Streamlined Ventures

Precog is a data analysis platform designed to help companies productize their data assets by enabling them to store, integrate, and analyze substantial volumes of measured data. The platform features an implementation of Quirrel, a statistical language adept at handling big data, allowing businesses to create analytics and predictive models that can be incorporated into existing products or launched as new offerings. Precog empowers companies to enhance their applications with integrated analytics, transform existing data into resalable products, and develop advanced features such as recommendations and personalizations. Founded by John A. De Goes, Precog emerged from ReportGrid and aims to simplify data access for end users and business teams, addressing the complexities of modern data environments. The company utilizes a unique mathematical foundation known as Multi-dimensional Relational Algebra (MRA), which facilitates the transformation of complex data into usable analytic tables. Precog is backed by notable investors and emphasizes usability and performance in its technology solutions.

Data has become increasingly large and complex, end users have been cutoff, and the data engineer has become paramount. Precog is changing this and giving access and control back to the end users and business teams. Our solution is a huge leap forward in data transformation and preparation. It’s not just another variation of some open source project, It’s the biggest change in data thinking in 30 years. Our team of world class developers and mathematicians is building technology unlike anything else in the market today. Based on our unique and powerful mathematical foundation, MRA (Multi-dimensional Relational Algebra), our solutions are changing how users gain value from data. Funded by the best technology investors in the world, and supported by our customers and partners we will continue to push the boundaries of both ease of use and hyper performance for transforming massive complex data sets into ready to use analytic data tables for any application.

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

Data has become increasingly large and complex, end users have been cutoff, and the data engineer has become paramount. Precog is changing this and giving access and control back to the end users and business teams. Our solution is a huge leap forward in data transformation and preparation. It’s not just another variation of some open source project, It’s the biggest change in data thinking in 30 years. Our team of world class developers and mathematicians is building technology unlike anything else in the market today. Based on our unique and powerful mathematical foundation, MRA (Multi-dimensional Relational Algebra), our solutions are changing how users gain value from data. Funded by the best technology investors in the world, and supported by our customers and partners we will continue to push the boundaries of both ease of use and hyper performance for transforming massive complex data sets into ready to use analytic data tables for any application.

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

Akridata Inc., established in 2017 and headquartered in Los Altos, California, specializes in developing AI-driven data operations platforms. The company's core business is creating efficient data architecture solutions that manage high-volume data processing for AI applications in the cloud. Akridata's innovative platform enables businesses to automatically filter and prepare raw data from edge sensors, optimizing deep learning model training times and reducing storage costs. Furthermore, Akridata offers cutting-edge computer vision technology tailored for visual inspection in manufacturing sectors, enhancing quality control by detecting defects swiftly and accurately at scale. This allows clients to transition from manual review processes to intelligent automation, improving efficiency and minimizing errors.

Ocurate is a startup that leverages artificial intelligence to predict customer lifetime value for e-commerce businesses. The company develops software designed to help brands identify and focus on high-value customers by predicting their potential worth and affinity. Ocurate's technology builds models based on a database mapping the foundational personality traits of adults, integrating real-time predictions into existing workflows via API. This enables brands to acquire the right customers and achieve rapid growth.

Akridata Inc., established in 2017 and headquartered in Los Altos, California, specializes in developing AI-driven data operations platforms. The company's core business is creating efficient data architecture solutions that manage high-volume data processing for AI applications in the cloud. Akridata's innovative platform enables businesses to automatically filter and prepare raw data from edge sensors, optimizing deep learning model training times and reducing storage costs. Furthermore, Akridata offers cutting-edge computer vision technology tailored for visual inspection in manufacturing sectors, enhancing quality control by detecting defects swiftly and accurately at scale. This allows clients to transition from manual review processes to intelligent automation, improving efficiency and minimizing errors.

Rose AI is a data management platform that helps organizations find, clean, organize, and interact with large volumes of data to support data-driven decisions. It provides an integrated data workspace, analytics engine, and marketplace that transform, share, and monetize vetted, quality-controlled data in a single platform. The platform includes a data marketplace exposing datasets from reputable providers, with transparency into how datasets are constructed and the ability to pull underlying data into Excel or Jupyter Notebooks. By offering a common set of tools for manipulating and collaborating on data, Rose AI aims to streamline data preparation, cross-source integration, and insight generation for decision makers.

Data has become increasingly large and complex, end users have been cutoff, and the data engineer has become paramount. Precog is changing this and giving access and control back to the end users and business teams. Our solution is a huge leap forward in data transformation and preparation. It’s not just another variation of some open source project, It’s the biggest change in data thinking in 30 years. Our team of world class developers and mathematicians is building technology unlike anything else in the market today. Based on our unique and powerful mathematical foundation, MRA (Multi-dimensional Relational Algebra), our solutions are changing how users gain value from data. Funded by the best technology investors in the world, and supported by our customers and partners we will continue to push the boundaries of both ease of use and hyper performance for transforming massive complex data sets into ready to use analytic data tables for any application.

Chooch specializes in generative AI technology that integrates computer vision and language understanding to create intelligent camera systems. Their AI Vision platform analyzes video streams in real-time, detecting visuals and actions, comprehending their significance, and triggering pre-programmed responses swiftly. This technology is designed to process a wide range of visual data, from infrared radiation sensors and x-rays to various applications, tagging objects of interest. Chooch's solutions aim to enhance efficiencies and ensure quality results for clients across different industries.

Drivably, Inc. is a company that specializes in developing inventory management software tailored for the automotive retail industry. Founded in 2019 and headquartered in Chandler, Arizona, Drivably's platform facilitates the collection, processing, customization, and security of inventory data. It aggregates information from various sources, including auction sites, fleet providers, rental companies, and other dealerships, offering valuable data feeds to users. Additionally, Drivably provides a customizable trade-in tool that assists dealers in purchasing vehicles for customers, effectively connecting dealers with consumers to enable market-backed trade. This tool can be integrated directly into dealers' websites, allowing for seamless incorporation into their existing branding guidelines.

WealthEngine, Inc. is a provider of predictive marketing analytics and wealth intelligence services, primarily catering to fundraisers, marketers, and developers in sectors such as financial services, healthcare, higher education, nonprofit, retail, and travel. Founded in 1991 and based in Bethesda, Maryland, the company offers a platform known as WealthEngine 9, which assists clients in audience development and strategic prospecting. WealthEngine specializes in gathering and analyzing wealth indicators to help organizations identify potential prospects, thereby enhancing their fundraising and marketing efforts. In addition to its core platform, the company provides consulting, modeling, and training services. WealthEngine operates as a subsidiary of Euromoney Institutional Investor PLC and is recognized as a leading wealth research services firm in the United States and the United Kingdom.

Grandata, Inc. is a data monetization company based in San Francisco, California, established in 2012. The company specializes in integrating first-party data and telecommunications partner data to analyze market trends and predict customer behavior. By leveraging advanced research in human dynamics, Grandata offers insights into social relationships and consumer actions. Its primary product, Social Universe, analyzes various data sources, including telco, social media, and mobile data, to provide behavioral insights and facilitate targeted marketing efforts. Grandata serves leading firms in the telecommunications and financial services sectors by delivering consumer data that enhances business processes and marketing strategies. The company aims to create a trusted universal data platform that maximizes value for both individuals and organizations while emphasizing privacy preservation.

Pathmind develops a SaaS platform that leverages cloud computing and AI to optimize decisions in industrial operations and supply chains. It integrates with simulation software like AnyLogic, enabling users to discover better decision paths through complex scenarios.

Mattermark is a data platform that specializes in researching, prospecting, and tracking private companies globally. Founded in 2012 and based in San Francisco, it provides a suite of tools designed for deal professionals, including venture capitalists and private equity firms, to identify and evaluate potential investment opportunities. The platform allows users to search, filter, and sort data on private companies, conduct performance comparisons, and track investor portfolios through aggregate data visualization. Mattermark monitors various growth signals such as web traffic, mobile downloads, and social media engagement, thus offering valuable insights for lead generation and business development. It also facilitates access to information relevant to mergers and acquisitions for corporate development and investment banking professionals. Mattermark operates with various subscription plans tailored for entrepreneurs, professionals, and teams, and is a subsidiary of FullContact Inc. since early 2018.

Keen Labs, Inc. develops a customizable analytics platform that enables developers to efficiently collect, explore, and visualize data. The company's offerings include Keen Pro, which allows users to track, process, and store data from various sources such as applications, websites, IoT devices, and games, as well as to share insights with teams and clients. Additionally, Keen provides Native Analytics, a white-label solution for real-time analytics and advanced visualizations. The platform supports all aspects of event data management, facilitating the streaming, storage, querying, and presentation of data in one integrated system. Keen serves a diverse clientele across industries including media, advertising, gaming, SaaS, and hardware. Founded in 2011, Keen is headquartered in San Antonio, Texas.

WealthEngine, Inc. is a provider of predictive marketing analytics and wealth intelligence services, primarily catering to fundraisers, marketers, and developers in sectors such as financial services, healthcare, higher education, nonprofit, retail, and travel. Founded in 1991 and based in Bethesda, Maryland, the company offers a platform known as WealthEngine 9, which assists clients in audience development and strategic prospecting. WealthEngine specializes in gathering and analyzing wealth indicators to help organizations identify potential prospects, thereby enhancing their fundraising and marketing efforts. In addition to its core platform, the company provides consulting, modeling, and training services. WealthEngine operates as a subsidiary of Euromoney Institutional Investor PLC and is recognized as a leading wealth research services firm in the United States and the United Kingdom.

GraphDive is a provider of a data analytics and personalization platform that enables online businesses to gain actionable insights into their users. By integrating social data from various platforms, such as Facebook, GraphDive analyzes billions of data points to uncover users' top interests and key demographic information, including age, education, income, and relationship status. This comprehensive understanding of user behavior allows businesses to tailor their offerings and improve customer engagement effectively.

Amiato, Inc. is a software development company that specializes in real-time analytics solutions, facilitating comprehensive A/B test analysis and data integration for businesses. Established in 2011 in Saratoga, California, Amiato, originally known as Nou Data Corporation, focuses on helping companies unlock the value of unstructured data while bridging the gap to structured business intelligence tools. Utilizing its proprietary Schema-lift technology, the company enables seamless integration of various data endpoints, automatically transforming and continuously loading data from NoSQL databases into more accessible formats. This innovative approach allows organizations to conduct interactive analysis, generate reports, and efficiently manage disparate data silos with minimal manual intervention. As a subsidiary of Amazon Web Services, Amiato accelerates customer implementation and operational efficiency, helping businesses concentrate on growth rather than infrastructure challenges.

Bina Technologies specializes in developing high-performance data analysis solutions tailored for personalized healthcare. Their primary focus is on creating scalable genomic analytics platforms that streamline the management and processing of next-generation sequencing (NGS) data. This technology is designed to reduce the time, cost, and complexity involved in deriving insights from large datasets, thereby aiding researchers and clinicians in academic and translational research markets.

Amiato, Inc. is a software development company that specializes in real-time analytics solutions, facilitating comprehensive A/B test analysis and data integration for businesses. Established in 2011 in Saratoga, California, Amiato, originally known as Nou Data Corporation, focuses on helping companies unlock the value of unstructured data while bridging the gap to structured business intelligence tools. Utilizing its proprietary Schema-lift technology, the company enables seamless integration of various data endpoints, automatically transforming and continuously loading data from NoSQL databases into more accessible formats. This innovative approach allows organizations to conduct interactive analysis, generate reports, and efficiently manage disparate data silos with minimal manual intervention. As a subsidiary of Amazon Web Services, Amiato accelerates customer implementation and operational efficiency, helping businesses concentrate on growth rather than infrastructure challenges.

Bina Technologies specializes in developing high-performance data analysis solutions tailored for personalized healthcare. Their primary focus is on creating scalable genomic analytics platforms that streamline the management and processing of next-generation sequencing (NGS) data. This technology is designed to reduce the time, cost, and complexity involved in deriving insights from large datasets, thereby aiding researchers and clinicians in academic and translational research markets.

GraphDive is a provider of a data analytics and personalization platform that enables online businesses to gain actionable insights into their users. By integrating social data from various platforms, such as Facebook, GraphDive analyzes billions of data points to uncover users' top interests and key demographic information, including age, education, income, and relationship status. This comprehensive understanding of user behavior allows businesses to tailor their offerings and improve customer engagement effectively.