Section 32
Section 32, established in 2017, is a California-based investment firm led by Bill Maris, the former CEO of GV (Google Ventures). The company focuses on early-stage investments in life science, healthcare, and technology sectors across the United States. It primarily invests between USD 5 to USD 10 million in 25 to 30 companies per fund, with a goal to accelerate the discovery, development, and distribution of innovative technologies that enhance the human condition. The firm's portfolio spans various tech subsectors, including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
Endor Labs
Series B in 2025
Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.
Endor Labs
Series A in 2023
Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.
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