Graft is a cloud-native platform that uses AI techniques to unlock the value of text, images, video, audio, and graphs. There is no requirement for machine learning skills, no need to hire a team, and no infrastructure to build or maintain.
Kumo.AI is a software-as-a-service platform specializing in artificial intelligence tailored for contemporary data management. The platform is designed to analyze relationships and patterns within data, leveraging machine learning to facilitate predictive modeling. By integrating seamlessly with modern cloud data warehouses, Kumo.AI supports a variety of graph formats, including nodes, edges, and properties. This functionality empowers scientists and analysts to generate faster, simpler, and more accurate predictions, enhancing decision-making processes across various industries.
NanoNets is machine learning API for developers which requires 1/10th of data and no machine learning expertise to train a model. Upload the data, wait for a few minutes and get a model you can query over their easy to use cloud API. Often companies do not have enough data to train a machine learning model on their own using state of the art algorithms as well as don't have enough data scientists to work on those problems. NanoNets solves both these problems for companies.
Evidence is a developer of an open-source business intelligence platform that allows analysts to create reports and dashboards using a markup language. This innovative approach enables users to establish a trusted, version-controlled reporting system, enhancing the reliability and consistency of outputs. The platform's superset of markdown includes a growing library of components, such as charts and graphs, which support SQL analysts in delivering comprehensive business insights. By moving away from traditional drag-and-drop interfaces, Evidence's solution empowers users to efficiently build and manage their reporting processes.
Dooly Research Ltd. is a Canadian company that specializes in developing an artificial intelligence-driven sales enablement platform designed to enhance the efficiency of sales teams. Founded in 2015, the Vancouver-based company offers software that automates the customer relationship management process by capturing, sharing, and organizing essential customer information. The platform facilitates the synchronization of digital notes, fields, and tasks directly with Salesforce, allowing sales and customer success teams to minimize time spent on administrative duties. By streamlining the flow of information from meetings and customer interactions, Dooly enables teams to focus more on closing sales and achieving core business objectives.
Provider of a search and discovery platform designed to access open-source projects. The company's platform combines in-class Technical Metadata with behavioral and social metadata built specifically for data scientists, data engineers, and AI practitioners, enabling data scientists, data engineers, and AI practitioners to access data in a hassle-free manner.
Developer of an integrated data catalog software designed to combine data sources into reproducible data images. The company's indexes offer diverse data sources, including both live databases and versioned data snapshots which help users to connect to the data delivery network and build versioned datasets from data, enabling data scientists and engineers to create, share and extend datasets in a simple and reproducible way.
Developer of an online search engine designed to provide summarized web content while protecting data privacy. The company's artificial intelligence-based engine provides real-time results and summaries while avoiding junk, fake reviews, biases, and unhelpful advertisements, enabling clients to find the information they are looking for faster in a cost-efficient way.
Dooly Research Ltd. is a Canadian company that specializes in developing an artificial intelligence-driven sales enablement platform designed to enhance the efficiency of sales teams. Founded in 2015, the Vancouver-based company offers software that automates the customer relationship management process by capturing, sharing, and organizing essential customer information. The platform facilitates the synchronization of digital notes, fields, and tasks directly with Salesforce, allowing sales and customer success teams to minimize time spent on administrative duties. By streamlining the flow of information from meetings and customer interactions, Dooly enables teams to focus more on closing sales and achieving core business objectives.
Census is a data automation platform that enables organizations to synchronize their data warehouses with various operational applications, such as Segment, Salesforce, and Marketo. The platform facilitates the unification, transformation, and distribution of customer data, ensuring that sales, marketing, and customer success teams have access to consistent information. By automating the data syncing process, Census eliminates the need for engineering resources, allowing teams to focus on their core activities. This capability enhances collaboration across departments and improves operational efficiency by ensuring that all tools and teams utilize the same up-to-date customer data.
Outlier AI, Inc. operates an automated business analysis platform that delivers insights based on data for organizations in consumer packaged goods, e-commerce, retail, and pharmaceuticals. Founded in 2015 and based in Oakland, California, Outlier offers a solution that not only enables businesses to make informed decisions but also continuously monitors their data to alert users of unexpected changes. The platform helps optimize marketing efforts, tracks shifts in buyer segments, identifies product development issues, and uncovers insights across various data sets, allowing businesses to make strategic, data-driven decisions with greater ease.
Developer of a data analysis platform designed to gather data from multiple sources and create custom reports. The company's platform imports and syncs all business data in a connected spreadsheet and then helps build custom reports, dashboards and apps directly from the sheet without coding, enabling businesses to analyze and make data-driven decisions faster.
Through streamlined data model and powerful query language, we make working with data productive, pleasant and efficient for developers and data engineers.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Golden is a developer of a self-constructing knowledge database used to accelerate discovery and education. The company uses and leverages human effort by using machine intelligence to make the process of gathering and communicating knowledge simpler. It combines a powerful search across several entities with fine-grain alerts to stay on top of changes, and semi-automatic research assistance for gaps in knowledge that enable people in organizations to stay current, understand and leverage the latest trends in their industry.
Developer of a fraud document detection platform designed to automate the process of identifying fraudulent documents. The company's platform uses a combination of natural language processing and computer vision to scan documents, enabling businesses in the financial services sector to streamline onboarding and underwriting processes, reduce fraud losses, and approve customers.
Developer of a fraud document detection platform designed to automate the process of identifying fraudulent documents. The company's platform uses a combination of natural language processing and computer vision to scan documents, enabling businesses in the financial services sector to streamline onboarding and underwriting processes, reduce fraud losses, and approve customers.
Outlier AI, Inc. operates an automated business analysis platform that delivers insights based on data for organizations in consumer packaged goods, e-commerce, retail, and pharmaceuticals. Founded in 2015 and based in Oakland, California, Outlier offers a solution that not only enables businesses to make informed decisions but also continuously monitors their data to alert users of unexpected changes. The platform helps optimize marketing efforts, tracks shifts in buyer segments, identifies product development issues, and uncovers insights across various data sets, allowing businesses to make strategic, data-driven decisions with greater ease.
DIRT Protocol, founded in 2017 and based in the United States, offers a platform for decentralized curation of trusted data sets. The protocol utilizes a token staking mechanism to promote honesty and accuracy in information sharing, distinguishing itself from traditional Token Curated Registries. Users can contribute data similarly to a collaborative platform like Wikipedia, but must stake tokens to ensure accountability. This economic incentive fosters a system where incorrect information can be challenged, allowing users to earn tokens for identifying inaccuracies. By organizing information registries, DIRT Protocol aims to maintain high-quality data while making it freely accessible, thereby reducing the prevalence of misinformation.
Etleap Inc., founded in 2012 and headquartered in San Francisco, California, offers an innovative ETL solution aimed at streamlining the creation of data pipelines. The company's software enables data analytics teams to efficiently build and manage data warehouses without extensive engineering resources or coding knowledge. By automating much of the ETL setup and maintenance, Etleap simplifies complex processes into manageable tasks that can be completed in about ten minutes. This approach enhances productivity for data analysts, allowing them to focus on extracting insights from data rather than on technical implementation. Overall, Etleap’s tools facilitate quicker integration of data from various sources, thereby increasing business value and accessibility to big data.
Golden is a developer of a self-constructing knowledge database used to accelerate discovery and education. The company uses and leverages human effort by using machine intelligence to make the process of gathering and communicating knowledge simpler. It combines a powerful search across several entities with fine-grain alerts to stay on top of changes, and semi-automatic research assistance for gaps in knowledge that enable people in organizations to stay current, understand and leverage the latest trends in their industry.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
NanoNets is machine learning API for developers which requires 1/10th of data and no machine learning expertise to train a model. Upload the data, wait for a few minutes and get a model you can query over their easy to use cloud API. Often companies do not have enough data to train a machine learning model on their own using state of the art algorithms as well as don't have enough data scientists to work on those problems. NanoNets solves both these problems for companies.
Skymind Inc. is a business intelligence and enterprise software company based in San Francisco, California, founded in 2014. The company specializes in developing solutions that classify, cluster, and predict outcomes across various data types, including text, images, video, time series, and sound, to identify patterns that can influence business decisions. Skymind is known for its open-source deep-learning framework, Deeplearning4j, which is designed for use in production environments, and ND4J, a scientific computing library optimized for performance and minimal memory usage. In addition to its core offerings, Skymind's technologies enable businesses to leverage advanced analytics and machine learning to enhance their operational efficiency and decision-making processes.
Skymind Inc. is a business intelligence and enterprise software company based in San Francisco, California, founded in 2014. The company specializes in developing solutions that classify, cluster, and predict outcomes across various data types, including text, images, video, time series, and sound, to identify patterns that can influence business decisions. Skymind is known for its open-source deep-learning framework, Deeplearning4j, which is designed for use in production environments, and ND4J, a scientific computing library optimized for performance and minimal memory usage. In addition to its core offerings, Skymind's technologies enable businesses to leverage advanced analytics and machine learning to enhance their operational efficiency and decision-making processes.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.
Incorta, Inc. is a data analytics company based in San Mateo, California, founded in 2013. It offers a unified platform designed to address complex data analytics challenges faced by enterprises. Incorta's Direct Data Platform enables organizations to acquire, enrich, analyze, and act on business data with exceptional speed and simplicity. The platform leverages a direct data mapping engine that enhances query performance, eliminates the need for costly join operations, and significantly reduces the time required to deploy new analytics applications. Incorta serves a diverse clientele, including Fortune 5 to Global 2000 companies, providing real-time operational analytics, embedded analytics, and dashboards tailored for various business needs. The company is backed by prominent investors such as GV, Kleiner Perkins, M12, Telstra Ventures, and Sorenson Capital, and its solutions are utilized by major brands like Broadcom, Vitamix, Equinix, and Credit Suisse.
Kimono is a way to turn websites into structured APIs from your browser in seconds. You don't need to write any code or install any software to extract data with Kimono. The easiest way to use Kimono is to add our bookmarklet to your browser's bookmark bar. Then go to the website you want to get data from and click the bookmarklet. Select the data you want and Kimono does the rest.
Ascend.io is a Palo Alto-based company that has developed an innovative platform for managing big data pipelines through its Autonomous Dataflow Service. This platform allows data engineers to create, scale, and operate Apache Spark-based data pipelines with significantly reduced coding requirements. It runs natively on major cloud services, including Microsoft Azure, Amazon Web Services, and Google Cloud Platform. By utilizing a combination of declarative configurations and automation, Ascend.io streamlines cloud infrastructure management, optimizes data pipelines, and minimizes maintenance throughout the data lifecycle. The company's solutions enable business managers to initiate projects, integrate with applications, and make informed decisions with ease. Ascend.io is supported by prominent venture capital firms and notable industry advisors, enhancing its position in the big data analytics landscape.
Interana Inc. is a company that specializes in developing a behavioral discovery and analysis platform. This platform allows users to investigate digital behavior, enabling data analysts and product managers to enhance onboarding experiences and feature utilization. Founded in 2013 and headquartered in Redwood City, California, Interana also has locations in Dallas, Texas, and Bellevue, Washington. The company's technology is designed to analyze vast amounts of data quickly, helping organizations understand customer behavior and product usage effectively.
Quid, Inc. is a technology company that has developed a platform designed to search, analyze, and visualize collective intelligence to address strategic questions. Founded in 2006 and headquartered in San Francisco, with additional offices in New York and London, Quid's platform specializes in analyzing text-based data using artificial intelligence and Natural Language Processing. It processes large datasets, including patents, news articles, and blog posts, to identify patterns and insights, facilitating informed decision-making for users in various sectors such as marketing, consulting, technology, healthcare, and financial services. The platform allows non-technical users to independently access valuable information and generate unique insights. In January 2020, Quid merged with NetBase Solutions, combining their strengths under the name Netbase Quid.
Simon Data is the enterprise Customer Data Platform (CDP) that empowers brands to deliver data-driven, personalized customer experiences anywhere.The platform leverages enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop and deliver incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure. At Simon, our goal is to improve and optimize customer experiences by making the entire process, experimentation through analysis, a data-driven one.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
Datahug Limited, also known as CRM Pulse Ltd, specializes in sales optimization solutions designed to enhance the productivity and accuracy of sales teams. Founded in 2009 and based in Dublin, Ireland, with an additional office in Washington DC, the company offers various tools including collaborative forecasting and pipeline management solutions. Datahug utilizes machine learning algorithms to automatically analyze deal activity, providing actionable insights that help sales representatives close deals more effectively. Its features include Pipeline Management, which assesses deals based on factual data, and Forecast Rollup, which maintains an up-to-date company-wide forecast. Additionally, Datahug provides Activity Tracking to monitor team engagement and Coaching Metrics to guide sales personnel in achieving their targets. By leveraging these tools, organizations can significantly improve forecast accuracy and close rates, ultimately driving revenue growth. Datahug operates as a subsidiary of Callidus Software Inc. since November 2016.
Interana Inc. is a company that specializes in developing a behavioral discovery and analysis platform. This platform allows users to investigate digital behavior, enabling data analysts and product managers to enhance onboarding experiences and feature utilization. Founded in 2013 and headquartered in Redwood City, California, Interana also has locations in Dallas, Texas, and Bellevue, Washington. The company's technology is designed to analyze vast amounts of data quickly, helping organizations understand customer behavior and product usage effectively.
Sift is a technology company specializing in fraud detection and prevention through its advanced machine learning platform. Founded in 2011 and based in San Francisco, California, Sift's software helps businesses monitor their online traffic in real-time, providing instant alerts for fraudulent activities. The platform enables clients to send various events to receive fraud scores, utilizing a JavaScript snippet to capture on-page activities and a REST API for reporting transactions. In addition to its fraud prevention services, Sift operates as an online publisher, managing a portfolio of business communities and providing website solutions to a range of organizations, including accounting firms in the UK. With a commitment to digital trust and safety, Sift supports companies in unlocking revenue while mitigating risks associated with fraud.
Periscope Data Inc. is a data analytics and visualization platform founded in 2012 and headquartered in San Francisco, California. The company specializes in providing powerful analytics tools that allow users to ingest, store, analyze, visualize, and report on data from a single platform. Periscope Data's technology integrates directly with databases, enabling users to conduct analyses, create dashboards, and share insights without the need for complex programming or upfront modeling. The platform is designed for both data professionals and business users, facilitating quick access to insights that support data-driven decision-making. Trusted by over 1,000 customers, including major companies such as Adobe and EY, Periscope Data has demonstrated strong customer retention and engagement, with users reportedly spending significant time utilizing the platform. In May 2019, Periscope Data became a subsidiary of Sisense Inc., further enhancing its capabilities in the analytics space.
Judicata is mapping the legal genome—i.e. using highly specialized case law parsing and algorithmically assisted human review to turn unstructured court opinions into structured data. We are leveraging that data to build legal research and analytics tools that are an order of magnitude better than existing offerings. Great legal technology will never replace lawyers, but it can help them make sense of massive amounts of information and aid them in exercising their skilled, human judgment.
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.
Stitch, Inc. is a managed ETL service designed for developers and small businesses, enabling seamless integration of various data sources. Founded in 2016 and headquartered in Philadelphia, Pennsylvania, Stitch facilitates the connection to a range of databases, such as MongoDB and MySQL, as well as SaaS tools like Salesforce and Zendesk. By streamlining the process of data replication to warehouses, Stitch allows developers to provision data for analysts and team members swiftly, often within minutes. The company operates as a subsidiary of Talend Inc. since November 2018.
RJMetrics is a business intelligence software provider that addresses the analytical challenges faced by high-growth online companies. By consolidating data from various sources such as backend databases, marketing platforms, CRM systems, and e-commerce platforms into a cloud-based data warehouse, RJMetrics enables users to manage and analyze their data effectively. The platform offers an intuitive user interface that facilitates exploration and actionable insights, helping businesses gain a comprehensive understanding of their customer life-cycle. This holistic approach allows organizations to leverage data for informed decision-making and to optimize their operations in a data-driven environment.
Freshplum is a company that specializes in data analytic software aimed at enhancing decision-making for businesses involved in electronic commerce. By offering revenue analytic tools, Freshplum empowers companies to leverage data science to optimize their sales strategies and improve overall performance. The focus is on delivering insights that help businesses better understand their revenue streams and make informed decisions to drive growth.
Kaggle Inc. operates a leading platform for data prediction competitions and is recognized as the world's largest community of data scientists. Founded in 2010 and based in San Francisco, California, Kaggle allows organizations to post their data for analysis by expert data scientists, thereby offering statistical and analytics outsourcing solutions. The platform facilitates competitions where data scientists apply advanced machine learning techniques to address complex problems, delivering valuable insights and business results. Kaggle serves a diverse clientele, including companies, governments, and researchers, with notable impacts across various industries such as energy, life sciences, financial services, aviation, information technology, and retail. In 2017, Kaggle became a subsidiary of Google, further enhancing its capabilities and reach in the data science field.
Sift is a technology company specializing in fraud detection and prevention through its advanced machine learning platform. Founded in 2011 and based in San Francisco, California, Sift's software helps businesses monitor their online traffic in real-time, providing instant alerts for fraudulent activities. The platform enables clients to send various events to receive fraud scores, utilizing a JavaScript snippet to capture on-page activities and a REST API for reporting transactions. In addition to its fraud prevention services, Sift operates as an online publisher, managing a portfolio of business communities and providing website solutions to a range of organizations, including accounting firms in the UK. With a commitment to digital trust and safety, Sift supports companies in unlocking revenue while mitigating risks associated with fraud.
Quid, Inc. is a technology company that has developed a platform designed to search, analyze, and visualize collective intelligence to address strategic questions. Founded in 2006 and headquartered in San Francisco, with additional offices in New York and London, Quid's platform specializes in analyzing text-based data using artificial intelligence and Natural Language Processing. It processes large datasets, including patents, news articles, and blog posts, to identify patterns and insights, facilitating informed decision-making for users in various sectors such as marketing, consulting, technology, healthcare, and financial services. The platform allows non-technical users to independently access valuable information and generate unique insights. In January 2020, Quid merged with NetBase Solutions, combining their strengths under the name Netbase Quid.
TalentBin is a talent search engine designed for technical recruiters and hiring managers to locate passive candidates. Founded in 2011 and based in San Francisco, California, the platform provides access to a comprehensive database of candidates. It includes detailed information about candidates' professional and personal interests, as well as personal email addresses and social communication channels. Additionally, TalentBin offers organizational tools that help recruiters manage their hiring processes through notes, stages, tasks, and reminders. This functionality enables more efficient and targeted recruitment efforts.
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.
YipitData is the on-demand, 100+ person data team for hundreds of the largest hedge funds, mutual funds, pension funds, private equity funds, family offices, sovereign wealth funds, and venture capital funds in the world. The company's platform uses proprietary systems and methodologies to collect terabytes of public data every day that enable granular and accurate analyses of the business performance, strategic initiatives, and competitive market dynamics, enabling institutional investors to make better investment decisions.
Cloudera develops a data management and analytics platform. They specialize in delivering a hybrid data platform with secure data management and cloud-native data analytics. They provide software subscriptions and public cloud services. They also provide clients with professional services for the implementation and use of software subscriptions, machine learning expertise, consultation, training, and education services.
Adara, the global leader in permissioned data and verified identity, combines the power of global data consortiums to inform its 1 billion digital identities with over 22 billion data elements across 130 countries and serving Global 2,000 customers. Whether informing digital marketing, programmatic advertising, search, identity and verification, or stopping fraud, Adara provides you with more customers, less friction, and better outcomes. For more information, visit us at www.ADARA.com.
Kanjoya, Inc. operates a workforce intelligence and management platform for enterprise companies. The company offers employee engagement solutions that enable companies to capture feedback, analyze results in real-time, and distribute critical intelligence; Kanjoya Perception that reveals employee emotions, attitude, and intent, as well as predicts behavior; Workday directory that guides employee surveys and performance review insights; and Perception for Performance, a tool that managers use to evaluate, reward, and motivate employees. Its solutions deliver authoritative data and direction that address workforce-related challenges that companies face. Kanjoya, Inc. was formerly known as Experience Project, Inc. The company was founded in 2006 and is based in San Francisco, California. As of September 29, 2016, Kanjoya, Inc. operates as a subsidiary of The Ultimate Software Group, Inc.
Mint is a self-hosted web analytics program designed for simplicity and ease of use. It provides a flexible dashboard that allows users to monitor key metrics such as visits, referrers, popular pages, and search queries at a glance. In addition to its analytics capabilities, Mint also offers a free online personal finance service that enables users to track their bank accounts, credit cards, investments, and loans through a single interface. This functionality allows clients to review their transactions and monitor their spending effectively, supporting them in managing and growing their financial resources.
Code Green Networks, Inc. provides data loss prevention (DLP) solutions that help enterprises to protect and manage regulated and other sensitive digital information across their data network. The company offers TrueDLP, a DLP solution that allows corporations to discover, monitor, control, and secure sensitive data on the network, in use on desktops or laptops, at rest on end-user devices and network servers, or stored in the cloud. Its TrueDLP solution consists of Network DLP, Endpoint DLP, Discovery DLP, and Cloud DLP. The company offers its DLP solutions as virtual appliances through software licenses, as well as hardware appliances. Its solutions are used to address the security issues faced by enterprises, such as cloud storage protection, cyber security, and regulatory compliance. Code Green Networks serves businesses in healthcare, financial services, government, credit union, retail, and other industries in the United States and internationally. The company was founded in 2004 and is headquartered in Sunnyvale, California. As of September 1, 2015, Code Green Networks, Inc. operates as a subsidiary of Digital Guardian, Inc.
Aster Data Systems is a notable leader in big data management and analytics, specializing in solutions that enable businesses to analyze and derive value from large datasets. The company's flagship product, nCluster, is a pioneering Massively Parallel Processing (MPP) data warehouse architecture that integrates application logic within the database engine, facilitating rapid and in-depth analysis of extensive data. Aster Data employs its proprietary SQL-MapReduce technology to optimize parallel data processing, effectively addressing the challenges associated with big data. The company serves a diverse clientele, including notable firms in various industries, and offers a range of services encompassing analytics, data loading, query performance, and support. Headquartered in San Carlos, California, Aster Data is supported by several prominent venture capital firms and influential industry figures.