01
Understand the app
Reads your source and maps its services, dependencies, and runtime needs.
Deploy Apps Effortlessly
With the Infrastry Autonomous Cloud
Infrastry reads your code to understand the application, then prepares everything it needs to run, deploys it, monitors it, and fixes problems as they arise.
02
Take it live
Builds the release, prepares managed infrastructure, and verifies the app.
03
Keep it healthy
Monitors production, diagnoses failures, and repairs or redeploys when needed.
Your stack · Your repository · No platform-specific SDK
Product Demo
From repository to a running app.
Your code expands into everything it needs.
Infrastry understands the application, builds a production-ready system around it, and keeps every part connected after launch.
Git repository
my-app
The application code you already have, without a platform-specific SDK.
lib/
my_app/
application.ex
repo.ex
Postgres
cache.ex
Redis
my_app_web/
config/
runtime.exs
mix.exs
Fully managed by Infrastry
Every resource below is provisioned, secured, monitored, updated, and maintained for you.
Hosted application
my-app-my-team.infrastryapp.com
Load Balancer
TLS, traffic routing, and health-aware failover
App Server 01
App Server 02
Managed PostgreSQL
Private, persistent, and connected to both servers
Managed Redis
Private caching for sessions and fast data access
Infrastry is in early access.
Repository analysis, deployment, and live URLs work today. We're expanding the types of projects Infrastry can run and improving how it recovers from failures.
Try it with a real project and tell us what breaks, feels unclear, or needs more control.
Completed
Connect a repository, let Infrastry prepare and deploy it, and follow the result to a live URL.
In progress
Broader project support, clearer recovery, and fewer rough edges between your code and production.
We need your voice
Tell us what worked, what got in your way, and what would make Infrastry earn a permanent place in your workflow.
You pay for AI work and infrastructure usage.
01 / usage
AI agent usage
The AI work used to understand your repository, prepare deployments, and help operate your application. It is measured from the work performed for your project.
02 / usage
Infrastructure usage
The compute, databases, storage, and related resources that keep your application running. Always-on resources are measured over the time you use them.
Some examples:
Example 01
Static web page
AI usage
About $1 per month
Infrastructure
About $3 per month
Average total: about $4 per month
Example 02
Small web app
AI usage
About $1 per month
Infrastructure
About $7 per month
Average total: about $8 per month
Example 03
Web app + database
AI usage
About $1 per month
Infrastructure
About $17 per month
Average total: about $18 per month
These are average monthly estimates for starter resources and a modest amount of AI work. Project complexity, traffic, storage, scaling, and additional services can increase actual usage.