CloudBees Unify is an AI‑driven control plane that aggregates metadata from existing CI/CD, SCM, security, and feature‑management tools into a unified knowledge graph. It enables autonomous agents to orchestrate workflows, enforce policy‑as‑code, and provide real‑time analytics and remediation without requiring toolchain replacement. The platform helps enterprise DevOps teams reduce manual effort, improve compliance, and accelerate safe software releases.
Funding
$150M 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.
+1Founders
Product
Problem
Enterprises often operate fragmented DevOps toolchains—Jenkins, GitHub Actions, Tekton, and various security scanners—requiring manual glue code, duplicated pipelines, and constant context switching. This sprawl inflates developer cognitive load, hampers compliance enforcement, and makes large‑scale migrations costly and risky.
Solution
CloudBees Unify provides an AI‑first control and context plane that layers over existing CI/CD, SCM, security, and feature‑management tools without requiring a rip‑and‑replace migration. By building a unified knowledge graph of commits, builds, tests, and releases, the platform enables autonomous agents to orchestrate workflows, enforce policy, and surface actionable insights in real time. Integrated analytics deliver a single source of truth for delivery metrics, while built‑in security and compliance checks embed governance throughout the software delivery lifecycle. The result is faster, safer releases with reduced developer toil and measurable productivity gains.
Target Audience
The primary customers are enterprise platform engineering and DevOps teams that manage large, multi‑tool delivery pipelines—particularly in regulated sectors such as financial services, automotive, government, and software‑intensive enterprises. Individual developers benefit from the self‑service, AI‑augmented workflows enabled by the platform.
Features
- Model Context Protocol (MCP) server that aggregates metadata from Jenkins, GitHub Actions, Tekton, Jira, and scanning tools into a unified knowledge graph.
- Agentic DevOps AI that auto‑triages failures, proposes fixes, and can execute remediation steps such as opening PRs or applying patches.
- Policy‑as‑code enforcement and automated compliance checks that run continuously across pipelines, with audit‑ready reporting.
- Integrated feature‑flag management for progressive delivery, allowing safe rollouts and instant rollbacks.
- Smart Tests AI that analyzes test results, identifies flaky tests, and accelerates feedback loops by up to 80 %.
- Release orchestration engine that visualizes multi‑service deployments, tracks dependencies, and coordinates approvals without manual scripting.
- Real‑time analytics dashboard delivering DORA, flow, security, and quality metrics, plus AI‑driven recommendations for bottleneck remediation.
- Seamless plug‑in architecture that connects to existing toolchains, preserving investments while providing a consistent developer experience.