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.

KYC Hospitality is a technology company that specializes in providing software solutions for the hospitality industry. It has developed a global ecosystem that leverages big data and artificial intelligence to enhance operational efficiency within hotels. The company's focus is on improving the know-your-client processes, enabling hospitality businesses to better assist and manage their guests. By integrating advanced technology into its services, KYC Hospitality aims to streamline operations and enhance the overall guest experience in the hotel sector.

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.

ReAlpha is a company that specializes in the real estate sector, focusing on enhancing investment decisions in the single-family residential market. Utilizing machine learning and a comprehensive array of real estate and ancillary data, ReAlpha's platform aims to provide insights that support informed investment strategies. By leveraging advanced technology and data analytics, the company seeks to streamline the investment process, making it easier for individuals to navigate the complexities of real estate investments. Through its innovative approach, ReAlpha is positioned to influence the way investors engage with the real estate market.

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 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.

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., 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.

ReAlpha is a company that specializes in the real estate sector, focusing on enhancing investment decisions in the single-family residential market. Utilizing machine learning and a comprehensive array of real estate and ancillary data, ReAlpha's platform aims to provide insights that support informed investment strategies. By leveraging advanced technology and data analytics, the company seeks to streamline the investment process, making it easier for individuals to navigate the complexities of real estate investments. Through its innovative approach, ReAlpha is positioned to influence the way investors engage with the real estate market.

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 enables users to efficiently find, organize, and interact with diverse datasets. Recognizing the challenges posed by outdated databases and error-prone spreadsheets, Rose provides a centralized workspace that integrates data, analytics, and a marketplace for quality-controlled information. This platform allows users to transform, share, and monetize data seamlessly, facilitating data-driven decision-making. By offering access to a wide array of robust datasets from reputable providers, Rose empowers organizations to navigate the complexities of information management effectively. The platform simplifies the processes of data discovery, cleaning, and integration, equipping users with the tools necessary to derive valuable insights from raw information.

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 technology company that specializes in artificial intelligence-based solutions for predictive personalization of consumer behavior. Established in 2015 and headquartered in Cupertino, California, Breinify offers a platform designed to enable consumer brands and enterprises to accurately predict individual interests and preferences. By utilizing a combination of traditional machine learning and complex temporal algorithms, the platform provides real-time personalization capabilities without the need for an in-house data science team. This technology allows businesses in various sectors, including retail, travel, and financial services, to enhance customer engagement and drive revenue growth. Breinify's clients include notable brands such as BevMo! and Hidden Valley Ranch, which have reported significant improvements in customer interactions and revenue generation. The company's mission is to democratize data science, making advanced personalization accessible to a broader range of businesses.

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.

Breinify Inc. is a technology company that specializes in artificial intelligence-based solutions for predictive personalization of consumer behavior. Established in 2015 and headquartered in Cupertino, California, Breinify offers a platform designed to enable consumer brands and enterprises to accurately predict individual interests and preferences. By utilizing a combination of traditional machine learning and complex temporal algorithms, the platform provides real-time personalization capabilities without the need for an in-house data science team. This technology allows businesses in various sectors, including retail, travel, and financial services, to enhance customer engagement and drive revenue growth. Breinify's clients include notable brands such as BevMo! and Hidden Valley Ranch, which have reported significant improvements in customer interactions and revenue generation. The company's mission is to democratize data science, making advanced personalization accessible to a broader range of businesses.

Breinify Inc. is a technology company that specializes in artificial intelligence-based solutions for predictive personalization of consumer behavior. Established in 2015 and headquartered in Cupertino, California, Breinify offers a platform designed to enable consumer brands and enterprises to accurately predict individual interests and preferences. By utilizing a combination of traditional machine learning and complex temporal algorithms, the platform provides real-time personalization capabilities without the need for an in-house data science team. This technology allows businesses in various sectors, including retail, travel, and financial services, to enhance customer engagement and drive revenue growth. Breinify's clients include notable brands such as BevMo! and Hidden Valley Ranch, which have reported significant improvements in customer interactions and revenue generation. The company's mission is to democratize data science, making advanced personalization accessible to a broader range of businesses.

Breinify Inc. is a technology company that specializes in artificial intelligence-based solutions for predictive personalization of consumer behavior. Established in 2015 and headquartered in Cupertino, California, Breinify offers a platform designed to enable consumer brands and enterprises to accurately predict individual interests and preferences. By utilizing a combination of traditional machine learning and complex temporal algorithms, the platform provides real-time personalization capabilities without the need for an in-house data science team. This technology allows businesses in various sectors, including retail, travel, and financial services, to enhance customer engagement and drive revenue growth. Breinify's clients include notable brands such as BevMo! and Hidden Valley Ranch, which have reported significant improvements in customer interactions and revenue generation. The company's mission is to democratize data science, making advanced personalization accessible to a broader range of businesses.

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.

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 cloud-based data management solutions. The company provides a platform for crowdsource data collection and organization, allowing organizations to manage code, share insights, and conduct analytics in a collaborative environment. By enabling all team members—not just data scientists—to engage with data efficiently and reliably, Quilt fosters informed decision-making and accelerates organizational success. Its services include personalized training and custom information development, specifically tailored for teams in fields such as machine learning and computational biology. This approach helps reduce errors, streamline processes, and enhance the deployment of intelligent models, ultimately giving organizations a competitive edge in a data-driven landscape.

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.

OneFold is a Menlo Park-based startup founded by seasoned Silicon Valley engineers with over two decades of experience in software development. They specialize in creating data visualization and behavior discovery platforms tailored for the post-PC era. Their primary offering is a data analytics platform designed to extract actionable insights from big data, empowering product managers and marketers to optimize mobile application engagement and revenues through flexible, ad-hoc analytics. The company benefits from backing by industry veterans such as Peter Relan and Jerry Held, and is part of the YouWeb and 9plus accelerator programs.

OneFold is a Menlo Park-based startup founded by seasoned Silicon Valley engineers with over two decades of experience in software development. They specialize in creating data visualization and behavior discovery platforms tailored for the post-PC era. Their primary offering is a data analytics platform designed to extract actionable insights from big data, empowering product managers and marketers to optimize mobile application engagement and revenues through flexible, ad-hoc analytics. The company benefits from backing by industry veterans such as Peter Relan and Jerry Held, and is part of the YouWeb and 9plus accelerator programs.

Baarzo is a video indexing platform that has developed an innovative search engine capable of analyzing video content to locate specific events. Unlike traditional search engines that rely on textual metadata, Baarzo's technology scans video footage to recognize hundreds of thousands of objects and millions of faces, enabling users to pinpoint precise moments in videos based on their search criteria. For instance, users can search through vast archives, such as sports or personal videos, to find specific clips, like every dunk made by a particular player in a game. The company is backed by a team of domain experts from prestigious institutions and is well-funded by prominent investors, positioning it for potential growth and expansion. Baarzo aims to enhance the way individuals find and share video moments.

Citus Data, Inc. is a database technology company specializing in scaling PostgreSQL to enhance real-time applications. Founded in 2010 and headquartered in San Francisco, California, with an additional office in Istanbul, Turkey, Citus Data provides a distributed database platform that efficiently handles massive parallelism and supports complex queries. Its flagship product, CitusDB, integrates the capabilities of PostgreSQL with features like native JSON support, enabling businesses to manage and analyze large volumes of data effectively. The platform simplifies database sharding, allowing organizations to partition large datasets for improved performance and manageability. Citus Data serves a diverse range of industries, including e-commerce, retail, security, and advertising, facilitating interactive analytics and operational workloads. In 2019, Citus Data became a subsidiary of Microsoft Corporation.

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.

Signifyd, Inc. is a technology company that specializes in fraud prevention for e-commerce businesses. Founded in 2011 and headquartered in San Jose, California, with an additional office in London, the company offers a software-as-a-service solution that simplifies fraud detection through a financial guarantee. Its platform, which utilizes big data, machine learning, and expert manual reviews, allows online retailers to mitigate risks associated with chargebacks and automate fraud prevention processes. Signifyd's services enable retailers to enhance customer experiences, increase sales, and expand into new markets while minimizing losses from fraudulent transactions. The company caters to a range of clients, including Fortune 1000 companies and top internet retailers, addressing critical challenges in the e-commerce landscape.

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.

Citus Data, Inc. is a database technology company specializing in scaling PostgreSQL to enhance real-time applications. Founded in 2010 and headquartered in San Francisco, California, with an additional office in Istanbul, Turkey, Citus Data provides a distributed database platform that efficiently handles massive parallelism and supports complex queries. Its flagship product, CitusDB, integrates the capabilities of PostgreSQL with features like native JSON support, enabling businesses to manage and analyze large volumes of data effectively. The platform simplifies database sharding, allowing organizations to partition large datasets for improved performance and manageability. Citus Data serves a diverse range of industries, including e-commerce, retail, security, and advertising, facilitating interactive analytics and operational workloads. In 2019, Citus Data became a subsidiary of Microsoft Corporation.