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CircleCI

CircleCI provides an autonomous validation platform that automates testing, building, and deployment for any application, delivering AI‑speed feedback with minimal human oversight.

Traction 10/10
San Francisco, United States · HQ
Founded 201135830K+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
  • Enterprise Software
Updated 5 months ago

Funding

Raised to date

$100MRaised 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.

Funding rounds are not available yet.

Founders

3 founders

Jim Rose

CEO

Rob Zuber

CTO

samba Tiyyagura

AI/ML MLOps Dev @CircleCI Software Developer/Co-Founder @Skrunch Technologies

Product

Problem

Software teams often face slow, manual CI/CD pipelines that cannot keep up with rapid code changes, especially when AI-generated code and large-scale deployments are involved. This leads to delayed feedback, flaky tests, and reduced confidence in releases.

Solution

CircleCI offers an autonomous validation platform that automates testing, builds, and deployments while incorporating expert‑in‑the‑loop tooling to maintain pipeline health 24/7. The platform leverages AI‑driven agents (Chunk) and the MCP server to provide rapid feedback, automatically fix flaky tests, and prioritize the most relevant test suites, delivering up to 97 % faster test cycles. Integrated execution environments support a wide range of runtimes—including Docker, Kubernetes, GPU, and AI frameworks such as SageMaker—allowing any application to be built and deployed at any scale. Cloud‑hosted analytics and release orchestration give developers real‑time visibility, automated rollbacks, and confidence in every change, whether it originates from a human, an AI agent, or a model.

Target Audience

Primary customers are software development teams, platform engineers, and DevOps groups in startups, SMBs, and enterprises that need fast, reliable CI/CD for cloud‑native, AI, and containerized applications.

Features

  • AI‑powered Chunk agents that validate code changes in real time and auto‑resolve flaky tests and technical debt
  • MCP server for natural‑language CI, enabling AI‑driven workflows and model evaluation pipelines
  • Execution environments covering Docker, Kubernetes, GPU, ARM, Windows, macOS, and AI services (SageMaker, Jupyter)
  • Smart test selection (Smarter Testing) that runs only the tests that matter, reducing test time by up to 97 %
  • Autoscaling and credit‑based resource allocation for unlimited concurrency and enterprise‑grade performance
  • Integrated release management with automated incremental rollouts, monitoring, and instant rollback capabilities
  • Extensive catalog of pre‑built integrations (Orbs) for GitHub, GitLab, Bitbucket, AWS, GCP, Azure, and third‑party tools such as security scanners and deployment services
This profile is AI-generated and may contain inaccuracies.