Ravion
Ravion provides a control plane that runs inside a customer's own AWS account, offering fast building blocks for CI/CD pipelines, deploys, and Terraform automation. The platform connects infrastructure state, deployments, failures, logs, and metrics into a single operating context, with an open module system and agent-native workflows via CLI and API. Teams can start from a library of 30+ open-source Terraform modules or bring their existing Terraform for incremental adoption.
- Developer Tools
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Engineering teams often outgrow basic deployment platforms but cannot justify the time or headcount to build and maintain a full internal platform around AWS. Fragmented workflows across separate tools for Terraform, builds, deploys, and visibility create operational overhead and slow product development. As AI agents multiply the volume of code changes, teams face growing bottlenecks in CI queues, disconnected tooling, and difficult rollback processes.
Solution
Ravion provides a control plane that runs inside a customer's own AWS account, delivering a Vercel-like developer experience with the governance and flexibility of raw AWS. Developers and AI agents provision, deploy, and operate through reusable, governed modules instead of interacting directly with Terraform or low-level AWS resources. Ravion connects infrastructure state, deployments, failures, logs, and metrics into a single operating context available through the product, CLI, and API. Teams can start from a standard library of production-ready Terraform modules, customize them, or bring existing Terraform, enabling incremental adoption without ripping out their existing toolchain. The platform supports PaaS workflows such as push-to-deploy services, workers, Lambdas, and static sites, along with advanced deployment strategies like rolling, blue-green, canary, and linear releases. Every change gets a reviewable plan, approval gates, and a full audit history, with one-click rollbacks for fast recovery.
Target Audience
Primary customers are engineering and platform teams with production workloads on AWS that have outgrown PaaS platforms like Heroku or basic deployment setups, including lean DevOps teams, platform teams building internal developer platforms incrementally, and teams whose AI agents generate code faster than their deployment pipeline can ship it.
Features
- Standard library of 30+ open-source, production-ready Terraform modules for AWS, with the ability to fork or customize them
- Terraform and OpenTofu automation with managed state, approval gates, drift detection, and a versioned history of every resource
- Agent-native workflows through CLI and API with dry-run capabilities, reviewable plans, and approval-gated applies with service-account-scoped permissions
- Deployment automation to ECS, EC2, Lambda, and static sites with rolling, blue-green, canary, and linear release strategies, approvals, and one-click rollbacks
- Internal developer platform capabilities that turn Terraform into self-service building blocks with typed inputs, replacing tools like Backstage and Terraform Cloud
- CI/CD pipelines running on Firecracker microVM sandboxes with whole-disk caching and any instance size, keeping code, caches, and logs in the customer's own AWS account
- Preview environments for ephemeral per-branch environments, centralized secrets management, and cost tracking (coming soon)
- Firecracker microVM sandboxes for AI agents in the customer's AWS account (early access)