Self-Service That Cannot Break Your Rules
The Self-Service Cloud Platform, for Platform Engineers
Agents can already create infrastructure in your account. You cannot see what they made, what it costs, or whether it follows the rules you wrote down last quarter.
You run the platform your developers and their coding agents build on, and you are the one who gets paged when something they created is wrong.
Planton turns your own cloud account into a self-service platform. AI designs the infrastructure, verifies the cost and permissions before anything is created, and publishes it as templates your whole team can deploy. Your services then ship onto that infrastructure straight from Git.
What Decides It
Rules Written Once
Budgets, protected environments, and a curated catalog hold whether the request came from the console, the CLI, or an agent at two in the morning.
A Record, Not a Transcript
Every deploy is one stack job you can query by resource, environment, time, and outcome, with the exact configuration embedded.
Your Terraform Stays Yours
Every module is open-source Terraform and Pulumi under Apache 2.0. What you already run is adopted, not rewritten, and if you leave you keep deploying your manifests with the open-source CLI.
Your Rules Hold No Matter Who Asked
You write the budget, the protected environments, and the allowed catalog once. Every door reads the same rules and refuses the same things, so an agent cannot do what a person could not.
An environment can carry a deployment budget. A deploy whose verified cost exceeds it pauses for a human decision, and who approved, when, and why is stamped on the record.
Protected environments pause before anything deploys, and nobody approves work they initiated, the assistant included.
The catalog can be curated to the component kinds your organization allows. The console, the CLI, and the agent all see the same list and refuse the same things, because one answer serves both.
A field the schema marks sensitive takes a managed secret. There is no way to type a raw secret into it.
Deploy paused
requested by
coding agent, on behalf of s.rao
environment
prod · protected · budget $250/mo
verified cost
~$312/mo est.
verdict
over budget by ~$62/mo · paused for a decision
who may approve
anyone with approve access on prod · never the requester
resolution
approved by a.patel · 2026-09-17 09:14 · “the replica is intentional”
An illustration of the record the product shows. Figures marked est. are examples; a real record carries its own.
Verified Before It Exists
Before an agent’s design exists, you see its monthly cost with its coverage stated, the least-privilege policy it needs, and the controls each component enforces.
Every deployment-changing job is born with a verified monthly cost: an exact figure with line items when the pricing rules can derive one, a range otherwise, and plainly “unpriced” when neither is possible. A zero never stands in for unknown.
The least-privilege permission policy is derived from exactly what is composed, per component kind.
Every covered component states which of a fixed list of 17 technical controls it enforces, with evidence for each claim.
Before deploy
verified cost
~$172/mo est. · 5 of 6 components priced, 1 usage-based
catalog release
2026.09.2 · prices verified against provider documents
against today
+$16/mo est. · the load balancer is new
permissions
least-privilege policy · 14 actions · ready to download
controls
encryption at rest · encryption in transit · no public exposure
uncovered
none of the 6 components is without a control profile
An illustration of the record the product shows. Figures marked est. are examples; a real record carries its own.
Every Deployment Leaves a Record
The deploy nobody watched is a stack job with the configuration embedded, the verdicts stamped, and the approver named. You read it; you do not reconstruct it.
The full configuration is embedded into the job when it is created, and the job is immutable: the resource may change later; the job never does.
Every job is retained and queryable by resource, organization, environment, time, and outcome.
Every cloud resource Planton creates carries identity tags naming its organization, environment, kind, and id.
Deploy record
deploy
production environment · prod · succeeded
requested by
coding agent, on behalf of s.rao
approved by
a.patel · 2026-09-17 09:14 · “the replica is intentional”
configuration
embedded at creation; never changes
verified cost
~$312/mo est. · catalog 2026.09.2
phases
init · refresh · preview · apply · capture
snapshot
7 resources · tagged planton.ai/environment=prod
An illustration of the record the product shows. Figures marked est. are examples; a real record carries its own. Every deploy leaves one of these.
The Rest of the Story
The chapters that matter next, each with the page that tells it in full.
The Self-Service Cloud Platform
Two halves: Infra Hub, where a design becomes a template your team redeploys, and Service Hub, where a push becomes a deployment inside your environments’ gates.
Infra Hub →Runs Where You Decide
Start on your laptop for free and move to hosted or your own cluster with the same manifests. Connections can be keyless, and every module is open source.
Distributions →Services Ship from Git
Once the infrastructure exists, developers connect a repository and every push obeys the promotion order and the gates you declared.
Service Hub →Bring What You Already Have
What already exists is adopted and its state imported in one verified step, so the record covers your estate, not only what Planton created.
Import →You Will Ask
Is this another abstraction layer I will be fighting in six months?
Every component is a typed schema over an open-source Terraform or Pulumi module, and controls are stated against one fixed list rather than a hundred field names. What you already run is adopted, not rewritten, and if you leave, the modules and your manifests go with you.
Open Source →What can the agent do that a person could not?
Nothing. It comes through the same door as the console and the CLI, reads the same rules, and gets the same refusals. A protected environment pauses for a human, and nobody approves work they initiated, the assistant included.
Coding Agents →What happens to my environments if Planton goes away?
Every infrastructure module is open source under Apache 2.0. You take your manifests and keep deploying them with the open-source CLI. In every shape it is your cloud account, your keys, your state, and your bill.
Distributions →Proof It Works
Teams have run production on Planton since 2023. Here is what the people running it say, in their own words.
700+
Component Kinds
8
Providers
17
Controls with Evidence
Since 2023
In Production
Catalog figures counted from the open-source repository on 2026-09-17 (github.com/plantonhq/planton); 2023 is the year the first customer went to production.
Sai Saketh
Junior DevOps Engineer
“As a junior DevOps engineer with almost no AWS experience, Planton enabled me to provide a very mature developer experience to our entire 7-person dev team. They can quickly deploy services to multiple environments without me having to deal with learning AWS from scratch or rewriting complex infrastructure code.”
Rakesh Kandhi
Senior Developer
“The dot-env file generation for services feature in Planton's ServiceHub been super helpful for me. I can now update service configurations without having to ping Balaji every time. Even better, creating new services and deploying them to dev, staging, or prod is completely self-service. I don't need to wait for DevOps anymore.”
Read It for Another Role
Planton for Engineering Leaders
What your team deploys, proven before it exists: the cost, the rule that held, and the record, without a new team and without opening a console.
How Planton Fits Your Work →Planton for Security and Governance Leaders
Rules that hold at the moment of creation, controls stated with evidence and never called compliant, and a record of every change; a complement to your posture tools.
How Planton Fits Your Work →