work.
Hottolink, Inc., founded in 2000 and headquartered in Tokyo, Japan, is a leading provider of social data and social media analytics in the country. The company specializes in Big Data solutions and consultation services, focusing on monitoring and analyzing social media data through advanced Asian language processing technology. Hottolink is recognized as the largest social data provider in Japan, offering tools that enable businesses to gain insights from social media interactions. Through its innovative approach, the company aims to create a more understanding and connected environment, where individuals can experience a sense of relief, as reflected in its mission to "Make the world Hotto."
Prior Knowledge makes insight and predictions as easy as using a database, by building infer-structure -- infrastructure for inference. Veritable, their predictive database, goes beyond traditional big data analytics by learning the deep structure of data and generating predictions that reflect all of these relationships. The complex probabilistic models behind PK’s infer-structure grew out of many years of research at MIT. Prior Knowledge continues to advance the state-of-the-art in probabilistic inference in order to tackle the size and complexity of modern datasets, and to let regular developers exploit these advances. Prior Knowledge is backed by Founders Fund and independent angel investors.