Build
Create new software from a defined specification.
- Product features across frontend and backend
- APIs, workers, and internal applications
- SSO, SCIM, and enterprise integrations
Built 10x faster. Delivered at lower cost.
Our senior engineers use our platform to orchestrate AI agents that build, verify, and deploy software in your cloud.
You define the outcome. We own the delivery.
Runs in your cloud · Outcome-based pricing · You approve every production deployment.
Traditional outsourcing sells you people.
Coding agents give your existing engineers tools.
Deployment.io delivers software running in production.
| Delivery capability | Coding agents | Outsourcing | Deployment.io |
|---|---|---|---|
| Writes code | Yes | Yes | Yes |
| Understands work across repositories | Depends on engineer | Yes | Yes |
| Plans the complete outcome | Your team | Yes | Yes |
| Runs verification | Your team | Varies | Yes |
| Works inside your cloud | Sometimes | Varies | Yes |
| Owns delivery to production | Your team | Varies | Yes |
| Outcome-based engagement | — | Usually no | Yes |
Scroll horizontally to compare all three approaches.
Typical engagement models; capabilities and responsibilities vary by tool, provider, and contract. Production deployment with Deployment.io requires your approval.
Your engineering team stays focused on the roadmap while Deployment.io owns a defined outcome end to end.
How it works
Our senior engineers and AI agents run the same loop on every piece of work, until it is live in your cloud. We own delivery. You approve production.
Tell us what needs to exist in production. Together we set the scope, the acceptance criteria, and what is explicitly out of scope — before any work begins.
01
A session reads your repositories, services, and dependencies, and produces a specification your team can review before anything is written.
02
AI agents implement the specification in isolated environments, directed and reviewed by our senior engineers.
03
Every change goes through your build, your tests, and the acceptance criteria agreed in the plan. Nothing counts as done until it passes.
04
After your approval, we deploy to your cloud with a rollout and rollback plan suited to your systems.
End to end
An agreed scope becomes a specification you review, then work directed by our senior engineers, verified changes, and an approved deployment.
One outcome, in plain language. We read your repositories and turn it into a specification: a dependency-ordered plan across every service it touches, reviewed before anything gets written.
The plan forming across your repositories.
Illustrative product workflow.
Scope, acceptance criteria, and exclusions are agreed before implementation. The platform carries that context through planning, verification, and delivery.
Want your team to operate Deployment.io? Explore Platform.
Goal
Move session auth onto rotating refresh tokens without logging anyone out.
Acceptance criteria
Out of scope
SSO, password reset emails.
Illustrative specification and acceptance criteria.
What we build
Create new software from a defined specification.
Move existing systems to a defined target state.
Turn findings and operational gaps into production changes.
Trust and control
The runner executes on infrastructure you control. Our control plane coordinates delivery, and agents use your configured AI provider. For Managed delivery, production waits for your sign-off.
The runner executes in your cloud. Job state, logs, and metadata reach our control plane; model requests use your configured AI provider.
The runner that touches your infrastructure is open source. Audit it, fork it, run your own build.
You control runner permissions in your cloud account. Review cloud roles, team access, and provider credentials when changing access.
Production deploys require human approval. Role-based access controls scope what each teammate, and each agent, can do.
Tell us what needs to exist in production. We will help turn your specification or technical objective into a scoped project.