Viable Fit develops a structured user platform designed to use historical qualitative data to answer new questions instantly. Viable Fit offers a custom-branded survey, measures product/market fits, automatically segments customers into groups, and discovers user feedbacks based on keywords, thereby enabling businesses to get valuable suggestions from customers more accurately.
Woflow is a developer of a merchant data platform that specializes in transforming flat images into structured data with enhanced speed and accuracy. Utilizing a combination of pattern recognition AI and human augmentation, Woflow's technology significantly outpaces traditional manual transcription methods. The platform features a task automation system that efficiently divides large, complex projects into manageable, trainable tasks that can be executed asynchronously. This innovative approach allows clients to maintain and create structured data at scale, ultimately improving customer experience and supporting sustained business growth.
Developer of a collaborative knowledge management tool designed to make data teams share metadata, queries, charts, and documentation. The company's platform helps employees find and understand the right information in a few time, and track the relationships between people and data to help users visualize all the interactions between the different collaborators of the enterprise, enabling users to implement data discovery efficiently.
Datasembly, Inc. is a data analytics company based in Washington, D.C., founded in 2014. It specializes in processing web data into structured formats, focusing on grocery and retail pricing information. By aggregating data from numerous grocery delivery and online shopping platforms, Datasembly collects detailed pricing records for products sold in stores on a daily basis. This information is crucial for consumer packaged goods (CPG) companies, retailers, and quick-service restaurants, allowing them to make informed and efficient business decisions. Utilizing advanced technologies, including natural language processing and machine learning, Datasembly transforms complex, volatile data into customized reports. This data services model supports various applications, including market research and economic indicators, ultimately empowering organizations to navigate the retail landscape effectively.
People Data Labs is a technology company that focuses on providing a comprehensive platform for enterprises to manage and utilize people data effectively. The platform offers APIs and access to over one billion clean person records, enabling organizations to enhance their data analytics capabilities. It serves various functions, including enriching person profiles, standardizing existing data, and improving searchability across multiple applications such as sales and marketing, investment research, fraud detection, and talent acquisition. By acting as a data partner for data science and engineering teams, People Data Labs supports the development of innovative, data-driven products and services at scale.
Trellis Research, Inc. is a provider of legal data and analytics specifically designed for law firms. Founded in 2017 and based in Los Angeles, California, the company specializes in offering insights derived from state trial court records. It provides court data, practical judicial biographies, and actionable analytics related to individual judges, making it a valuable resource for litigators. Trellis Research also maintains a searchable database focused on California Superior Court records and judicial analytics, enhancing the ability of legal practitioners to navigate the judicial landscape effectively.
UserGems is an AI-powered prospecting solution for revenue teams. By delivering prospects that are most likely to convert, UserGems helps companies drive bigger pipeline, faster sales cycle, and larger deals. Whenever your customers change their jobs, UserGems automatically surfaces them as new prospects to your sales reps. This allows your reps to be in front of the right buyers at the right time, and before the competition is. Leveraging machine learning, UserGems automatically identifies other prospects that look exactly like your best customers. That means you get a complete, up-to-date list of leads that match your ideal customer profile, persona and other key criteria without requiring reps to spends hours on researching.
Viable Fit develops a structured user platform designed to use historical qualitative data to answer new questions instantly. Viable Fit offers a custom-branded survey, measures product/market fits, automatically segments customers into groups, and discovers user feedbacks based on keywords, thereby enabling businesses to get valuable suggestions from customers more accurately.
Woflow is a developer of a merchant data platform that specializes in transforming flat images into structured data with enhanced speed and accuracy. Utilizing a combination of pattern recognition AI and human augmentation, Woflow's technology significantly outpaces traditional manual transcription methods. The platform features a task automation system that efficiently divides large, complex projects into manageable, trainable tasks that can be executed asynchronously. This innovative approach allows clients to maintain and create structured data at scale, ultimately improving customer experience and supporting sustained business growth.
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.
UserGems is an AI-powered prospecting solution for revenue teams. By delivering prospects that are most likely to convert, UserGems helps companies drive bigger pipeline, faster sales cycle, and larger deals. Whenever your customers change their jobs, UserGems automatically surfaces them as new prospects to your sales reps. This allows your reps to be in front of the right buyers at the right time, and before the competition is. Leveraging machine learning, UserGems automatically identifies other prospects that look exactly like your best customers. That means you get a complete, up-to-date list of leads that match your ideal customer profile, persona and other key criteria without requiring reps to spends hours on researching.
Mozart Data, Inc. develops and operates an online platform that collects and organizes the data. The company’s platform helps to spin up and run a modern data stack, manage the data warehouse, and build and maintain extract, transform, load (ETL) pipelines. The company was incorporated in 2020 and is based in San Francisco, California.
Viable Fit develops a structured user platform designed to use historical qualitative data to answer new questions instantly. Viable Fit offers a custom-branded survey, measures product/market fits, automatically segments customers into groups, and discovers user feedbacks based on keywords, thereby enabling businesses to get valuable suggestions from customers more accurately.
Datasembly, Inc. is a data analytics company based in Washington, D.C., founded in 2014. It specializes in processing web data into structured formats, focusing on grocery and retail pricing information. By aggregating data from numerous grocery delivery and online shopping platforms, Datasembly collects detailed pricing records for products sold in stores on a daily basis. This information is crucial for consumer packaged goods (CPG) companies, retailers, and quick-service restaurants, allowing them to make informed and efficient business decisions. Utilizing advanced technologies, including natural language processing and machine learning, Datasembly transforms complex, volatile data into customized reports. This data services model supports various applications, including market research and economic indicators, ultimately empowering organizations to navigate the retail landscape effectively.
Trellis Research, Inc. is a provider of legal data and analytics specifically designed for law firms. Founded in 2017 and based in Los Angeles, California, the company specializes in offering insights derived from state trial court records. It provides court data, practical judicial biographies, and actionable analytics related to individual judges, making it a valuable resource for litigators. Trellis Research also maintains a searchable database focused on California Superior Court records and judicial analytics, enhancing the ability of legal practitioners to navigate the judicial landscape effectively.
Trellis Research, Inc. is a provider of legal data and analytics specifically designed for law firms. Founded in 2017 and based in Los Angeles, California, the company specializes in offering insights derived from state trial court records. It provides court data, practical judicial biographies, and actionable analytics related to individual judges, making it a valuable resource for litigators. Trellis Research also maintains a searchable database focused on California Superior Court records and judicial analytics, enhancing the ability of legal practitioners to navigate the judicial landscape effectively.
Viable Fit develops a structured user platform designed to use historical qualitative data to answer new questions instantly. Viable Fit offers a custom-branded survey, measures product/market fits, automatically segments customers into groups, and discovers user feedbacks based on keywords, thereby enabling businesses to get valuable suggestions from customers more accurately.
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