Deployment.io

Important engineering work shouldn’t keep getting delayed.

Give us the work that keeps losing to your roadmap. We plan it, build it, verify it, and ship it to your cloud. Nothing goes to production without your approval.

The capacity problem

The work your roadmap keeps pushing back

It competes for the same engineering capacity as your product priorities, and those priorities usually win. So the work sits, quarter after quarter, until an audit, customer commitment, security deadline, or end-of-life date forces the issue.

Security and compliance remediation

Controls, logging, access, and evidence that a review or an audit is waiting on.

Migrations

Framework, platform, and provider moves that nobody has a spare quarter for.

Dependency modernization

Versions that are behind, unsupported, or already flagged by your scanner.

Enterprise integrations

SSO, provisioning, and the technical asks that arrive with a large customer.

Platform and reliability

Observability, hardening, and the work that only gets attention after an incident.

None of it is optional.

All of it keeps moving to next quarter. Deployment.io is another way to get it finished.

End to end

Give us the outcome. We own the delivery.

Not a recommendation, not a pull request left for someone else to finish. Planned across your repositories, implemented, verified against your build and tests, and deployed to your cloud once you approve it.

STEP 01

You describe the outcome

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.

Shared context across every outcome

Deployment.io builds a shared understanding of your repositories, environments, services, and architecture. Every completed outcome improves that understanding, so the next one starts with more context instead of rediscovering your systems from scratch.

How you work with us

One platform. Two operating models.

The same delivery system underneath. The difference is who runs it.

Managed

A common starting point

We operate the delivery system and take the outcome from scope to verified production.

  • An outcome-based engagement, not hourly work.
  • Coding agents, directed and reviewed by a senior engineer.
  • Execution in your cloud, on your infrastructure.
  • Your team watches every plan, task, and check as it happens.
  • You approve production.

Platform

Your team operates Deployment.io to orchestrate its own engineering work, with your agents, your tools, and your approvals.

  • Reusable context across your repositories and environments.
  • Isolated task execution with your own agents and provider keys.
  • Verification before anything reaches production.
  • Deployment and approval gates your team controls.

The platform underneath

Shared context becomes a plan. The plan becomes verified delivery.

1 · Context2 · Plan3 · Execute

1 · Context

Start from an accurate view of your systems.

Deployment.io maps your repositories, services, environments, and ownership so agents begin with the relevant architecture instead of rediscovering it for every outcome.

ContextBuilt 12 min ago
24
Repositories
6
Environments
3
Databases
18
Services running

Service → repo

  • checkout-apiacme/checkouthigh
  • billing-workeracme/billinghigh
  • notify-svcacme/platform?low

Low-confidence mappings wait for a human to confirm them and are then reused across future work.

2 · Plan

Turn the objective into executable work.

The Assistant reads the relevant repositories, clarifies scope and acceptance criteria, and produces a dependency-ordered plan before implementation begins.

Planning is read-only. Nothing becomes a branch or pull request until you approve the plan.

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

3 · Execute

Implement, verify, and deliver through your workflow.

Tasks run in isolated environments in your cloud, move through your existing review and CI workflow, and wait for human approval before production.

TasksBoard
Backlog2

Rotate refresh tokens

Opus 4.8

Drop legacy /v1 routes

GPT-5.5
Pending1

Add SBOM to release

Sonnet 4.6
Running1

Node 18 → 20, all services

Opus 4.8live
Done2

Fix flaky checkout test

GPT-5.3PR #412

Cache invalidation bug

Haiku 4.5PR #409

Every card runs in an isolated container in your cloud and ends as a pull request you review.

Models are interchangeable. Native MCP server and an open-source skill, so the work runs on the agents you already use.

Claude CodeCursorWindsurfGitHub CopilotOpenAI CodexGemini CLI

Trust and control

Your cloud. Your data. Your control.

Deployment.io runs in your cloud. We don't proxy your traffic, store your code, or hold your secrets. Whether we operate the system or your team does, the work happens on infrastructure you control and production waits for your sign-off.

Your cloud, your data

Source code, credentials, and execution remain in your cloud. Our control plane receives only the operational state, logs, and metadata needed to coordinate the work.

Open-source runner

The runner that touches your infrastructure is open source. Audit it, fork it, run your own build.

Revoke access anytime

We connect via a scoped role you control. Detach the role and we lose all access, instantly.

Approval gates by default

Production deploys require human approval. Role-based access controls scope what each teammate, and each agent, can do.

What engineering outcome keeps getting delayed?

Tell us what needs to be completed, what systems it touches, and what production means for your team.