Lightspeed Israel

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.

Tollbit is a technology company that operates a content monetization platform. This platform enables artificial intelligence bots and data scrapers to directly pay websites for licensing their content, thereby protecting the health of the entire content ecosystem. The company's software monitors and blocks AI bot traffic, manages licensing deals, and helps digital publishers strategize their content by onboarding and charging scraping partners.

Trail Security, based in Tel Aviv, Israel, specializes in an intelligent data protection platform. It focuses on preventing data loss through AI-driven solutions, safeguarding sensitive data across cloud, endpoint, and network systems. The company employs real-time monitoring, automated classification, and machine learning to detect, block, and remediate potential data breaches, and to identify unusual user behavior. It provides real-time insights into data access and sharing, protecting data at rest, in use, and in transit. Currently, Trail Security operates in stealth mode.

XFactor is a corporate decision platform developer that uses artificial intelligence to assist with planning and strategy. The corporate platform syncs trillions of data points by combining historical and real-time key indicators from both internal and external sources in relevant marketplaces, allowing organizations to analyze sales success in real time continuously.

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.

Bluebirds is an AI-based data platform to find customer contacts that switched jobs.

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 offers a configuration management platform aimed at preventing data leaks and enhancing governance for businesses. The platform provides a unified control center that allows companies to manage configurations across diverse environments efficiently. It features a robust change management process that enables users to utilize a command line application for version control, facilitating updates, rollbacks, and formalized approvals. By focusing on the protection of sensitive data, CommandK supports organizations in maintaining compliance and security in their operations.

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 corporate decision platform developer that uses artificial intelligence to assist with planning and strategy. The corporate platform syncs trillions of data points by combining historical and real-time key indicators from both internal and external sources in relevant marketplaces, allowing organizations to analyze sales success in real time continuously.

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. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.

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.

Beta Data operates a software-as-a-service (SaaS) platform focused on financial big data. The platform offers a range of services, including customer acquisition, post-investment monitoring, financial advisory, and private fund searching. These services are designed to help clients gain deeper insights into the financial market and effectively manage their assets. By leveraging advanced data analytics, Beta Data aims to enhance decision-making and optimize investment strategies for its users.

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.

All Day Kitchens develops delivery-optimized kitchens that support restaurants in adapting to the digital, delivery, and pick-up landscape. By leveraging data, the company identifies and secures prime locations for cloud kitchens, allowing restaurants to expand their reach without significant upfront costs. Their platform facilitates the establishment of technical networks that enhance food delivery operations, enabling restaurants to thrive in a competitive market.

LeapYear Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning and monetization. LeapYear has collaborated with major corporations across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously restricted and siloed data sources.

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 is a developer of an artificial intelligence-powered platform designed to facilitate cross-company data collaboration securely and efficiently. The platform specializes in real-time data transformations, allowing users to seamlessly import and share data with external parties and systems. Its unique features include embeddable uploaders and a no-code interface that enables end-users to manage data without requiring technical expertise. Osmos employs advanced program synthesis to automatically learn and execute complex data transformations, such as conditional logic and multi-column joins, thereby eliminating the need for engineers to handle data wrangling. This streamlined approach helps companies of all sizes enhance their data relationships with customers, vendors, and partners.

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.

Black Lake Technologies is an innovative company focused on transforming manufacturing through advanced mobile, IoT, and web-based collaboration platforms. These platforms enable real-time data acquisition, visualization, monitoring, and analysis, facilitating seamless communication among factory staff, from management to assembly line workers. By providing algorithm-driven and easily configurable systems, Black Lake lowers the barriers for manufacturers to adopt data analytics, fostering self-innovation and enhancing operational efficiency. The company serves a diverse clientele, including medium-sized enterprises and Fortune 500 companies, streamlining their production processes. With significant venture backing and over CNY 100 million in funding, Black Lake is well-positioned to lead the evolution of smart factories and improve manufacturing cycles.

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.

Beta Data operates a software-as-a-service (SaaS) platform focused on financial big data. The platform offers a range of services, including customer acquisition, post-investment monitoring, financial advisory, and private fund searching. These services are designed to help clients gain deeper insights into the financial market and effectively manage their assets. By leveraging advanced data analytics, Beta Data aims to enhance decision-making and optimize investment strategies for its users.

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 Ltd. is a Tel Aviv-based company that specializes in cloud-based data warehousing as a service (DWaaS) designed for big data analytics. Established in 2016, Varada's platform enables data architects to enhance and optimize workloads through dynamic analysis and adaptive indexing, providing significant control over performance and costs. Its solution is tailored to support a wide range of analytical use cases at scale, positioning it as a competitor to major cloud platforms in the data warehousing space. Varada's technology leverages advanced system architecture and cost-effective pricing, incorporating flash and NVMe technologies, to facilitate interactive analytics on a petabyte scale, making it accessible for any SQL consumer to query various data sources efficiently.

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.

PredictHQ Limited is a provider of a Software-as-a-Service platform that focuses on event and business intelligence. Established in 2014 and based in Auckland, New Zealand, the company offers tools that help businesses understand and predict demand fluctuations caused by various real-world events, such as sports and severe weather. Its platform aggregates and verifies millions of demand causal factors, which are ranked by their predicted impact, enabling companies to enhance their forecasting accuracy and operational strategies. Through its API, web application, and chrome extension, known as FOCUS, PredictHQ serves notable clients like Uber, Booking.com, and Domino’s. Businesses utilize PredictHQ's services for a range of purposes, including improving demand forecasting models, optimizing dynamic pricing, and enhancing inventory management. By leveraging unique data and predictive technology, PredictHQ aids organizations in adapting to changing market dynamics and making informed decisions more rapidly.

Zaihui is a Chinese company founded in 2015 that specializes in providing a SaaS-based data-driven marketing automation solution tailored for local businesses. The company offers a comprehensive platform that includes member management, customer relationship management, and customized marketing strategies supported by big data. Zaihui's services enable local merchants, particularly in the restaurant sector, to enhance operational efficiency through features such as QR code ordering, online payment, and loyalty programs. The platform facilitates intelligent precision marketing, brand packaging, and various promotional activities, empowering small and medium-sized enterprises to establish their unique branding and improve customer engagement.

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 Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning and monetization. LeapYear has collaborated with major corporations across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously restricted and siloed data sources.

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 Ltd. is a Tel Aviv-based company that specializes in cloud-based data warehousing as a service (DWaaS) designed for big data analytics. Established in 2016, Varada's platform enables data architects to enhance and optimize workloads through dynamic analysis and adaptive indexing, providing significant control over performance and costs. Its solution is tailored to support a wide range of analytical use cases at scale, positioning it as a competitor to major cloud platforms in the data warehousing space. Varada's technology leverages advanced system architecture and cost-effective pricing, incorporating flash and NVMe technologies, to facilitate interactive analytics on a petabyte scale, making it accessible for any SQL consumer to query various data sources efficiently.

PredictHQ Limited is a provider of a Software-as-a-Service platform that focuses on event and business intelligence. Established in 2014 and based in Auckland, New Zealand, the company offers tools that help businesses understand and predict demand fluctuations caused by various real-world events, such as sports and severe weather. Its platform aggregates and verifies millions of demand causal factors, which are ranked by their predicted impact, enabling companies to enhance their forecasting accuracy and operational strategies. Through its API, web application, and chrome extension, known as FOCUS, PredictHQ serves notable clients like Uber, Booking.com, and Domino’s. Businesses utilize PredictHQ's services for a range of purposes, including improving demand forecasting models, optimizing dynamic pricing, and enhancing inventory management. By leveraging unique data and predictive technology, PredictHQ aids organizations in adapting to changing market dynamics and making informed decisions more rapidly.

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.

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 Chinese company founded in 2015 that specializes in providing a SaaS-based data-driven marketing automation solution tailored for local businesses. The company offers a comprehensive platform that includes member management, customer relationship management, and customized marketing strategies supported by big data. Zaihui's services enable local merchants, particularly in the restaurant sector, to enhance operational efficiency through features such as QR code ordering, online payment, and loyalty programs. The platform facilitates intelligent precision marketing, brand packaging, and various promotional activities, empowering small and medium-sized enterprises to establish their unique branding and improve customer engagement.

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 Chinese company founded in 2015 that specializes in providing a SaaS-based data-driven marketing automation solution tailored for local businesses. The company offers a comprehensive platform that includes member management, customer relationship management, and customized marketing strategies supported by big data. Zaihui's services enable local merchants, particularly in the restaurant sector, to enhance operational efficiency through features such as QR code ordering, online payment, and loyalty programs. The platform facilitates intelligent precision marketing, brand packaging, and various promotional activities, empowering small and medium-sized enterprises to establish their unique branding and improve customer engagement.

Evariant, Inc. is a healthcare technology company based in Farmington, Connecticut, founded in 2008. It provides a comprehensive platform designed to assist healthcare organizations in optimizing patient acquisition and retention while improving engagement with both patients and physicians. Evariant's solutions include tools for understanding patient demographics, managing marketing campaigns, and fostering two-way communication. The company offers a range of services, including analytics for tracking physician referral patterns, relationship management platforms for collaboration with healthcare providers, and recruitment tools for enhancing physician outreach. Additionally, Evariant provides digital media services, project management consulting, and a marketplace for healthcare analytics products. With a strong client base that includes over 1,000 hospitals nationwide, Evariant aims to drive growth and improve healthcare delivery by leveraging actionable intelligence and advanced data analytics.

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.

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.

Evariant, Inc. is a healthcare technology company based in Farmington, Connecticut, founded in 2008. It provides a comprehensive platform designed to assist healthcare organizations in optimizing patient acquisition and retention while improving engagement with both patients and physicians. Evariant's solutions include tools for understanding patient demographics, managing marketing campaigns, and fostering two-way communication. The company offers a range of services, including analytics for tracking physician referral patterns, relationship management platforms for collaboration with healthcare providers, and recruitment tools for enhancing physician outreach. Additionally, Evariant provides digital media services, project management consulting, and a marketplace for healthcare analytics products. With a strong client base that includes over 1,000 hospitals nationwide, Evariant aims to drive growth and improve healthcare delivery by leveraging actionable intelligence and advanced data analytics.

EverString, established in 2012 and headquartered in San Mateo, California, specializes in a predictive analytics platform designed for B2B companies. Its cloud-based SaaS solution identifies and engages customer prospects by tracking and analyzing user data patterns, developing custom predictive models, and monitoring prospect behaviors to reveal intent. The platform offers predictive scoring, demand generation, and advertisement targeting, aiding clients in building new pipelines and enhancing conversion rates. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.

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.

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, Inc. is a biotechnology company focused on discovering and developing drug candidates by leveraging life sciences big data technology. Founded in 2008 and headquartered in San Mateo, California, NuMedii utilizes an extensive array of biological, pharmacological, and clinical data to identify new therapeutic options and indications for existing drugs. The company aims to de-risk drug candidates by analyzing complex biological networks related to diseases, thereby addressing unmet medical needs. NuMedii collaborates with pharmaceutical companies for the clinical development and commercialization of its drug candidates, supported by strategic alliances with partners such as Aptalis Pharma and Three Lakes Partners, LLC.

Zaihui is a Chinese company founded in 2015 that specializes in providing a SaaS-based data-driven marketing automation solution tailored for local businesses. The company offers a comprehensive platform that includes member management, customer relationship management, and customized marketing strategies supported by big data. Zaihui's services enable local merchants, particularly in the restaurant sector, to enhance operational efficiency through features such as QR code ordering, online payment, and loyalty programs. The platform facilitates intelligent precision marketing, brand packaging, and various promotional activities, empowering small and medium-sized enterprises to establish their unique branding and improve customer engagement.

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.

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.

DataStax, Inc. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

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, established in 2012 and headquartered in San Mateo, California, specializes in a predictive analytics platform designed for B2B companies. Its cloud-based SaaS solution identifies and engages customer prospects by tracking and analyzing user data patterns, developing custom predictive models, and monitoring prospect behaviors to reveal intent. The platform offers predictive scoring, demand generation, and advertisement targeting, aiding clients in building new pipelines and enhancing conversion rates. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.

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.

Evariant, Inc. is a healthcare technology company based in Farmington, Connecticut, founded in 2008. It provides a comprehensive platform designed to assist healthcare organizations in optimizing patient acquisition and retention while improving engagement with both patients and physicians. Evariant's solutions include tools for understanding patient demographics, managing marketing campaigns, and fostering two-way communication. The company offers a range of services, including analytics for tracking physician referral patterns, relationship management platforms for collaboration with healthcare providers, and recruitment tools for enhancing physician outreach. Additionally, Evariant provides digital media services, project management consulting, and a marketplace for healthcare analytics products. With a strong client base that includes over 1,000 hospitals nationwide, Evariant aims to drive growth and improve healthcare delivery by leveraging actionable intelligence and advanced data analytics.

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. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

NuMedii, Inc. is a biotechnology company focused on discovering and developing drug candidates by leveraging life sciences big data technology. Founded in 2008 and headquartered in San Mateo, California, NuMedii utilizes an extensive array of biological, pharmacological, and clinical data to identify new therapeutic options and indications for existing drugs. The company aims to de-risk drug candidates by analyzing complex biological networks related to diseases, thereby addressing unmet medical needs. NuMedii collaborates with pharmaceutical companies for the clinical development and commercialization of its drug candidates, supported by strategic alliances with partners such as Aptalis Pharma and Three Lakes Partners, 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.

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.

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. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

DataStax, Inc. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

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 Technologies is a Chicago-based company that enhances online shopping by leveraging technology to organize user purchases. Its application automatically identifies e-receipts within users' email inboxes, extracting detailed data about each transaction. This process allows Slice to offer valuable digital commerce insights through its APIs, information products, and consumer applications. By transforming the way consumers manage and understand their purchases, Slice creates significant value for both its users and business partners, while also providing quality package tracking services.

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. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

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.

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.

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.

Data Sutram is a developer of a Business-to-Business Software-as-a-Service platform that assists organizations in achieving growth through personalized, data-driven insights. The platform provides tools for merchant acquisition, risk management, and live market analysis, leveraging proprietary technology powered by artificial intelligence and machine learning. By offering these innovative solutions, Data Sutram enables businesses to enhance their planning and operational execution, leading to improved efficiency and the potential for hypergrowth. Through its interactive features, the platform supports marketing, sales, and risk professionals in making informed decisions to drive their organizations forward.