DropStat is a technology company that offers an app-based platform designed to optimize staffing for hospitals. Founded in 2017 and headquartered in Beverly Hills, California, DropStat utilizes artificial intelligence and machine learning to predict and autonomously fill staffing gaps, allowing healthcare facilities to manage labor costs more effectively. By streamlining the process of calling staff for open shifts, the platform eliminates the need for traditional communication methods such as calls and texts, thereby enhancing efficiency and reducing financial waste. In addition to improving operational processes, DropStat prioritizes data security, ensuring that sensitive information is protected both in the system and during transmission. The company's mission is to modernize shift communication, ultimately aiming to enhance both patient and staff satisfaction.
Heyday is an AI copilot that transforms your documents, notes, and conversations into quotes, shareable content, and a queryable database.
Moises is an audio-tech company that leverages machine learning and data science in relation to music & audio processing.
Included is a platform designed to enhance diversity, equity, and inclusion (DEI) within organizations by providing comprehensive employee analytics. The platform gathers and analyzes demographic data throughout the employee lifecycle, offering insights into performance and engagement. By leveraging a machine learning-driven projection engine, Included identifies trends and generates actionable recommendations to help organizations improve their DEI initiatives. This all-in-one solution enables companies to effectively measure their diversity efforts, track progress, and connect with their workforce, ultimately supporting the scaling of their diversity programs and enhancing employee retention.
ODAIA Intelligence Inc. is a Canadian company that specializes in developing an artificial intelligence-based platform for customer engagement analysis. Founded in 2018 and headquartered in Toronto, ODAIA offers a cloud-based software as a service (SaaS) platform that enables enterprise clients to automate the mapping of customer touchpoints and journeys. Utilizing advanced techniques in big data mining, process journey mapping, and machine learning, the platform provides insights into customer behavior, predicts future actions, and identifies potential churn. ODAIA simplifies data ingestion and normalization from various sources, offering an intuitive dashboard for visualizing insights and predictions. The company was established by a team of academics and industry professionals, including members from the University of Toronto and the University of Lausanne, whose research has been widely recognized in the field.
We manage visual data so companies can make machines learn better
Verge Genomics focuses on accelerating drug discovery for neurodegenerative diseases through the use of artificial intelligence and genomic data. The company has developed a platform that leverages machine learning to analyze large datasets, identifying genetic targets and predicting effective therapeutics. By mapping genes associated with various neurodegenerative conditions, Verge aims to discover drugs that can simultaneously target multiple genetic factors. Founded by experts in machine learning and neuroscience, Verge Genomics seeks to improve patient outcomes and reduce the costs associated with pharmaceutical development. The company is based in Mountain View, California, and has formed a strategic alliance with Datavant to enhance its data-driven approach.
Developer of a self-learning artificial intelligence-based decision engine designed to make promotions profitable. The company's engine allows users to divide customers into different segments and find the suitable offer for each segment using machine learning, enabling business owners to send personalized offers to customers and continuously learn from customers' responses.
Databento is a Boston-based platform founded in 2019 that specializes in providing institutional-quality market and alternative data. The company focuses on delivering both live and historical data through its colocation platform, which simplifies and accelerates access to this information. By automating data licensing processes, Databento significantly reduces onboarding time, allowing clients to efficiently capture and utilize high-fidelity financial data directly from the source. This capability enables businesses and financial institutions to access real-time exchange feeds and vast amounts of historical data while minimizing storage costs and avoiding latency issues.
Civis Analytics, Inc. is a Chicago-based company that specializes in data science software designed to help organizations make informed, data-driven decisions. The company offers a comprehensive suite of tools, including the Civis platform, which provides predictive analytics and end-to-end data science capabilities. Additional offerings include the Community Outreach and Engagement Hub, which assists government and nonprofit organizations in effectively reaching and influencing their target audiences; the Census Intelligence Center, a resource for census coordinators and related entities; and various tools for audience targeting, message testing, and media optimization. Civis Analytics also provides consulting services in consumer insights, market research, and data science to enhance organizations' strategic capabilities. Founded in 2013, Civis Analytics has established itself as a leader in analytics solutions for nonprofit, commercial, and government sectors.
Glean Analytics Inc. specializes in providing an AI-powered spend management solution designed for small and mid-market companies. Founded in 2019 and based in New York, Glean offers a comprehensive platform that helps finance teams track their spending in real time, compare expenses against budgets, and identify cost drivers. The solution provides proactive alerts for potential savings and irregular spending patterns, enabling users to gain insights into their expenditures at a granular level. By analyzing expense data, Glean assists organizations in uncovering overlooked opportunities for cost reduction and optimizing their vendor spending.
Akiba Digital is a financial data aggregation company, that houses a data consolidation and enrichment engine that clusters, visualises and predicts consumer behaviour. Our vision is to build a company that is most effective at understanding and enhancing personal financial management for the African consumer.
Glean Analytics Inc. specializes in providing an AI-powered spend management solution designed for small and mid-market companies. Founded in 2019 and based in New York, Glean offers a comprehensive platform that helps finance teams track their spending in real time, compare expenses against budgets, and identify cost drivers. The solution provides proactive alerts for potential savings and irregular spending patterns, enabling users to gain insights into their expenditures at a granular level. By analyzing expense data, Glean assists organizations in uncovering overlooked opportunities for cost reduction and optimizing their vendor spending.
Nomad Data, founded in 2020 and based in New York, specializes in developing a data management platform that facilitates connections between data buyers and sellers. The platform offers cloud-based tools for data discovery and includes a search engine to help users navigate internal business information. By structuring data files and tracking activities, Nomad Data enables businesses to access differentiated data, enhancing decision-making, marketing, storytelling, and customer visibility. This approach aims to empower clients to make informed decisions using the wealth of data available to them.
Data.World, Inc. operates an open data platform that facilitates the discovery and understanding of data across various sectors, including finance, education, and environment. Founded in 2015 and based in Austin, Texas, the platform allows users to minimize data wrangling, ingest and export diverse formats, and share insights in context, thereby enhancing collaboration and visibility in data projects. It features a cloud-native data catalog that connects siloed data with consistent business concepts, making it accessible for all users, not just data specialists. Data.World also hosts a large collaborative data community, where participants engage in projects ranging from social bot detection to data journalism. As a Public Benefit Corporation, Data.World aims to balance its mission with shareholder interests, promoting ethical data practices and fostering an inclusive environment for experimentation and accountability.
Quilt Data, Inc., founded in 2015 and based in San Francisco, California, operates a cloud-based platform that facilitates crowdsourced data collection and organization. The platform is designed to enable collaboration across all levels of an organization, empowering employees beyond data scientists to engage with data efficiently and effectively. By providing tools for managing code, sharing insights, and conducting analytics, Quilt enhances the decision-making process, allowing companies to act swiftly and gain a competitive edge in a data-driven landscape. Additionally, Quilt offers custom information development and training, supporting teams in machine learning and computational biology to iterate quickly, minimize errors, and deploy sophisticated models.
Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.
pulseData, Inc. is a New York-based company founded in 2015 that specializes in developing machine learning software tailored for healthcare providers. The company's platform leverages adaptive and predictive data science tools to identify patients at risk of adverse medical outcomes, enabling healthcare organizations to deliver targeted care to those who need it most. By analyzing vast amounts of data, including individual patient information and population patterns, pulseData aids care management teams in providing timely and effective interventions. This approach not only enhances patient care but also aims to reduce preventable illnesses and optimize medical cost savings for healthcare enterprises.
Developer of enterprise software designed to transform business activities into actionable insights that drive growth. The company's software accesses the sourcing pipeline of leading venture firms, targets new accounts, leads, and customer intent signals before competitors, and tracks the strategic movements of companies and professionals with customizable workflows and alerts, enabling clients to automate sourcing and networking.
Mage is a tool that helps developers use AI and their data to make predictions. Use cases include churn prevention, product recommendations, customer lifetime value, and more. Our mission is to equip businesses with accessible AI technology so they can deliver transformational customer experiences. A mage is someone who uses magic. Advanced technology is indistinguishable from magic. We empower individuals with magic by equipping them with AI technology.
Divinia is a company founded in 2020 in Cupertino, California, that focuses on enhancing the search experience for consumers, marketers, and e-commerce platforms through advanced Natural Language Processing technologies. By utilizing AI-driven methods such as Unsupervised Learning and Sentiment Analysis, Divinia aims to deliver accurate and unbiased search results at scale. The company's software effectively extracts and indexes genuine insights from online reviews, allowing businesses to provide tailored product suggestions and improve their search functionalities. This innovative approach not only enhances the consumer experience but also leads to increased conversion rates and valuable lead generation opportunities for marketers and e-commerce sites.
Civis Analytics, Inc. is a Chicago-based company that specializes in data science software designed to help organizations make informed, data-driven decisions. The company offers a comprehensive suite of tools, including the Civis platform, which provides predictive analytics and end-to-end data science capabilities. Additional offerings include the Community Outreach and Engagement Hub, which assists government and nonprofit organizations in effectively reaching and influencing their target audiences; the Census Intelligence Center, a resource for census coordinators and related entities; and various tools for audience targeting, message testing, and media optimization. Civis Analytics also provides consulting services in consumer insights, market research, and data science to enhance organizations' strategic capabilities. Founded in 2013, Civis Analytics has established itself as a leader in analytics solutions for nonprofit, commercial, and government sectors.
Unlearn is a San Francisco-based company founded in 2017 that specializes in using artificial intelligence to enhance clinical research. It develops innovative software tools aimed at improving clinical trial design, including the creation of Digital Twins to generate Intelligent Control Arms. By utilizing historical datasets and disease-specific machine-learning models, Unlearn produces virtual placebo patients derived from actual patient baseline data, which helps to increase trial power, accelerate timelines, and provide patient-level insights. This approach reduces or eliminates the need for concurrent control arms in clinical studies, streamlining the research process. Unlearn has garnered significant attention, securing $20 million in funding and collaborating with leading pharmaceutical companies. Its work has been recognized in prestigious publications, including a peer-reviewed article in Nature, and it has been acknowledged as a key player in digital health innovation. The company continues to engage with regulators and industry leaders to drive advancements in clinical research through the application of AI technologies.
Citrine Informatics, Inc. is a technology company that operates an artificial intelligence platform focused on materials development. Established in 2013 and headquartered in Redwood City, California, with an additional office in Pittsburgh, Pennsylvania, the company specializes in aggregating and analyzing extensive technical data related to materials, chemicals, and devices. Its platform leverages machine learning and data science to enhance research and development, manufacturing, and supply chain operations for organizations involved in physical product production. By facilitating the discovery of new materials and identifying defects early in the research process, Citrine Informatics aims to streamline product growth and design, thereby transforming the materials and chemicals development landscape.
Gradient is an easy to use reinforcement learning powered decision making platform.
Data.World, Inc. operates an open data platform that facilitates the discovery and understanding of data across various sectors, including finance, education, and environment. Founded in 2015 and based in Austin, Texas, the platform allows users to minimize data wrangling, ingest and export diverse formats, and share insights in context, thereby enhancing collaboration and visibility in data projects. It features a cloud-native data catalog that connects siloed data with consistent business concepts, making it accessible for all users, not just data specialists. Data.World also hosts a large collaborative data community, where participants engage in projects ranging from social bot detection to data journalism. As a Public Benefit Corporation, Data.World aims to balance its mission with shareholder interests, promoting ethical data practices and fostering an inclusive environment for experimentation and accountability.
Unlearn is a San Francisco-based company founded in 2017 that specializes in using artificial intelligence to enhance clinical research. It develops innovative software tools aimed at improving clinical trial design, including the creation of Digital Twins to generate Intelligent Control Arms. By utilizing historical datasets and disease-specific machine-learning models, Unlearn produces virtual placebo patients derived from actual patient baseline data, which helps to increase trial power, accelerate timelines, and provide patient-level insights. This approach reduces or eliminates the need for concurrent control arms in clinical studies, streamlining the research process. Unlearn has garnered significant attention, securing $20 million in funding and collaborating with leading pharmaceutical companies. Its work has been recognized in prestigious publications, including a peer-reviewed article in Nature, and it has been acknowledged as a key player in digital health innovation. The company continues to engage with regulators and industry leaders to drive advancements in clinical research through the application of AI technologies.
StoryFit Inc. offers artificial intelligence insights and machine learning solutions for the book publishing, movie, and television production industries. The company’s products include StoryFit Metadata and StoryFit Analytics, which enables the publisher to analyze the metadata using artificial intelligence and provide insights related to audience targeting, reader personas, writing evaluation, faceted comps, and informed marketing intelligence. StoryFit Inc. was incorporated in 2014 and is headquartered in Austin, Texas.
Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.
Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.
Ampool is on a mission to enable real-time data-intensive applications and to reduce time to actionable insights through a distributed, memory-centric active data store. In the last decade, Hadoop and NoSQL data stores have deconstructed the database, separating persistence, metadata management, query engines, resource scheduling, cluster management, and monitoring. In a similar way, Ampool aims to democratize in-memory multi-modal analytical processing, paving way to a unified real-time analytics platform. Ampool Active Data Store is designed to support stream ingestion and analytics, analytical/batch processing, transactions, and interactive/ad-hoc queries, all from a single memory-centric store. Powered by Apache Geode™, it offers low overhead, lightning fast, in-memory performance for data-driven applications without compromising on reliability and availability.
StoryFit Inc. offers artificial intelligence insights and machine learning solutions for the book publishing, movie, and television production industries. The company’s products include StoryFit Metadata and StoryFit Analytics, which enables the publisher to analyze the metadata using artificial intelligence and provide insights related to audience targeting, reader personas, writing evaluation, faceted comps, and informed marketing intelligence. StoryFit Inc. was incorporated in 2014 and is headquartered in Austin, Texas.
Downstream Impact Inc. specializes in developing software designed to enhance brands' presence on Amazon. Founded in 2017 and based in Seattle, Washington, the company provides a comprehensive Amazon advertising suite that includes paid search services, analytics, automation, and catalog optimization. By leveraging machine learning, Downstream enables brands to effectively manage their advertising efforts, automating inputs and translating outputs to maximize market share and profitability in the competitive e-commerce landscape.
BlastPoint is a data solutions company that specializes in providing a predictive AI-powered platform aimed at optimizing revenue growth for various industries. Founded in 2016 and headquartered in Pittsburgh, Pennsylvania, the company offers a user-friendly, customizable software platform that continuously updates to meet the evolving needs of its clients. BlastPoint serves a diverse range of sectors, including retail, utilities, emerging franchises, and nonprofit organizations. Its platform empowers businesses to discover, target, and engage with customers effectively, generating immediate insights into customer engagement challenges and enabling organizations to identify trends and unlock critical information specific to their markets.
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.
Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively.
Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
Dataminr, Inc. is a real-time information discovery service that specializes in transforming publicly available data into actionable insights for its clients. Founded in 2009 and based in New York, the company employs an AI platform to detect early signs of high-impact events and emerging risks from a diverse array of sources, including social media, blogs, and the dark web. Its flagship product, Dataminr, provides tailored alerts for various sectors, including finance, news, security, and crisis management. For instance, Dataminr for News enables journalists to receive personalized signals based on specific topics and regions, while Dataminr for Finance offers relevant content streams for financial professionals. The platform is adept at identifying critical information related to incidents, threats, and disruptions, empowering businesses to respond promptly to evolving situations such as terrorist threats, social unrest, and extreme weather events. Through its innovative solutions, Dataminr ensures that clients have the necessary information to act confidently in a rapidly changing environment.
Datanomix, Inc., based in Nashua, New Hampshire, develops a software platform tailored for industrial manufacturers to enhance productivity in manufacturing environments. Founded in 2015, the company focuses on the global Industry 4.0 and Industrial Internet of Things (IIoT) transformations. Its Manufacturing Analytics platform integrates machine data streams from the shop floor to generate actionable insights for decision-makers. By providing an intuitive analytics framework, Datanomix helps manufacturers understand key factors affecting costs, process variation, product quality, and predictive maintenance. This approach extends the value of traditional data visualization and productivity tools, empowering manufacturers of all sizes with robust decision-making capabilities aimed at improving production, performance, and profitability.
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.
Sqrrl Data, Inc. specializes in software solutions that empower security analysts to identify and investigate advanced cyber threats. Founded in 2012 and headquartered in Cambridge, Massachusetts, the company offers Sqrrl Enterprise, a platform that integrates link analysis, user and entity behavior analytics, and scalability to support threat hunting. This platform helps organizations detect unusual activities and uncover hidden connections within large datasets, facilitating proactive threat detection and response. Sqrrl's technology leverages big data tools, including Hadoop and machine learning, to enhance cybersecurity efforts against complex attacks such as cyber-espionage and insider threats. The company's solutions are distributed through various channels, including managed security service providers and technology partners, serving customers worldwide. As of 2018, Sqrrl operates as a subsidiary of Amazon Web Services, Inc.
Bedrock Data provides the leading product to connect, clean and continuously synchronize multiple cloud systems in real-time. Bedrock Data connects multiple business applications while cleaning dirty data for improved team alignment, greater agility and a single view of the customer. By eliminating complex and expensive system integrations, Bedrock Data’s common-sense approach speeds and simplifies cloud connections for hundreds of its customers worldwide.
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.
Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively.
Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.
Dataminr, Inc. is a real-time information discovery service that specializes in transforming publicly available data into actionable insights for its clients. Founded in 2009 and based in New York, the company employs an AI platform to detect early signs of high-impact events and emerging risks from a diverse array of sources, including social media, blogs, and the dark web. Its flagship product, Dataminr, provides tailored alerts for various sectors, including finance, news, security, and crisis management. For instance, Dataminr for News enables journalists to receive personalized signals based on specific topics and regions, while Dataminr for Finance offers relevant content streams for financial professionals. The platform is adept at identifying critical information related to incidents, threats, and disruptions, empowering businesses to respond promptly to evolving situations such as terrorist threats, social unrest, and extreme weather events. Through its innovative solutions, Dataminr ensures that clients have the necessary information to act confidently in a rapidly changing environment.