Amplify Partners
Amplify Partners is an early-stage venture capital firm based in Menlo Park, California, founded in 2012. The firm specializes in seed and Series A investments, focusing on technical founders who are developing innovative solutions in information technology, machine intelligence, and infrastructure. Amplify Partners actively seeks opportunities in companies that are addressing complex technical challenges within the enterprise sector, particularly those related to what it terms Infrastructure 2.0. The firm does not invest in consumer internet or cleantech ventures and emphasizes its commitment to supporting entrepreneurs through multiple funding rounds. Initial investments typically range from $50,000 to $1.5 million, reflecting Amplify's targeted approach to backing promising technology companies.
Developer of a supply chain security software designed to make the software lifecycle secure by default. The company's software applies zero-trust principles to supply chain protection to make the software lifecycle secure by default and uses compliant-build systems and integrations, enabling businesses to manage their supply chain security risks.
Developer of a supply chain security software designed to make the software lifecycle secure by default. The company's software applies zero-trust principles to supply chain protection to make the software lifecycle secure by default and uses compliant-build systems and integrations, enabling businesses to manage their supply chain security risks.
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.
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.
Anyscale, Inc. is a technology company based in Berkeley, California, founded in 2019. It focuses on developing distributed programming platforms and tools that simplify the creation of distributed applications, particularly in the field of artificial intelligence. The company's primary offering is Ray, an open-source framework that allows software developers and machine learning engineers to build and scale compute-intensive applications efficiently. By addressing the complexities of hardware decisions, Anyscale's platform enables developers of all skill levels to create applications that can operate seamlessly across various environments, from personal laptops to large data centers.
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.
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