Infrastructure for autonomous DevOps.
Scale your DevOps with a team of AI agents.
Offload your operational tasks to AI agents, with controlled, temporary access to your real environments.
Try it now
How much of your DevOps work could StratoNext take on?
Ask the agent you already use. Paste this prompt into Claude Code, Cursor, or any coding agent and it will map your cloud and show how much of your operational work StratoNext could automate.
Run curl -s https://www.stratonext.ai/prompts/aws.md and follow the instructions.
Your agent knows your code. It doesn't know production.
Your coding agent can read the repository, understand the architecture, and identify a likely fix. But the answer may be in ECS, CloudWatch, RDS, IAM, deployment state, or the configuration of the running environment.
Today, a human becomes the API between the agent and production.
Access, done right
Give agents hands, not keys.
AI agents become dramatically more useful when they can act. But production access cannot mean handing an agent permanent administrator credentials. StratoNext gives agents the access they need for the task, under the rules you define.
Identity
Know which agent is acting.
Policy
Control what it can do, where, and under which conditions.
JIT access
Grant access only for the task and only for as long as required.
Audit
Know what happened, why it happened, and who approved it.
One real scenario
Let your coding agent operate a real the environment.
Your agent found an unhealthy instance behind payments-api's load balancer:
-
01 Inspect the load balancer's target group
-
02 Read the relevant health-check logs
-
03 Identify the unhealthy instance
-
04 Request permission to reroute traffic to a healthy instance
-
05 Receive human approval
-
06 Update the target group to redirect traffic
-
07 Verify traffic is healthy
-
08 Report the result
The human still decides. The agent only acts inside a trusted guardrail, scoped to exactly that one approved action.
Put AI agents on your ops work, with access scoped to each task.
Start free. No commitment required.
Autodiscovery
Give agents the context they need to act correctly.
An agent with permissions but no environment context is dangerous. StratoNext continuously maps your environments so agents can understand:
This turns your infrastructure graph from a feature into part of your safety story.
Automatic discovery
Discovers topology, service inventory, environment variables, and deployment history from every connected platform, and keeps it in sync.
Full deployment details
Regions, resource IDs, scaling policies, network config, all surfaced in a structured format agents can reason over.
Multi-platform projects
A single project can span AWS, Azure, GCP, and on-prem simultaneously. Agents see the whole picture, not just one cloud.
Amazon AWS 
Google Cloud 
Microsoft Azure Works with the stack you already run.
Google Cloud 
Port Google Cloud Port Use the agents you already use.
StratoNext doesn't require you to replace your AI coding agent. Connect the agents your team already uses and give them access to the environments they operate. Coding agents. Internal agents. MCP-compatible agents.
Autonomy Policy
From assisted operations to autonomous operations.
From fully gated approvals to policy-driven autonomy, every team decides how much control to keep. Change it per environment. No code required.
01
Human gated
Every agent action requires explicit human approval before execution. Nothing happens without a sign-off.
- ✓ All changes reviewed
- ✓ Manual approval
- ✓ Max oversight
02
Supervised
Agents act freely in dev and staging. Production changes are gated. The right balance for most teams.
- ✓ Env-based gates
- ✓ Prod approval only
- ✓ Recommended
03
Autonomous
Agents operate end-to-end within defined policy boundaries. Full audit trail, zero manual steps.
- ✓ Policy-driven
- ✓ Full audit trail
- ✓ Max velocity
Safe by Design: Readers vs Writers
Most agents operate in read-only mode by default. Write access is isolated, controlled, and granted only when needed.
Where you're starting from
Your ops team, extended with AI Agents.
Same team, more coverage. If you don't have an ops team yet, that works too.
AI Agents join the team.
Your engineers decide what agents are allowed to do. Then the agents go do it: alarm triage, maintenance, runbooks, cost checks. Each one gets access to the environment for that task only, and it expires when the task is done. Your team stays in charge and stops doing the boring half of the job.
Your team sets the rules
You decide what agents can touch, in which environments, and what always needs a human to say yes.
Fewer pages at 3am
Alarm triage, routine maintenance, cost reviews, and IAM audits get handled without waking anyone up.
You can see everything
Every action ties back to a specific agent, a rule, and an approval. Nothing happens anonymously.
AI Agents become the ops team.
You don't have to hire an ops team first. StratoNext gives AI Agents the same guardrails a good ops team would insist on: limited permissions, approvals where they matter, access that expires on its own, and a log of everything. Your agents can run real infrastructure from day one.
Guardrails without waiting
The controls an experienced ops team would put in place, ready before you hire your first dedicated ops role.
No keys to leak
Agents never hold keys. Access is issued per task, scoped to one resource, and expires on its own.
Agents to start from
No agents yet either? Start with ours for AWS, GCP, Azure, or on-prem, and swap in your own later.
Unified Ops Context
One operational context for every agent.
Agents shouldn't each have their own incomplete understanding of production. An agent pulls what it needs on demand, does the work, and writes what it learned back - and every other agent, and your team, see the same up-to-date context instead of starting over.
Abstraction over your tools
A single layer on top of your existing tools, docs, and runbooks. Agents find the right place to connect for any ops task, without you wiring each one by hand.
Environments stay shielded
Agents connect through StratoNext, not directly to your clouds. They never see or hold credentials, the platform brokers every connection for them.
Ops knowledge, built in
Where things live, how they connect, which runbook applies. StratoNext gives AI agents the operational context a new engineer would take months to learn.
Real work, running in the background.
With context and scoped access in place, agents take on long-running jobs, scheduled operations, and incident response. They execute autonomously inside their boundaries and report back.
Infrastructure for autonomous DevOps.
Six primitives sit between AI agents and your infrastructure. Humans define the boundaries once. Agents operate inside them, every time.
Identity
Every agent has a platform identity. StratoNext knows which agent is asking before it evaluates anything else.
Context
Topology, environments, ownership, and runbooks, supplied to the agent so its request is informed rather than guessed.
Authorization
Not just can this identity act, but should this agent perform this action, on this resource, for this reason, right now.
Just-in-time access
Only the permissions the task requires, only when required, only for as long as required. Then the access disappears.
Execution
Approved operations run against real infrastructure through the platform. Agents act without ever holding your credentials.
Audit and governance
What the agent did, why it did it, and under which policy it acted. Recorded and attributable, not reconstructed later.
A single point of connection.
Stop managing long-lived keys, scattered credentials, and per-account profiles. StratoNext grants just-in-time access through one connection, so agents operate across every account while permissions stay centrally controlled.
Use Cases
What teams do with governed agent access
Five ways teams put StratoNext between production and everyone who needs to reach it.
Give AI agents access to production
Your developers' coding agents can read the repository but not the environment it runs in. Give each agent its own scoped, expiring access so it can inspect the real system instead of asking a human to paste logs at it.
Run operational work around the clock
Give AI Agents scoped, time-boxed production access so incident response, maintenance, and runbooks run around the clock inside boundaries your team defines.
Give agents your operational knowledge
An agent with credentials but no context is dangerous. Capture your topology, runbooks, and conventions so agents act with competence, not just permission.
Operate customer environments without holding permanent keys
Operating a customer's cloud usually means holding their keys. Issue access per task instead, inside the trust boundaries each customer defines.
Keep legacy apps running without your best engineers
Apps that are done being built still need patching, on-call, and cost reviews. Give each one its own team of DevOps agents and move your engineers to new work.
Deploy on your terms.
Agents run where your infrastructure is: StratoNext hosted for speed, or private in your own cloud when governance, locality, and isolation matter.
Cloud instance
StratoNext hosted SaaS
Start with the shared control plane and run agents against your own environments through secure integrations.
- ✓ Up and running in minutes
- ✓ Background agents available 24/7
- ✓ Shared web console managed by StratoNext
- ✓ Remote agents for your cloud accounts
- ✓ Standard retention and platform updates
Private deployment
Self-hosted in your cloud
Run the full platform in AWS, GCP, Azure, or your private network with your own model, data, and access policies.
- ✓ Full platform deployment in your cloud
- ✓ Bring your own LLM endpoint
- ✓ Network-isolated execution inside your VPC
- ✓ On-prem and local agent support
- ✓ Custom retention and compliance rules
Hand your first ops task to an AI agent.
- Connect one environment.
- Define one policy.
- Give one agent scoped access.
- Run one real task.
Free tier. No credit card required.