CloudShip AI

CloudShip AI is a platform that converts DevOps, FinOps, and security role responsibilities into autonomous AI agents that run entirely on your own infrastructure. It combines an open-source orchestration engine called Station with an optional cloud platform for centralized management, dashboards, and cross-context remediation. Agents connect to your existing tools via Model Context Protocol (MCP) servers, execute investigations, and surface structured insights for engineering leaders and executives — without ever exposing credentials to third-party systems.

• Station (Open Source Runtime): Install the free, open-source orchestration engine with a single curl command, then deploy pre-built agent bundles for FinOps, DevOps, Security, and SRE workflows.
• Declarative Agent Configuration: Define agents using YAML/JSON templates with customizable prompts, tools, thresholds, and output schemas — version-controlled and GitOps-friendly.
• Agent Bundles & Templates: Choose from ready-to-deploy bundles (e.g., AWS cost explorer, CI/CD pipeline, security scanner) and customize them to match your team's specific workflows.
• MCP-Powered Integrations: Connect agents to AWS, Azure, GCP, Kubernetes, GitHub, Datadog, PagerDuty, Terraform, Slack, and dozens more tools via open MCP standards.
• Cloud Platform Dashboard: Aggregate all agent run outputs into a centralized interface with structured data tables, dynamic charts, and custom leadership reports.
• Cross-Context Remediation: Agents collaborate across systems (e.g., AWS + GitHub + monitoring) with shared context to resolve complex multi-system issues autonomously.
• Data Lineage & Transparency: Every AI insight traces back to its source agent run with full citations, timestamps, and structured JSON outputs — no black boxes.
• CISO-Friendly Security Model: Credentials never leave your infrastructure; the platform only receives agent run outputs and metadata, making it auditable and enterprise-approvable.
• Decision Views for Leadership: Aggregate widgets into purpose-built executive views that answer specific operational questions with flippable insights and drill-down breakdowns.
• Local LLM Support: Run agents with your own LLM to comply with company AI policies and data governance requirements.