Problem

Depot addresses a core software-delivery bottleneck: Docker and other container builds are often painfully slow in CI. Caches may be unavailable between builds or must be saved and restored as large artifacts over unreliable networks, while hosted CI environments can provide limited CPU, memory, and disk resources. The killer use case is a multi-platform image build in GitHub Actions or a similar provider that can take 45 minutes because of flaky networks, restrictive cache limits, and architecture emulation. Slow builds delay deployments, consume engineering time, and reduce the pace at which businesses can ship and iterate.

The pain has direct economic consequences. Depot says its tooling removes build bottlenecks and saves enterprises thousands of hours per month. In one AWS-documented retail deployment, moving CI workloads to Depot reduced key build times from 12 minutes to 5, cut CI costs by 55%, increased monthly build velocity by more than 25%, and helped the customer complete a major migration two quarters ahead of schedule.

Product / Service

Depot is a cloud-delivered build-acceleration platform. Its remote container-build service is a drop-in replacement for docker build: build context is sent to a remote, optimized BuildKit builder, which uses fast persistent NVMe-backed caching rather than repeatedly transferring Docker layers over the network. Builders are ephemeral while project caches persist across builds, and the service supports native Intel and Arm image builds, parallelism, and integrations with providers including GitHub Actions, CircleCI, GitLab, Buildkite, and AWS CodeBuild.

Depot also provides managed GitHub Actions runners that launch on demand on dedicated cloud instances, alongside the container builder in the same private network. This combines faster compute with high-throughput shared caching and reduces latency when images are built and loaded back into CI. The company advertises container builds up to 40 times faster, GitHub Actions workflows up to 3 times faster, caching up to 10 times faster, and runner costs at roughly half those of GitHub-hosted runners. Its broader platform is expanding into local builds, remote caching, agent sandboxes, and Depot CI for engineers and autonomous software agents.

Market

Depot competes in build acceleration, developer productivity, and CI/CD infrastructure. Its competitive set includes GitHub-hosted Actions and alternative CI execution platforms such as GitLab CI/CD, CircleCI, and Jenkins, as well as self-hosted runners and managed container-build services. Depot differentiates by focusing on build performance, persistent distributed caching, dedicated compute, native multi-architecture builds, and a low-friction migration path that can involve changing a Docker command or a runner label rather than redesigning a workflow.

The company has meaningful commercial traction rather than appearing pre-revenue: Depot says thousands of teams use it every day, and Y Combinator identifies PostHog, Wistia, Appsmith, and Secoda as customers that save tens of hours of build time daily. It was backed by Y Combinator and announced a $10 million Series A in March 2026 from Felicis, Y Combinator, and Pioneer Fund. The available research does not disclose revenue or ARR, but the customer references, enterprise case studies, daily usage claims, and follow-on funding indicate an active business with an expanding product scope.