AI operations for engineering teams

Ship more.
We’ve got your ops.

Hyphen Agent keeps your apps and workloads healthy and optimized. On any cloud or cluster, including the ones you run now.

Connect your infrastructure. Keep control of what changes.

The Hyphen dashboard, showing deployments and agent activity
Supported platformsAWSAzureGoogle Cloud
The new reality for engineering teams

Everyone can build now. But someone still has to operate it all.

Four new services shipped this week. An internal, vibe-coded tool is serving real traffic. Each needs infrastructure, monitoring, scaling... and accountability at 2am when something goes wrong.

Hyphen gives every workload an operations agent, so your ability to run stays in lockstep with the pace you’re building.

See how Hyphen handles it
Environments deployed41 this month
Aug 02Aug 16Aug 30
12:50:26preview-env-aws deployedproduction
10:51:16checkout-api deployedproduction
12:46:57atlas-azure-test deployeddevelopment
agent: optimize checkout-api-production · complete
The Hyphen way

Freedom to ship. Operations handled.

Zero-config, repo to running

Hyphen analyzes your repository and builds a deployable container automatically. Skip YAML, Docker, and endless CI/CD scripts. Deploy translates that into production-ready infrastructure on any cloud.

Requirements, not runbooks

Define uptime, customer locations, expected load, and which cloud to deploy to. Agent handles infrastructure, networking, and DNS.

Optimizations proposed, approved by you

Agent identifies issues, explains them in plain language, and suggests fixes within the policies you define. You decide whether to implement them.

Any cloud, on your terms

Your own AWS, Azure, or Google Cloud accounts. Existing Kubernetes clusters wherever they already run.

The platform

From first deploy to everyday operations.

Multi-cloud DNS & load balancingconfigured
providertypevalue
awsA (Alias)elb-prod-1234.us-east-1
gcpA35.186.221.10
cfTXT"v=spf1 include:ama…"

Run on three clouds. Learn none of them.

Define your requirements once and Deploy handles the provider differences, including DNS, SSL, traffic routing, and object storage on each one.

Availability
99%99.9%99.99%99.999%
Scale
SMMDLGXL
Traffic Region
North AmericaAsia Pacific

Describe what you need, not how to build it.

Pick your traffic region, scale, and SLO targets. Deploy turns that into production infrastructure without YAML, Dockerfiles, or CI/CD scripts.

Deployment Previews
nameurlstatus
pr-1pr-1-dev.myapp.comactive
pr-2pr-2-dev.myapp.comdeploying
pr-3pr-3-dev.myapp.comactive

Every pull request gets a real environment.

Isolated previews inherit your production configuration and tear themselves down completely when the PR closes.

Cloud Resources−$160/mo saved
Retention Period24 hrs
ec2-idle-prod-1AWS$142/mo✓ removed
preview · pr-14expired✓ torn down

Nobody has to remember to clean up.

Idle resources, orphaned containers, and expired previews get found and removed on your policy instead of on someone's todo list.

app-x / prodOptimized
CPU48%
MEM44%
RPS410

Your infrastructure right-sizes itself.

Agent watches deployment and runtime signals, simulates the change, and proposes right-sizing, consolidation, or shutdown while holding your availability targets.

4 stale flags found✓ Ready to merge
agent/remove-stale-flags → main  −4 2 files
- const SHOW_LEGACY_FLOW = true;
- if (flags.get('legacy_flow')) {

From error spike to open pull request.

Agent analyzes your logs, ranks findings by severity, files the matching issue, and opens a fix for your team to review.

Bring your own infrastructure

You don’t have to start over. Point Agent at what you already run.

Connect clusters already running on public cloud, private cloud, on-premises infrastructure, or bare metal. Agent inventories the fleet and works with the workloads already in it, whether Argo CD, your own CI, or a hand-rolled pipeline put them there. Nothing gets redeployed.

Agent observes, diagnoses, and optimizes what is already running. Connect an AWS, Azure, or Google Cloud account you already own and it works with the infrastructure in it today, including right-sizing, cleanup, and investigation. Nothing moves to someone else's cloud.

Use Deploy to ship applications inside your own cloud accounts. Adopt it for one application, for all of them, or for none. The policies and approvals stay the same either way.

Agent connects read-only, builds a current picture, and asks before it changes anything. The same policies and approvals apply wherever the workload runs.

Explore Kubernetes management
Agent Inbox◯ 3h 7m 2sNeeds inputKubernetes cleanup review: platform-prod-2Kubernetes resource cleanupKubernetes Cleanup Scanplatform-prod-211workloads5pods6services4config mapsCollected 2026-09-01 12:13 PM · Threshold 14 days1 of 9Resourcelocation-app-6558c9d848 ReplicaSetin location-test namespaceCategoryScaled To Zero WorkloadConfidenceHighReasonReplicaSet has been scaled to zero longer than the thresholdEvidence• replicas=0• createdAt=2026-07-28T18:10:14.000ZClean upDo nothingAlways ignore
Solutions

Solutions for every workload and operating requirement.

Get started.
Refine as you grow.

Connect a GitHub repo, deploy from the CLI, or point Agent at what you already run. Your operations agent keeps everything tuned from there.

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