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 offers a cloud-based platform designed to facilitate the management and scaling of data pipelines for machine learning applications. Their flagship product, Deep Lake, serves as a specialized database for artificial intelligence, optimized for deep learning and large language model applications. It allows users to store a variety of data types, including text, images, audio, and videos, in a single location, while providing capabilities such as data streaming, version control, and vector search. Deep Lake simplifies the deployment of enterprise-grade LLM-based products and integrates seamlessly with popular tools like LangChain and Weights & Biases. The platform is serverless and capable of handling datasets of any size, making it suitable for organizations working on complex machine learning projects. Activeloop counts notable companies such as Bayer Radiology and Matterport among its users. The founding team comprises individuals with backgrounds from prestigious institutions like Princeton and Stanford, along with experience from industry leaders like Google and Tesla.

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.

ReAlpha is a real estate platform that leverages machine learning and various data sources to enhance investment decisions in the single-family real estate market. By integrating real estate data with ancillary information, ReAlpha aims to provide investors with valuable insights that improve their investment strategies and outcomes. The platform focuses on optimizing the decision-making process in real estate, helping users navigate the complexities of property investments effectively.

AnthologyAI is the breakthrough Artificial Intelligence Consumer Insights & Predictions Platform with billions of real-time data sourced directly and ethically from consumers. Access previously unavailable levels of intelligence about retail spending, geolocation, media consumption, travel, ride sharing and more — in realtime, at scale.

Activeloop offers a cloud-based platform designed to facilitate the management and scaling of data pipelines for machine learning applications. Their flagship product, Deep Lake, serves as a specialized database for artificial intelligence, optimized for deep learning and large language model applications. It allows users to store a variety of data types, including text, images, audio, and videos, in a single location, while providing capabilities such as data streaming, version control, and vector search. Deep Lake simplifies the deployment of enterprise-grade LLM-based products and integrates seamlessly with popular tools like LangChain and Weights & Biases. The platform is serverless and capable of handling datasets of any size, making it suitable for organizations working on complex machine learning projects. Activeloop counts notable companies such as Bayer Radiology and Matterport among its users. The founding team comprises individuals with backgrounds from prestigious institutions like Princeton and Stanford, along with experience from industry leaders like Google and Tesla.

AnthologyAI is the breakthrough Artificial Intelligence Consumer Insights & Predictions Platform with billions of real-time data sourced directly and ethically from consumers. Access previously unavailable levels of intelligence about retail spending, geolocation, media consumption, travel, ride sharing and more — in realtime, at scale.

Akridata Inc., founded in 2017 and based in Los Altos, California, specializes in developing artificial intelligence-driven data architecture and operations platforms. The company's technology focuses on streamlining the transport and storage of raw AI data, addressing the challenges associated with high volumes of data generated during AI processing in the cloud. Akridata's innovative solutions enhance visual inspection processes for manufacturers, facilitating automation and improving quality control in industrial and medical device manufacturing. By employing advanced computer vision technology, Akridata enables faster and more accurate defect detection, helping businesses transition from manual inspections to intelligent automation. This not only increases efficiency but also reduces errors and overall storage costs, ultimately optimizing the training of deep learning models for a variety of applications.

ReAlpha is a real estate platform that leverages machine learning and various data sources to enhance investment decisions in the single-family real estate market. By integrating real estate data with ancillary information, ReAlpha aims to provide investors with valuable insights that improve their investment strategies and outcomes. The platform focuses on optimizing the decision-making process in real estate, helping users navigate the complexities of property investments effectively.

Akridata Inc., founded in 2017 and based in Los Altos, California, specializes in developing artificial intelligence-driven data architecture and operations platforms. The company's technology focuses on streamlining the transport and storage of raw AI data, addressing the challenges associated with high volumes of data generated during AI processing in the cloud. Akridata's innovative solutions enhance visual inspection processes for manufacturers, facilitating automation and improving quality control in industrial and medical device manufacturing. By employing advanced computer vision technology, Akridata enables faster and more accurate defect detection, helping businesses transition from manual inspections to intelligent automation. This not only increases efficiency but also reduces errors and overall storage costs, ultimately optimizing the training of deep learning models for a variety of applications.

Rose AI is a data management platform designed to help users efficiently find, organize, and interact with vast amounts of disparate data. As organizations struggle with outdated databases and error-prone spreadsheets, Rose provides a centralized solution that integrates a workspace, analytics engine, and data marketplace. This platform enables users to clean, transform, and share vetted and quality-controlled data seamlessly. Users can explore a variety of robust datasets from reputable providers, view dataset constructions, and easily extract data into tools like Excel or Jupyter Notebook. By streamlining the process of data manipulation and sharing, Rose AI empowers organizations to turn raw information into actionable insights, facilitating data-driven decision-making.

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.

Breinify Inc. is a company that provides an artificial intelligence as-a-service platform focused on predictive personalization of customer behavior. Founded in 2015 and based in Cupertino, California, Breinify's platform enables users to anticipate consumer interests and preferences by analyzing various data signals to generate accurate predictions. It serves multiple industries, including retail, consumer goods, travel, financial services, and banking. Breinify’s technology integrates traditional machine learning with advanced temporal algorithms, allowing it to make highly granular and individualized decisions in real-time. This powerful platform helps consumer brand marketers implement effective personalization strategies without the need for an in-house data science team. Breinify has successfully driven substantial revenue growth for clients, with notable customers including BevMo! and Hidden Valley Ranch. The company has also experienced significant upselling success, with over 80% of existing customers expanding their use of the platform.

Drivably, Inc. is a company that specializes in developing inventory management software tailored for the automotive retail industry. Founded in 2019 and based in Chandler, Arizona, Drivably's platform collects, processes, and secures inventory data from various sources, including auction sites, fleet providers, rental companies, and other dealers. The software also functions as a trade-in tool, facilitating connections between dealers and consumers to enable market-backed trade-in offers. Additionally, this customizable tool can be integrated directly into dealers' websites, allowing for seamless alignment with their existing branding guidelines.

Breinify Inc. is a company that provides an artificial intelligence as-a-service platform focused on predictive personalization of customer behavior. Founded in 2015 and based in Cupertino, California, Breinify's platform enables users to anticipate consumer interests and preferences by analyzing various data signals to generate accurate predictions. It serves multiple industries, including retail, consumer goods, travel, financial services, and banking. Breinify’s technology integrates traditional machine learning with advanced temporal algorithms, allowing it to make highly granular and individualized decisions in real-time. This powerful platform helps consumer brand marketers implement effective personalization strategies without the need for an in-house data science team. Breinify has successfully driven substantial revenue growth for clients, with notable customers including BevMo! and Hidden Valley Ranch. The company has also experienced significant upselling success, with over 80% of existing customers expanding their use of the platform.

Breinify Inc. is a company that provides an artificial intelligence as-a-service platform focused on predictive personalization of customer behavior. Founded in 2015 and based in Cupertino, California, Breinify's platform enables users to anticipate consumer interests and preferences by analyzing various data signals to generate accurate predictions. It serves multiple industries, including retail, consumer goods, travel, financial services, and banking. Breinify’s technology integrates traditional machine learning with advanced temporal algorithms, allowing it to make highly granular and individualized decisions in real-time. This powerful platform helps consumer brand marketers implement effective personalization strategies without the need for an in-house data science team. Breinify has successfully driven substantial revenue growth for clients, with notable customers including BevMo! and Hidden Valley Ranch. The company has also experienced significant upselling success, with over 80% of existing customers expanding their use of the platform.

GranData, Inc. is a data monetization company based in San Francisco that specializes in integrating first-party and telco partner data to uncover market trends and predict customer behavior. Founded in 2012, the company utilizes advanced research in human dynamics and big data to analyze social relationships and consumer actions. GranData's offerings include its flagship product, Social Universe, which combines telco, social media, and mobile data to generate behavioral insights and facilitate targeted mobile marketing. By providing valuable consumer data, GranData helps businesses in the telecommunications and financial services sectors optimize their marketing efforts and improve operational processes. The company's mission centers on creating a trusted universal data platform that maximizes value for both individuals and organizations while ensuring privacy.

Skymind Inc., established in 2014 and headquartered in San Francisco, specializes in enterprise software and business intelligence. The company develops solutions that employ machine learning techniques, such as text, image, and sound analysis, to identify and quantify patterns that can impact businesses. Skymind is renowned for creating Deeplearning4j, an open-source deep-learning framework for the Java Virtual Machine (JVM). Additionally, Skymind offers ND4J, a scientific computing library designed for production environments with fast routines and minimal RAM requirements.

Quilt Data, Inc. is a San Francisco-based company founded in 2015 that specializes in crowdsource data collection and organization services. The company operates a cloud-based platform designed to enhance data management for organizations, enabling faster, more collaborative, and trustworthy data interactions among all team members, not just data scientists. Quilt's platform facilitates the management of code, sharing, discovery, analytics, and insights, while also providing custom information development and personalized training. This approach allows organizations to make informed decisions more rapidly, improving their operational efficiency and competitive advantage in an increasingly data-driven environment.

OneFold is a data visualization and behavior discovery platform based in Menlo Park, California, designed for the post-PC era. Founded by experienced engineers with over 20 years of experience in software product development, the company leverages its expertise to offer a big data analytics solution. The platform enables product managers and marketers to gather actionable insights through flexible, ad hoc analytics, which helps optimize mobile application engagement and revenue. OneFold is part of the YouWeb and 9plus accelerator programs and is supported by notable investors, including Peter Relan and Jerry Held, who have significant experience in the technology sector.

OneFold is a data visualization and behavior discovery platform based in Menlo Park, California, designed for the post-PC era. Founded by experienced engineers with over 20 years of experience in software product development, the company leverages its expertise to offer a big data analytics solution. The platform enables product managers and marketers to gather actionable insights through flexible, ad hoc analytics, which helps optimize mobile application engagement and revenue. OneFold is part of the YouWeb and 9plus accelerator programs and is supported by notable investors, including Peter Relan and Jerry Held, who have significant experience in the technology sector.

Citus Data, Inc. specializes in developing and distributing database products that enhance PostgreSQL to support real-time applications. Founded in 2010 and headquartered in San Francisco, with an additional office in Istanbul, the company offers a platform that simplifies sharding, allowing businesses to efficiently manage large datasets by partitioning them for faster access and analysis. Its flagship product, CitusDB, combines powerful parallel processing capabilities with the expressiveness of PostgreSQL, including support for JSON data. This extensible distributed database serves various industries such as e-commerce, retail, security, advertising technology, and mobile analytics, enabling organizations to effectively handle and analyze billions of events in real-time. Citus Data operates as a subsidiary of Microsoft Corporation.

Amiato, Inc. is a software company based in Saratoga, California, that specializes in real-time analytics and A/B test analysis for businesses at a large scale. Established in 2011 and previously known as Nou Data Corporation, Amiato focuses on helping companies unlock the value of their unstructured data by bridging the gap between flexible databases and structured business intelligence tools. Its proprietary Schema-lift technology facilitates the automatic extraction, transformation, and continuous loading of data from NoSQL data stores into Amazon's Redshift database. This enables organizations to conduct interactive ad-hoc analysis and generate reports without manual intervention. By streamlining data integration, Amiato allows clients to become operational quickly, often within a day, thereby enabling them to concentrate on their core business activities rather than managing complex data infrastructures.

Signifyd, Inc. is a technology company based in San Jose, California, with an additional headquarters in London, United Kingdom. Established in 2011, it provides a software-as-a-service (SaaS) platform that helps e-commerce businesses mitigate fraud risk and manage chargebacks. Its key offerings include E-Commerce Assurance, which automates fraud prevention and protects online retailers from chargebacks, and Signifyd Chargeback Recovery, which assists merchants in handling various chargebacks. By leveraging big data, machine learning, and expert reviews, Signifyd offers a financial guarantee against fraud for approved orders, allowing retailers to enhance customer experiences, boost sales, and explore new market opportunities while minimizing operational costs associated with fraud detection. The company serves a range of clients, including those on the Fortune 1000 and Internet Retailer Top 500 lists, adhering to the belief that e-commerce businesses should thrive without the fear of fraud.

Bina Technologies focuses on advancing personalized, data-driven healthcare through its innovative platform designed for scalable genomic analytics. The company develops high-performance data analysis solutions that streamline the management and processing of next-generation sequencing (NGS) data. Targeting academic and translational research markets, Bina Technologies enables researchers and clinicians to efficiently extract insights from complex genomic datasets, effectively reducing the time, cost, and complexity associated with data analysis in the field of medicine.

Amiato, Inc. is a software company based in Saratoga, California, that specializes in real-time analytics and A/B test analysis for businesses at a large scale. Established in 2011 and previously known as Nou Data Corporation, Amiato focuses on helping companies unlock the value of their unstructured data by bridging the gap between flexible databases and structured business intelligence tools. Its proprietary Schema-lift technology facilitates the automatic extraction, transformation, and continuous loading of data from NoSQL data stores into Amazon's Redshift database. This enables organizations to conduct interactive ad-hoc analysis and generate reports without manual intervention. By streamlining data integration, Amiato allows clients to become operational quickly, often within a day, thereby enabling them to concentrate on their core business activities rather than managing complex data infrastructures.

Bina Technologies focuses on advancing personalized, data-driven healthcare through its innovative platform designed for scalable genomic analytics. The company develops high-performance data analysis solutions that streamline the management and processing of next-generation sequencing (NGS) data. Targeting academic and translational research markets, Bina Technologies enables researchers and clinicians to efficiently extract insights from complex genomic datasets, effectively reducing the time, cost, and complexity associated with data analysis in the field of medicine.

Citus Data, Inc. specializes in developing and distributing database products that enhance PostgreSQL to support real-time applications. Founded in 2010 and headquartered in San Francisco, with an additional office in Istanbul, the company offers a platform that simplifies sharding, allowing businesses to efficiently manage large datasets by partitioning them for faster access and analysis. Its flagship product, CitusDB, combines powerful parallel processing capabilities with the expressiveness of PostgreSQL, including support for JSON data. This extensible distributed database serves various industries such as e-commerce, retail, security, advertising technology, and mobile analytics, enabling organizations to effectively handle and analyze billions of events in real-time. Citus Data operates as a subsidiary of Microsoft Corporation.