Andreessen Horowitz

Distributional is a developer of an AI testing and evaluation platform focused on ensuring that artificial intelligence systems are safe, reliable, and secure. The company offers tools for continuous monitoring, which include generating test cases and analyzing results. These tools help organizations ensure that their AI systems perform as expected, thereby fostering trust in AI technologies. By providing these capabilities, Distributional enables customers to deploy AI products more frequently and effectively, allowing them to fully leverage the potential benefits of AI within their operations.

Inductive Bio specializes in providing a machine learning platform that enhances the compound optimization process for drug development. The company focuses on addressing ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) challenges by building comprehensive datasets and machine learning models. This enables scientists to efficiently identify and refine small molecule compounds, transforming initial candidates into viable leads more rapidly and with improved properties. By streamlining the optimization process, Inductive Bio supports the development of new therapeutics, ultimately contributing to advancements in the pharmaceutical industry.

Spade specializes in transaction data enrichment by offering a unique solution that utilizes a comprehensive first-party data network. This infrastructure provides real-time access to detailed information about card transactions, including merchant identities, categories, and geolocation. By linking each transaction to accurate merchant data, Spade enables card issuers, anti-fraud providers, and fintech companies to enhance their applications and systems without the need for extensive data cleaning. The insights derived from Spade's services help clients prevent fraud, improve authorization rates, and develop innovative financial technology features, ultimately delivering greater clarity and context to each transaction.

Klu.ai is a generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. The company integrates major large language models (LLMs) such as Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, enabling rapid prompt/model experimentation, data gathering, and user feedback. The platform offers features like Klu Actions for content generation, business operations workflows, content analysis, and summarization, as well as optimization techniques for A/B testing and fine-tuning support for models like OpenAI's GPT-3.5 Turbo and GPT-4. Klu.ai is committed to data privacy and security, providing data obfuscation and redaction features to protect sensitive information. Klu.ai is founded by Stephen M. Walker II in 2022 and is located in San Francisco, California.

Tabular Technologies is focused on creating an independent data automation platform that leverages the open-source standard for large analytic datasets, specifically Apache Iceberg. The platform is designed to simplify the management of complex data structures, allowing users to harness the capabilities of open-source table formats without the associated technical challenges. By integrating cloud object storage and supporting multiple-computer frameworks, Tabular's solution enables data scientists to achieve consistency and interoperability in their data processes.

Metaphor is a search and discovery platform tailored for data scientists, data engineers, and AI practitioners. It facilitates better understanding and management of data through a comprehensive metadata knowledge graph. The platform integrates technical metadata with behavioral and social metadata, enabling users to easily access and leverage open-source projects. By streamlining the data discovery process, Metaphor aims to enhance the efficiency and effectiveness of its users in navigating complex data landscapes.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Spade specializes in transaction data enrichment by offering a unique solution that utilizes a comprehensive first-party data network. This infrastructure provides real-time access to detailed information about card transactions, including merchant identities, categories, and geolocation. By linking each transaction to accurate merchant data, Spade enables card issuers, anti-fraud providers, and fintech companies to enhance their applications and systems without the need for extensive data cleaning. The insights derived from Spade's services help clients prevent fraud, improve authorization rates, and develop innovative financial technology features, ultimately delivering greater clarity and context to each transaction.

Material Security is an email security company that specializes in developing data-driven software to safeguard organizations' users and sensitive information. Established in response to significant data breaches, the company emphasizes the importance of creativity in both technological innovation and protection. Its software utilizes common tools in innovative ways to assess and mitigate risks within cloud office applications. By seamlessly integrating with identity providers, the platform enables organizations to analyze risks, detect threats, and manage incidents effectively. Material Security collaborates with a diverse range of clients, including major corporations in media, finance, technology, and public sector entities, to enhance the security and confidentiality of their operations while fostering safe collaboration among users.

Starburst is an analytics platform that enables organizations to efficiently query and access data across various databases. By providing a unified solution, it simplifies the complexities associated with data movement and duplication, allowing businesses to derive actionable insights quickly. The platform is designed to be cost-effective, helping clients reduce their total expenses related to infrastructure and analytics. Additionally, Starburst mitigates the risk of vendor lock-in, giving organizations the flexibility to manage their data without being tied to a specific provider. This approach positions Starburst as a valuable tool for data-driven companies seeking to harness the full potential of their data assets.

Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.

Tabular Technologies is focused on creating an independent data automation platform that leverages the open-source standard for large analytic datasets, specifically Apache Iceberg. The platform is designed to simplify the management of complex data structures, allowing users to harness the capabilities of open-source table formats without the associated technical challenges. By integrating cloud object storage and supporting multiple-computer frameworks, Tabular's solution enables data scientists to achieve consistency and interoperability in their data processes.

Bayesian Health Inc. is a digital health company based in New York, established in 2016. It specializes in an AI-driven platform that enhances patient monitoring by assessing illness severity and detecting changes in acuity. This technology integrates with hospital electronic medical records (EMR), allowing clinical staff and hospital leadership to access real-time data and insights. The platform provides actionable early detection alerts and supports decision-making in complex clinical environments, ultimately optimizing patient care throughout their hospital stay. By leveraging existing investments in EMR systems, Bayesian Health enables healthcare providers to make informed, data-driven decisions that improve safety and efficiency in patient management.

Material Security is an email security company that specializes in developing data-driven software to safeguard organizations' users and sensitive information. Established in response to significant data breaches, the company emphasizes the importance of creativity in both technological innovation and protection. Its software utilizes common tools in innovative ways to assess and mitigate risks within cloud office applications. By seamlessly integrating with identity providers, the platform enables organizations to analyze risks, detect threats, and manage incidents effectively. Material Security collaborates with a diverse range of clients, including major corporations in media, finance, technology, and public sector entities, to enhance the security and confidentiality of their operations while fostering safe collaboration among users.

Komodo Health Inc. is a healthcare technology company that specializes in providing real-time healthcare intelligence and transparency through its innovative platform. Founded in 2014 and based in New York, with an additional office in San Francisco, the company offers a suite of software solutions, including its Healthcare Map, which tracks patient outcomes across the healthcare system. The platform utilizes advanced data science techniques and artificial intelligence to deliver insights that empower various stakeholders in the healthcare sector, including life science companies, payers, and providers. Key products such as Aperture, Pulse, and Serenity facilitate the analysis of complex healthcare connections, alert users to influence disease burden positively, and explore patient cohorts for deeper insights. By enabling a more cost-effective and value-driven healthcare system, Komodo Health aims to set a new standard for real-world data and analytics in the industry.

Starburst is an analytics platform that enables organizations to efficiently query and access data across various databases. By providing a unified solution, it simplifies the complexities associated with data movement and duplication, allowing businesses to derive actionable insights quickly. The platform is designed to be cost-effective, helping clients reduce their total expenses related to infrastructure and analytics. Additionally, Starburst mitigates the risk of vendor lock-in, giving organizations the flexibility to manage their data without being tied to a specific provider. This approach positions Starburst as a valuable tool for data-driven companies seeking to harness the full potential of their data assets.

Metaphor is a search and discovery platform tailored for data scientists, data engineers, and AI practitioners. It facilitates better understanding and management of data through a comprehensive metadata knowledge graph. The platform integrates technical metadata with behavioral and social metadata, enabling users to easily access and leverage open-source projects. By streamlining the data discovery process, Metaphor aims to enhance the efficiency and effectiveness of its users in navigating complex data landscapes.

Usermind, Inc. is a technology company that offers a unified orchestration platform aimed at enhancing business operations and customer journeys. Established in 2013 and headquartered in Seattle, Washington, Usermind addresses issues associated with siloed enterprise systems and fragmented customer data. Its platform integrates various SaaS applications and on-premise systems, facilitating entity mapping and automating complex customer interactions. Additionally, it provides comprehensive analytics on business processes, which empowers companies to deliver data-driven, omnichannel customer engagement throughout the entire customer lifecycle. Usermind's solutions enable businesses to optimize personalized interactions, enhance customer experiences, and ultimately drive revenue growth while reducing costs. The company was founded by technology veterans Michel Feaster and Przemek Pardyak and is supported by prominent venture capital firms.

Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Komodo Health Inc. is a healthcare technology company that specializes in providing real-time healthcare intelligence and transparency through its innovative platform. Founded in 2014 and based in New York, with an additional office in San Francisco, the company offers a suite of software solutions, including its Healthcare Map, which tracks patient outcomes across the healthcare system. The platform utilizes advanced data science techniques and artificial intelligence to deliver insights that empower various stakeholders in the healthcare sector, including life science companies, payers, and providers. Key products such as Aperture, Pulse, and Serenity facilitate the analysis of complex healthcare connections, alert users to influence disease burden positively, and explore patient cohorts for deeper insights. By enabling a more cost-effective and value-driven healthcare system, Komodo Health aims to set a new standard for real-world data and analytics in the industry.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

All Day Kitchens develops delivery-optimized kitchens that support restaurants in adapting to the digital, delivery, and pick-up landscape. By leveraging data, the company identifies and secures prime locations for cloud kitchens, allowing restaurants to expand their reach without significant upfront costs. Their platform facilitates the establishment of technical networks that enhance food delivery operations, enabling restaurants to thrive in a competitive market.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

DeepMap, Inc. is a technology company that specializes in high-definition (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Usermind, Inc. is a technology company that offers a unified orchestration platform aimed at enhancing business operations and customer journeys. Established in 2013 and headquartered in Seattle, Washington, Usermind addresses issues associated with siloed enterprise systems and fragmented customer data. Its platform integrates various SaaS applications and on-premise systems, facilitating entity mapping and automating complex customer interactions. Additionally, it provides comprehensive analytics on business processes, which empowers companies to deliver data-driven, omnichannel customer engagement throughout the entire customer lifecycle. Usermind's solutions enable businesses to optimize personalized interactions, enhance customer experiences, and ultimately drive revenue growth while reducing costs. The company was founded by technology veterans Michel Feaster and Przemek Pardyak and is supported by prominent venture capital firms.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

DeepMap, Inc. is a technology company that specializes in high-definition (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Quantopian, Inc. operates an online platform designed for the development and testing of quantitative trading algorithms. Founded in 2011 and based in Boston, Massachusetts, the platform offers tools and infrastructure that allow users to learn about quantitative finance, engage in community discussions, and explore algorithms shared by other members. Users can create and backtest their algorithms, review performance results and risk metrics, and trade their strategies. The company boasts a community of approximately 195,000 quants who collaborate and share insights. Additionally, select algorithm authors can license their algorithms to Quantopian, earning compensation based on performance. The firm provides capital, data, and resources to support its community in researching, coding, and executing algorithmic investing strategies.

DeepMap, Inc. is a technology company that specializes in high-definition (HD) mapping and localization solutions aimed at enhancing the safety of autonomous vehicles. Founded in 2016 and headquartered in Palo Alto, California, with additional offices in Beijing and Guangzhou, the company provides essential technology for self-driving cars to navigate complex environments. DeepMap focuses on three core areas: creating precise HD maps, offering ultra-accurate real-time localization across various road types and driving conditions, and developing the supporting infrastructure for global scalability. By addressing these elements, DeepMap aims to improve the safety and efficiency of autonomous driving, making it a key player in the advancement of self-driving technology.

Usermind, Inc. is a technology company that offers a unified orchestration platform aimed at enhancing business operations and customer journeys. Established in 2013 and headquartered in Seattle, Washington, Usermind addresses issues associated with siloed enterprise systems and fragmented customer data. Its platform integrates various SaaS applications and on-premise systems, facilitating entity mapping and automating complex customer interactions. Additionally, it provides comprehensive analytics on business processes, which empowers companies to deliver data-driven, omnichannel customer engagement throughout the entire customer lifecycle. Usermind's solutions enable businesses to optimize personalized interactions, enhance customer experiences, and ultimately drive revenue growth while reducing costs. The company was founded by technology veterans Michel Feaster and Przemek Pardyak and is supported by prominent venture capital firms.

Factual is the location data company the world’s most valuable brands and tech companies trust to understand and intelligently grow their businesses. Factual provides product and engineering teams, marketers and data analysts access to the world’s most trusted, accurate and comprehensive data on places and people worldwide, transforming products, advertising and businesses with data that puts everything in context.

Udacity is an online learning platform founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, headquartered in Mountain View, California. Originating from free computer science courses at Stanford University, Udacity focuses on providing vocational training in high-demand fields such as artificial intelligence, machine learning, data science, and cloud computing. The platform offers various nanodegree programs, including web development, data analysis, and mobile app development, designed to equip learners with skills sought by employers. Udacity's mission is to democratize education, making it accessible and affordable for individuals aiming to enhance their career prospects. The company collaborates with technology firms to ensure its curriculum aligns with industry needs, thereby preparing learners for the evolving job market. Despite facing challenges in its early years, Udacity has grown significantly, boasting millions of users and a valuation exceeding $1 billion, supported by investments from prominent venture capital firms.

Sensai is a content analytics platform designed to assist Sales, Operations, and Finance teams in large organizations. It enables analysts to identify and track emerging concepts within enterprise repositories as well as from public and private data sources. The platform employs innovative methods for clustering and refining results, allowing users to quickly test hypotheses and analyze patterns within the data. Additionally, Sensai offers a content-discovery language that empowers business analysts to query any dataset and obtain insights independently, without requiring assistance from data science or programming teams. This technology supports various applications, including research, governance, and anti-fraud initiatives.

Alation, Inc. is a provider of data intelligence solutions based in Redwood City, California, founded in 2012. The company specializes in an AI-driven platform that encompasses data search and discovery, data governance, data stewardship, analytics, and digital transformation. Alation's platform is recognized for its capabilities in the data catalog market, leveraging a Behavioral Analysis Engine and collaboration features to blend machine learning with human insight. This approach allows organizations to efficiently manage their data and metadata, facilitating self-service analytics and improving decision-making processes. By automating the capture of critical information regarding data usage and provenance, Alation supports businesses in navigating the complexities of data management and governance.

Human API is a digital health data network that allows consumers to easily access and share their health information from various sources, including hospitals, electronic medical records, pharmacies, labs, and wearable devices. Founded in 2013 and based in San Mateo, California, the company connects to data from 90% of US hospitals and over 300 wellness applications. The platform employs a machine learning-powered data pipeline to standardize health data, making it more accessible and actionable for medical researchers and scientists. Importantly, it empowers consumers to maintain control over their personal health data, determining which companies can access their information. This streamlined approach addresses the challenges of fragmented health data sources, facilitating efficient data sharing and utilization in the healthcare ecosystem.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

ClearStory Data Inc. is a provider of data analytics solutions aimed at enhancing business intelligence across various industries, including consumer packaged goods, healthcare, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in enabling users to easily discover and analyze data from diverse sources, such as relational databases, Hadoop, and third-party data providers. Its platform modernizes data analysis by automating complex tasks like data harmonization and facilitating interactive analysis, allowing organizations to combine corporate and external data for timely insights. This capability empowers business users to make informed decisions quickly, fostering collaboration among distributed teams. ClearStory Data operates as a subsidiary of Alteryx, Inc. as of April 2019.

Data Elite is an accelerator and incubator that does seed investments by providing early stage funding and counseling for Big Data startups. Data Elite was founded by Stamos Venios and Tasso Argyros in 2013 and is based in California, United States.

Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.

Usermind, Inc. is a technology company that offers a unified orchestration platform aimed at enhancing business operations and customer journeys. Established in 2013 and headquartered in Seattle, Washington, Usermind addresses issues associated with siloed enterprise systems and fragmented customer data. Its platform integrates various SaaS applications and on-premise systems, facilitating entity mapping and automating complex customer interactions. Additionally, it provides comprehensive analytics on business processes, which empowers companies to deliver data-driven, omnichannel customer engagement throughout the entire customer lifecycle. Usermind's solutions enable businesses to optimize personalized interactions, enhance customer experiences, and ultimately drive revenue growth while reducing costs. The company was founded by technology veterans Michel Feaster and Przemek Pardyak and is supported by prominent venture capital firms.

Human API is a digital health data network that allows consumers to easily access and share their health information from various sources, including hospitals, electronic medical records, pharmacies, labs, and wearable devices. Founded in 2013 and based in San Mateo, California, the company connects to data from 90% of US hospitals and over 300 wellness applications. The platform employs a machine learning-powered data pipeline to standardize health data, making it more accessible and actionable for medical researchers and scientists. Importantly, it empowers consumers to maintain control over their personal health data, determining which companies can access their information. This streamlined approach addresses the challenges of fragmented health data sources, facilitating efficient data sharing and utilization in the healthcare ecosystem.

Sift is a technology company focused on enhancing trust and safety in online interactions. Established in 2011 and headquartered in San Francisco, it provides solutions that help businesses manage and prevent fraud across over 34,000 websites and applications. By leveraging advanced technology and a vast global data network, Sift enables organizations to balance revenue growth with robust security measures. The company's offerings include digital trust and safety services that empower online businesses, alongside a commitment to fostering long-term partnerships with its clients. Sift's approach is designed to ensure that trust remains a fundamental aspect of digital interactions, contributing to safer online environments.

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.

ClearStory Data Inc. is a provider of data analytics solutions aimed at enhancing business intelligence across various industries, including consumer packaged goods, healthcare, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in enabling users to easily discover and analyze data from diverse sources, such as relational databases, Hadoop, and third-party data providers. Its platform modernizes data analysis by automating complex tasks like data harmonization and facilitating interactive analysis, allowing organizations to combine corporate and external data for timely insights. This capability empowers business users to make informed decisions quickly, fostering collaboration among distributed teams. ClearStory Data operates as a subsidiary of Alteryx, Inc. as of April 2019.

BitYota is a provider of a warehouse-as-a-service platform designed for Big Data analytics, making these services accessible and affordable for a wide range of users. The company's platform simplifies the complexities and costs associated with data warehousing, enabling data scientists and engineers to effectively understand their data. This capability allows businesses to enhance their products and services while fostering new avenues for growth and productivity. Founded by data experts with extensive experience in major tech companies, BitYota has successfully raised $12 million in funding from a variety of notable investors. The core team’s collective expertise positions BitYota to deliver robust functionality and high service levels in data analytics.

ClearStory Data Inc. is a provider of data analytics solutions aimed at enhancing business intelligence across various industries, including consumer packaged goods, healthcare, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in enabling users to easily discover and analyze data from diverse sources, such as relational databases, Hadoop, and third-party data providers. Its platform modernizes data analysis by automating complex tasks like data harmonization and facilitating interactive analysis, allowing organizations to combine corporate and external data for timely insights. This capability empowers business users to make informed decisions quickly, fostering collaboration among distributed teams. ClearStory Data operates as a subsidiary of Alteryx, Inc. as of April 2019.

Priceonomics Inc. is a company that specializes in providing price guides for a wide range of used products, facilitating informed buying and selling decisions. Founded in 2011 and based in San Francisco, California, Priceonomics offers price estimates for various categories, including appliances, automotive, electronics, furniture, and sporting goods. By analyzing historical transaction data from online marketplaces, the company generates reliable estimates that help users determine fair prices for items they wish to buy or sell. Priceonomics aims to expand its offerings to include additional categories, such as computers and baby products, ensuring that users can navigate the second-hand market with confidence and avoid overpaying or getting ripped off.

RethinkDB is an open-source distributed database management platform designed specifically for the realtime web. It enables developers to build scalable applications more efficiently by allowing the database to push updated query results directly to applications, eliminating the need for constant polling. RethinkDB supports data storage in JSON documents and features a user-friendly query language that includes capabilities such as table joins and groupBy. The platform is built for reliability across various workloads and edge cases, providing users with the tools to manage clusters effectively, monitor production environments with live statistics, and gain complete visibility into ongoing tasks. This combination of features allows RethinkDB to facilitate the rapid development of realtime applications while maintaining simplicity and scalability.

Silver Tail Systems is the leading provider of predictive analytics to detect and prevent fraud and abuse on websites. Business logic abuse is a rising concern as its extremely difficult to detect and stop, but these hijack threats, velocity attacks and gaming schemes are costing companies millions, if not billions in online fraud. Silver Tail Forensics and Mitigation products use a new generation of detection, efficient investigation and real-time mitigation of events to track suspicious behavior and divert the bad actors, leaving legitimate users unaffected.

Factual is the location data company the world’s most valuable brands and tech companies trust to understand and intelligently grow their businesses. Factual provides product and engineering teams, marketers and data analysts access to the world’s most trusted, accurate and comprehensive data on places and people worldwide, transforming products, advertising and businesses with data that puts everything in context.

RethinkDB is an open-source distributed database management platform designed specifically for the realtime web. It enables developers to build scalable applications more efficiently by allowing the database to push updated query results directly to applications, eliminating the need for constant polling. RethinkDB supports data storage in JSON documents and features a user-friendly query language that includes capabilities such as table joins and groupBy. The platform is built for reliability across various workloads and edge cases, providing users with the tools to manage clusters effectively, monitor production environments with live statistics, and gain complete visibility into ongoing tasks. This combination of features allows RethinkDB to facilitate the rapid development of realtime applications while maintaining simplicity and scalability.