CircleCI provides an autonomous validation platform that automates testing, building, and deployment for any application, delivering AI‑speed feedback with minimal human oversight.
Funding
$100M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
9OGAFounders
Product
Problem
Software delivery pipelines often suffer from slow feedback, flaky tests, and manual oversight, which delays releases and reduces confidence in code changes, especially as AI-generated code accelerates development cycles.
Solution
CircleCI offers an autonomous validation platform that continuously runs and validates code changes with AI‑driven test selection and expert‑in‑the‑loop tooling. The system automatically identifies the most relevant tests, executes them up to 97% faster, and provides actionable feedback, including automatic fixes for flaky tests and tech‑debt. Integrated execution environments, Chunk agents, and MCP servers enable 24/7 pipeline operation across any language, framework, or deployment target. Developers can monitor incremental releases, roll back automatically, and maintain enterprise‑grade confidence while moving at AI speed.
Target Audience
Primary customers are software development teams, platform engineers, and DevOps groups in enterprises and fast‑growing startups that need reliable, high‑velocity CI/CD pipelines for web, mobile, AI, and cloud‑native applications.
Features
- AI‑powered test prioritization that runs only the tests that matter, reducing feedback time by up to 97%
- Autonomous “Chunk” agents that validate code changes from developers, AI agents, and LLMs without human intervention
- Built‑in flaky‑test detection and automatic remediation to keep pipelines healthy
- Release orchestration with automatic rollback and incremental deployment monitoring
- Extensive integrations via CircleCI Orbs for GitHub, GitLab, Bitbucket, AWS, GCP, Azure, Kubernetes, Docker, and AI services such as SageMaker
- Scalable execution environments (Docker, Linux/Windows/macOS VMs, GPU, Arm) with autoscaling and credit‑based usage
- Expert‑in‑the‑loop tools that surface actionable insights and allow manual overrides when needed