JFrog Ltd.
JFrog Ltd. provides software supply chain platform in the United States, Israel, India, and internationally. The company offers JFrog Artifactory, a package repository that allows teams and organizations to store, update, and manage software packages; JFrog Curation functions as a guardian outside the software development pipeline, controlling the admission of packages into an organization, from open source or public repositories; JFrog Xray, scans JFrog Artifactory to secure all software packages; JFrog Advanced Security, an optional add-on for select JFrog subscriptions; and JFrog Runtime Security, an optional add-on for select JFrog subscriptions to work with other JFrog Security solutions. It also provides JFrog ML, a platform-integrated solution designed for data science and MLOps teams to transform and store data, build, train, and deploy models, and monitor the entire Machine Learning pipeline; JFrog AI Catalog, an extension of JFrog Curation functionality that allows companies to secure, govern, consume and deploy AI technologies; JFrog AppTrust, an optional component with application risk governance of DevGovOps requirements; JFrog Distribution that provides software package distribution; and JFrog Connect, a device management solution that allows companies to manage software updates and monitor performance in IoT device fleets. In addition, the company offers JFrog Pro that provides access to the universal version of JFrog Artifactory and ongoing updates, upgrades, and bug fixes; JFrog Pro X, a self-managed-only subscription; JFrog Enterprise X, offers cluster configuration, federated repositories, multi-region replication, larger enterprise-scale deployments, service-level agreement support, and deeper security; and JFrog Enterprise Plus, a full platform subscription option. It serves technology, financial services, retail, healthcare, and telecommunications organizations. JFrog Ltd. was incorporated in 2008 and is headquartered in Sunnyvale, California with additional office in Netanya, Israel.
What does it do?
JFrog builds the plumbing that software teams use to store, organize, and safely ship their code. Think of it like a heavily secured warehouse for software parts — every app is built from thousands of pre-made pieces, and JFrog makes sure those pieces are tracked, safe, and delivered correctly. For example, when a company updates its mobile app, JFrog's tools help make sure no malicious or broken code sneaks into the update. Big companies like Amazon, Google, and Netflix use JFrog to manage this process at massive scale.
Software supply chain security became a top priority after high-profile hacks like the SolarWinds attack in 2020, where bad actors slipped malicious code into a software update that hit thousands of companies including US government agencies. JFrog sits right at the center of that problem — it controls the flow of software packages inside organizations, which is exactly where those attacks happen. With AI generating more code faster than ever, the risk of unvetted or unsafe code entering production systems is growing, making JFrog's tools more relevant, not less.
How does it make money?
JFrog makes money primarily through subscriptions — companies pay a recurring fee to use its platform, either hosted on JFrog's cloud or run on their own servers. Revenue grew from roughly $0.4B to $0.5B last year, about a 25% increase, which is solid for a software company of this size. The business model rewards scale: bigger companies store and move more software, so they pay more as they grow. JFrog also benefits from a consumption-based element, where customers pay more the more they use, which ties revenue growth directly to customer activity.
Why do investors care?
The growth story hinges on two things: more companies moving to cloud infrastructure and the explosion of AI-generated code creating more demand for secure software pipelines. If every developer is now shipping code faster with AI tools, someone has to make sure that code is safe — that's JFrog's pitch. The company is also pushing into ML model management, positioning its platform as the place to store and distribute AI models the same way it handles software packages. For the thesis to work, JFrog needs to keep winning large enterprise deals and prove it can expand within existing customers over time.
Deep Dive
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