Build
Create new software from a defined specification.
- Product features across frontend and backend
- APIs, workers, and internal applications
- SSO, SCIM, and enterprise integrations
Software built and deployed to your specification.
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.
A different way to add engineering capacity.
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
From specification to production.
Our senior engineers and AI agents take your specification through planning, implementation, verification, and deployment. We own delivery. You approve production.
01
Specify
Tell us what needs to exist in production. Together we define scope, acceptance criteria, and what is out of scope.
02
Plan
We map the relevant repositories, services, infrastructure, and dependencies into an executable delivery plan.
03
Build
AI agents implement the work in isolated environments, directed and reviewed by our senior engineers.
04
Verify
Changes go through your tests, CI, review requirements, and agreed acceptance criteria.
05
Deploy
After your approval, we deploy to your cloud with a rollout and rollback plan suited to your systems.
End to end
See the delivery system in action.
An agreed specification becomes a plan across your repositories, work directed by our senior engineers, verified changes, and an approved deployment.
STEP 01
Your specification becomes a plan
One outcome, in plain language. We read your repositories and turn it into a dependency-ordered plan across every service it touches, before anything gets written.
Auto-playing. Tap a stage to explore.
app.deployment.io
The plan forming across your repositories.
Illustrative product workflow.
A specification your team can review.
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.
SpecSession · Claude Code
ReadyComplexity: medium3 repos
Goal
Move session auth onto rotating refresh tokens without logging anyone out.
Acceptance criteria
- Existing sessions stay signed in through the cutover
- Refresh tokens rotate on every use
- Rate limit is enforced per user, not per IP
Out of scope
SSO, password reset emails.
Convert to Task→ lands in Backlog
Illustrative specification and acceptance criteria.
What we build
Build. Modernize. Remediate.
Modernize
Move existing systems to a defined target state.
- Runtime, framework, and dependency upgrades
- Application, database, and platform migrations
- Architecture changes across repositories
Remediate
Turn findings and operational gaps into production changes.
- Penetration-test and scanner findings
- Technical controls for compliance requirements
- Reliability fixes and system hardening
Trust and control
Your cloud. Your data. Your 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.
Your cloud, your data
The runner executes in your cloud. Job state, logs, and metadata reach our control plane; model requests use your configured AI provider.
Open-source runner
The runner that touches your infrastructure is open source. Audit it, fork it, run your own build.
Revoke access anytime
You control runner permissions in your cloud account. Review cloud roles, team access, and provider credentials when changing access.
Approval gates by default
Production deploys require human approval. Role-based access controls scope what each teammate, and each agent, can do.
What do you need built?
Tell us what needs to exist in production. We will help turn your specification or technical objective into a scoped project.