Lightspeed Venture Partners

Trail Security is an intelligent data protection platform that builds solutions for data loss prevention. The company focuses on artificial intelligence-driven solutions for safeguarding sensitive data across various environments, including cloud, endpoint, and network systems. It utilizes real-time monitoring and automated classification to detect, block, and remediate potential data breaches, aiming to prevent unauthorized data sharing or accidental exposure. It also integrates machine learning models to identify user behavior anomalies, helping organizations to protect data at rest, in use, and transit, all while providing real-time insights into how data was accessed and shared. Trail Security operates in stealth mode.

XFactor is a developer of a corporate decision platform that leverages artificial intelligence to enhance planning and strategy for businesses. The platform integrates trillions of data points by merging historical and real-time key indicators from internal and external sources within relevant markets. This capability enables organizations to continuously analyze and monitor sales performance in real-time, fostering informed decision-making and strategic insights.

Sarvam AI focuses on advancing artificial intelligence research to enhance the performance, reliability, and affordability of generative AI application development in India. The company develops sophisticated large language models tailored to the country's diverse linguistic environment, providing a user-friendly platform for creating and assessing generative AI applications. Sarvam AI emphasizes open-source collaboration, allowing businesses to leverage modern AI technology to gain a competitive advantage in their respective markets.

Sarvam AI focuses on advancing artificial intelligence research to enhance the performance, reliability, and affordability of generative AI application development in India. The company develops sophisticated large language models tailored to the country's diverse linguistic environment, providing a user-friendly platform for creating and assessing generative AI applications. Sarvam AI emphasizes open-source collaboration, allowing businesses to leverage modern AI technology to gain a competitive advantage in their respective markets.

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.

CommandK provides companies with the infrastructure to protect their sensitive data.

QueryPal is an innovative company that enhances enterprise customer support by utilizing historical support tickets to create an intelligent deflection system capable of managing most incoming inquiries via chat and email without human intervention. Unlike traditional AI chatbots that only retrieve information from documentation, QueryPal's Agentic Support AI constructs a comprehensive knowledge graph from past support data, facilitating tier 1-3 support capabilities, including complex API interactions with record systems. Its visual analytics dashboard provides customer service leaders with critical insights into support operations, demonstrating significant return on investment shortly after implementation. Trusted by notable organizations, QueryPal aims to transform the $300 billion global customer support market by converting cost centers into strategic assets without increasing workforce size. The company has received recognition in various publications, highlighting its potential to disrupt the industry.

XFactor is a developer of a corporate decision platform that leverages artificial intelligence to enhance planning and strategy for businesses. The platform integrates trillions of data points by merging historical and real-time key indicators from internal and external sources within relevant markets. This capability enables organizations to continuously analyze and monitor sales performance in real-time, fostering informed decision-making and strategic insights.

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.

NyquistAI is focused on providing a comprehensive platform for accessing and analyzing life science data. Utilizing advanced machine learning technology, NyquistAI combines unstructured data from global clinical trials and real-world sources to deliver valuable insights for healthcare professionals. The platform aims to enhance research capabilities and inform business strategies by offering up-to-date and credible information that spans the entire innovation lifecycle in the medical technology sector. With customizable solutions, NyquistAI enables users to efficiently compile and interpret crucial data, thereby supporting informed decision-making and fostering innovative opportunities in the life sciences field.

Ponder Data Inc. provides enterprise-ready tools for rapid, flexible experimentation with data at scale. Ponder makes data teams more productive by enabling them to get insights faster with tools they know and love.

MDClone Ltd. is a company that specializes in developing software for analyzing medical records while ensuring the privacy of patient data. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients, which allows researchers to study disease behavior, healthcare practices, and treatment outcomes without exposing actual patient information. The MDClone ADAMS Platform provides a self-service data analytics environment that facilitates exploration, discovery, and collaboration across healthcare systems, both nationally and internationally. This innovative approach addresses common barriers in healthcare by enabling users to organize and access data efficiently, thereby improving operations and enhancing patient outcomes. MDClone serves various clients in the healthcare sector, including major health systems, payers, and life sciences organizations in the United States, Canada, and Israel.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

Matillion Ltd. specializes in developing cloud data integration software solutions aimed at helping organizations optimize their data usage. The company offers a range of products, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader allows users to seamlessly integrate data from various sources into their cloud data warehouses. The Matillion Business Intelligence tool provides self-service reporting and analytics capabilities, while Matillion Exchange serves as a marketplace for users to share and download ETL jobs. Matillion's solutions cater to a diverse clientele, including Fortune 500 companies and mid-sized enterprises across the United Kingdom, the United States, and EMEA. Founded in 2010 and headquartered in Manchester, the company also has offices in New York, Denver, and Seattle.

Market AI has been acquired by Verishop Group! Learn more about Verishop Group: https://www.verishopgroup.com/

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Osmos helps streamline and accelerate data ingestion, enabling companies to scale while improving data quality. With AI-powered data transformations, Osmos makes data ingestion easy, fast, and error-free, so your implementation and operations teams can independently activate customers and partners by automating the cleanup of messy data. We are committed to creating a world where anyone can work with data regardless of technical proficiency.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Matillion Ltd. specializes in developing cloud data integration software solutions aimed at helping organizations optimize their data usage. The company offers a range of products, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader allows users to seamlessly integrate data from various sources into their cloud data warehouses. The Matillion Business Intelligence tool provides self-service reporting and analytics capabilities, while Matillion Exchange serves as a marketplace for users to share and download ETL jobs. Matillion's solutions cater to a diverse clientele, including Fortune 500 companies and mid-sized enterprises across the United Kingdom, the United States, and EMEA. Founded in 2010 and headquartered in Manchester, the company also has offices in New York, Denver, and Seattle.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

DataFleets Ltd. is a data analytics software company headquartered in Palo Alto, California, founded in 2018. It specializes in developing a privacy-preserving data engine that unifies distributed data for efficient access and agile analytics. The platform enables data scientists and developers to create analytics, machine learning models, and applications on sensitive data sets without direct access to the data itself. This is achieved through a "data fleet," which incorporates advanced techniques such as federated computation, transfer learning, encryption, and differential privacy to ensure data protection. DataFleets aims to help organizations navigate the balance between data privacy and innovation, allowing them to comply with data protection standards while advancing their data science initiatives. The company also offers a web-based notebook editor for hypothesis testing, further enhancing its analytics capabilities.

Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing, resulting in optimal control over performance and cost. Varada’s data platform runs in your cloud environment, enabling any SQL consumer to easily query any data source. The company was founded by David Krakov, Roman Vainbrand, and Tal Ben-Moshe. Varada is based in Tel Aviv, Israel.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Smarter demand forecasting models at scale start here. Discover what causes your anomalies with PredictHQ's API. Our systems aggregate and verify millions of demand causal factors and ranks them by predicted impact so your team makes better decisions faster. Our demand intelligence is used by some of the smartest companies all over the world including Uber, Booking.com, Alexa, Accenture, Domino’s and many more to build more accurate forecasts, intelligent products and operational strategies. Customers are using our API for: - Demand forecasting model improvement - Dynamic pricing optimization - Workforce optimization - Inventory management improvements - Predictive analyitcs - Data centralization strategies

MDClone Ltd. is a company that specializes in developing software for analyzing medical records while ensuring the privacy of patient data. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients, which allows researchers to study disease behavior, healthcare practices, and treatment outcomes without exposing actual patient information. The MDClone ADAMS Platform provides a self-service data analytics environment that facilitates exploration, discovery, and collaboration across healthcare systems, both nationally and internationally. This innovative approach addresses common barriers in healthcare by enabling users to organize and access data efficiently, thereby improving operations and enhancing patient outcomes. MDClone serves various clients in the healthcare sector, including major health systems, payers, and life sciences organizations in the United States, Canada, and Israel.

Spate, Inc. is a technology company based in New York that specializes in analyzing consumer behavior signals from across the internet to identify emerging trends, particularly in the beauty, wellness, and personal care sectors. Founded in 2018, Spate employs machine intelligence to provide data-driven insights that help consumer brands understand the dynamics behind trending products and marketing strategies. By leveraging its analytical capabilities, Spate enables brands to confidently engage with new trends, facilitating informed decision-making in product development and marketing initiatives.

LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

RedCarpet lends to customers in India to finance their online purchases - ecommerce, travel, etc. RedCarpetUp lends to customers in India that banks cannot see. In India, credit and finance companies are able to service less than 10% of the customer base because there is no data, no widespread credit bureaus to profile and score customers. RedCarpet has access to much more data, including data on your mobile phone. They use this data to service customers who never had any access to credit before. Today their customer segment is young, future-prime students in colleges who use RedCarpetUp to find credit to fund online purchases - ecommerce, travel, etc. Tomorrow they hope to unlock credit to all of India.

ECheng (e成) is a B2B SaaS platform that provides HR matching and resume screening for enterprises. Using machine learning, data mining, and NLP (natural language processing), the company categorizes resumes that best fit the job requirements of the client company. The company was launched in 2013 by industry veterans from Baidu, IBM, and Microsoft, serving multinational conglomerates as well as small and medium-sized companies.

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.

Varada enables data architects to seamlessly accelerate and optimize workloads, using dynamic analysis and adaptive indexing, resulting in optimal control over performance and cost. Varada’s data platform runs in your cloud environment, enabling any SQL consumer to easily query any data source. The company was founded by David Krakov, Roman Vainbrand, and Tal Ben-Moshe. Varada is based in Tel Aviv, Israel.

Smarter demand forecasting models at scale start here. Discover what causes your anomalies with PredictHQ's API. Our systems aggregate and verify millions of demand causal factors and ranks them by predicted impact so your team makes better decisions faster. Our demand intelligence is used by some of the smartest companies all over the world including Uber, Booking.com, Alexa, Accenture, Domino’s and many more to build more accurate forecasts, intelligent products and operational strategies. Customers are using our API for: - Demand forecasting model improvement - Dynamic pricing optimization - Workforce optimization - Inventory management improvements - Predictive analyitcs - Data centralization strategies

Datrium, Inc. develops and manufactures server flash storage systems, focusing on simplifying the multi-cloud data lifecycle for enterprises. The company's flagship product, the Datrium DVX system, integrates hyperconverged infrastructure with advanced data management capabilities, including built-in cloud backup and disaster recovery orchestration. Datrium also offers a range of products such as Data Cloud for data management, Blanket Encryption for secure private cloud storage, and DVX Rackscale systems which allow for flexible configurations with third-party compute nodes. The company's solutions enhance performance and security while facilitating administration of hybrid cloud infrastructures. Founded in 2012 and headquartered in Sunnyvale, California, Datrium operates as a subsidiary of VMware, Inc. as of July 2020.

DIRT Protocol is a platform designed for decentralized curation of trusted data sets, founded in 2017 and based in the United States. It operates by allowing users to contribute information similarly to how Wikipedia functions, while implementing a unique token staking mechanism to promote accuracy and honesty. Contributors must deposit tokens to submit data, which can be challenged by others if deemed incorrect. This system incentivizes users to provide accurate information, as correct data can be freely shared and incorrect data can be contested for rewards. By utilizing these principles, DIRT Protocol aims to create a reliable and accessible repository of information while discouraging the persistence of misinformation.

MDClone Ltd. is a company that specializes in developing software for analyzing medical records while ensuring the privacy of patient data. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients, which allows researchers to study disease behavior, healthcare practices, and treatment outcomes without exposing actual patient information. The MDClone ADAMS Platform provides a self-service data analytics environment that facilitates exploration, discovery, and collaboration across healthcare systems, both nationally and internationally. This innovative approach addresses common barriers in healthcare by enabling users to organize and access data efficiently, thereby improving operations and enhancing patient outcomes. MDClone serves various clients in the healthcare sector, including major health systems, payers, and life sciences organizations in the United States, Canada, and Israel.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

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.

Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

RedCarpet lends to customers in India to finance their online purchases - ecommerce, travel, etc. RedCarpetUp lends to customers in India that banks cannot see. In India, credit and finance companies are able to service less than 10% of the customer base because there is no data, no widespread credit bureaus to profile and score customers. RedCarpet has access to much more data, including data on your mobile phone. They use this data to service customers who never had any access to credit before. Today their customer segment is young, future-prime students in colleges who use RedCarpetUp to find credit to fund online purchases - ecommerce, travel, etc. Tomorrow they hope to unlock credit to all of India.

Datrium, Inc. develops and manufactures server flash storage systems, focusing on simplifying the multi-cloud data lifecycle for enterprises. The company's flagship product, the Datrium DVX system, integrates hyperconverged infrastructure with advanced data management capabilities, including built-in cloud backup and disaster recovery orchestration. Datrium also offers a range of products such as Data Cloud for data management, Blanket Encryption for secure private cloud storage, and DVX Rackscale systems which allow for flexible configurations with third-party compute nodes. The company's solutions enhance performance and security while facilitating administration of hybrid cloud infrastructures. Founded in 2012 and headquartered in Sunnyvale, California, Datrium operates as a subsidiary of VMware, Inc. as of July 2020.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Zaihui is a SaaS-based data-driven marketing automation solution for local businesses that offers them with member management, precipitation members, incentive members, and mining member values. Product system offers intelligent precision marketing, integral marketing, stored-value marketing, anniversary marketing, attendant performance, theme marketing activities, and brand packaging marketing. Zaihui is headquartered in China and the company was founded in 2015.

Alooma Ltd. is a data platform provider that enables users to build and manage data pipelines efficiently. Founded in 2013 and headquartered in Tel Aviv, Israel, with an additional office in California, the company allows data teams to integrate various data sources into a centralized data warehouse in real-time, primarily facilitating migration to Google Cloud services. Alooma supports numerous popular data sources and features a fault-tolerant, distributed architecture, providing users with visibility into their data pipelines, including monitoring of throughput, latency, and error rates. The platform also offers web and email notifications to alert users of any issues within their data pipelines, enhancing the overall data management and migration experience. As of March 2019, Alooma operates as a subsidiary of Google LLC.

Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

NuMedii is a biotechnology company that discovers and de-risks effective new drugs by translating life sciences big data into therapies. The Company’s proprietary and dynamic Big Data technology, developed in Atul Butte’s lab at Stanford University and licensed exclusively to NuMedii. It utilizes hundreds of millions of raw human, biological, pharmacological, and clinical data points. The company was founded in 2008 and headquartered in San Mateo, California.

Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

Alooma Ltd. is a data platform provider that enables users to build and manage data pipelines efficiently. Founded in 2013 and headquartered in Tel Aviv, Israel, with an additional office in California, the company allows data teams to integrate various data sources into a centralized data warehouse in real-time, primarily facilitating migration to Google Cloud services. Alooma supports numerous popular data sources and features a fault-tolerant, distributed architecture, providing users with visibility into their data pipelines, including monitoring of throughput, latency, and error rates. The platform also offers web and email notifications to alert users of any issues within their data pipelines, enhancing the overall data management and migration experience. As of March 2019, Alooma operates as a subsidiary of Google LLC.

EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

Origami Logic, Inc. is a marketing analytics company based in Mountain View, California, that offers a platform for measuring and optimizing marketing campaign investments across various channels. Founded in 2011, the company provides solutions that enable marketers to unify and analyze vast amounts of data from both online and offline marketing efforts, including web, email, social media, search, and video. By allowing users to search and organize their data in real-time, Origami Logic helps teams understand their marketing performance and identify areas for improvement. The company serves a diverse clientele, including well-known brands such as Procter & Gamble, HP, JCPenney, Intel, and Omni Hotels. In 2019, Origami Logic became a subsidiary of Intuit Inc. and is backed by prominent investors such as Accel Partners, Icon Ventures, NextWorld Capital, DAG Ventures, and Lightspeed Venture Partners.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

NuMedii is a biotechnology company that discovers and de-risks effective new drugs by translating life sciences big data into therapies. The Company’s proprietary and dynamic Big Data technology, developed in Atul Butte’s lab at Stanford University and licensed exclusively to NuMedii. It utilizes hundreds of millions of raw human, biological, pharmacological, and clinical data points. The company was founded in 2008 and headquartered in San Mateo, California.

Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Origami Logic, Inc. is a marketing analytics company based in Mountain View, California, that offers a platform for measuring and optimizing marketing campaign investments across various channels. Founded in 2011, the company provides solutions that enable marketers to unify and analyze vast amounts of data from both online and offline marketing efforts, including web, email, social media, search, and video. By allowing users to search and organize their data in real-time, Origami Logic helps teams understand their marketing performance and identify areas for improvement. The company serves a diverse clientele, including well-known brands such as Procter & Gamble, HP, JCPenney, Intel, and Omni Hotels. In 2019, Origami Logic became a subsidiary of Intuit Inc. and is backed by prominent investors such as Accel Partners, Icon Ventures, NextWorld Capital, DAG Ventures, and Lightspeed Venture Partners.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Slice is online shopping, smarter. Slice's technology automatically identifies e-receipts within inboxes and extracts every data point about every purchase to create digital commerce products that delight consumers and create business value for partners. Slice is transforming online shopping and retail by unveiling never-before-seen digital commerce data via its APIs, information products and consumer applications.

Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.

Transparency Software, Inc. provides information policy management solutions for security, auditing, and compliance. The company offers Transparency Vision, an information policy management solution that enables business users to monitor, audit, and secure access to business information and data resources. The company’s Transparency Vision automatically discovers the transactions that access data resources, as well as connects business processes and applications to the information access. Its Transparency Vision is based on data service recognition technology, Transparency SRT, which automatically discovers, monitors, and reports on the service interactions between applications and database systems. The company was founded in 2004 and is based in Palo Alto, California.

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.