Amplify Partners

Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – in your data warehouse. It's built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.

Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – in your data warehouse. It's built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.

Dagster Labs develops an open-source Python library known as Dagster, which serves as a data orchestration platform for building modern data applications. The platform facilitates collaboration among infrastructure engineers, data engineers, and data scientists, enabling them to efficiently process and produce trusted data. Dagster offers a user-friendly programming model for constructing data pipelines and workflows, designed to integrate smoothly with existing tools and systems. Its incrementally-adoptable architecture allows clients to leverage their current infrastructure while enhancing their data management capabilities.

Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.

Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

Provider of a search and discovery platform designed to access open-source projects. The company's platform combines in-class Technical Metadata with behavioral and social metadata built specifically for data scientists, data engineers, and AI practitioners, enabling data scientists, data engineers, and AI practitioners to access data in a hassle-free manner.

Ursa Computing specializes in developing data-science tools aimed at enhancing productivity and performance in the fields of machine learning and artificial intelligence. The company focuses on creating enterprise products and services that empower data teams by providing open-source developer tools. These tools are designed to improve various aspects of the data science lifecycle, including data access, preparation, cleaning, analytics, and feature engineering. By advancing the state of the art in high-performance, cross-language software, Ursa Computing seeks to facilitate the work of data scientists and accelerate their projects.

Einblick Analytics Inc. develops a visual data computing platform that enables businesses to leverage advanced machine learning in collaborative environments without the need for coding. Founded in 2019 and based in Cambridge, Massachusetts, Einblick offers tools for data preparation and visualization, allowing analysts to create graphs from raw business records efficiently. The platform is designed to facilitate a faster understanding of historical data, predict future trends, and support informed decision-making. Its clientele includes notable organizations such as a prominent luxury German car brand, DARPA, and a major internet service provider.

Material Security is a developer of data-driven security software designed to safeguard organizations' users and information. Founded in response to significant data breaches, the company emphasizes the importance of protecting private data through creativity and practicality. Its software leverages common tools in innovative ways to assess and mitigate risks associated with cloud office applications. By connecting quickly to analyze risks, detect threats, and investigate incidents, Material Security enables clients to effectively protect sensitive information. The company collaborates closely with leading organizations to enhance the security and productivity of their employees, aiming for resilience rather than relying on superficial solutions. Through its technology, Material Security supports clients across various sectors, including media, finance, technology, and public services, ensuring the confidentiality and safety of their operations.

Diffbot is a world-class group of AI researchers building an autonomous system to structure the world's knowledge. Thousands of leading companies rely on Diffbot data for their enterprise and consumer applications.

BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.

BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.

WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.

BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.

Cask Data, Inc. is a technology company that addresses big data challenges by providing an open-source application development platform tailored for the Hadoop ecosystem. This platform facilitates data and application virtualization, significantly accelerating the development process for a variety of real-time and batch use cases. Cask offers several key products, including Cask Coopr, a template-based cluster management solution for provisioning and scaling clusters in cloud environments, and Tigon, a distributed framework designed for real-time data processing and analytics. The company also provides a cloud sandbox for its application platform on Amazon Web Services. Founded in 2011 and based in Palo Alto, California, Cask Data was known as Continuuity, Inc. until its name change in 2014. It operates as a subsidiary of Alphabet Inc. and has formed strategic collaborations, including one with Cloudera.

WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.