Production cloud on autopilot
Backend, databases and scheduled jobs, deployed and operated by agents
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42cache.set(`${id}:${Date.now()}`, report);Trusted by 20,000+ developers and companies like
Your whole backend in one place
Persistent backend
Your backend runs as always-on processes, with background workers and scheduled jobs alongside it. Modelence builds, deploys and restarts them, and knows when a job stops running.
Databases
Managed databases, provisioned when your app declares them and wired in automatically. Backups, connection URLs and failover are handled.
Monitoring
Full observability out of the box - logs, traces and performance metrics, proactively monitored.
Autopilot
Modelence operates your app 24/7. Crashed processes are restarted, traffic is rerouted and capacity is added under load, then you get the report.
Production that runs itself
Modelence runs your backend, databases and scheduled jobs and keeps watching them 24/7. When a server stops responding, a job stops running or a database fills up, it handles the fix at the platform level: restarting, rerouting traffic, scaling up.
Learn moreEvery process and job watched
Logs, metrics and job runs are collected from the start, so nothing has to be wired up before problems can be noticed.
Traced to your code
Memory leaks and slow queries are traced to where they start in your code, and the findings go to you to fix.
Deploy without the setup
Your app, databases and secrets are declared in one config file, which your coding agent can write for you. The first deploy creates everything in it and passes the connection strings to your app, so nothing has to be set up by hand.
Learn moreSandbox and production environments
Every app gets both, so you can try changes on real infrastructure before they reach users.
Verified before it goes live
Each deploy is verified against what your app needs to start, and stops before it can break the running version.
Enterprise-ready AWS infrastructure
Everything runs on AWS, the infrastructure your larger customers already trust, with failover, backups and encryption set up from the first deploy. When you get a security review, the answers are already there.
17 regions worldwide
Production runs in the AWS region you choose, including the US, Canada and Europe, close to your users and where their data has to stay.
Failover and uptime
When an instance or database node fails, traffic moves to a healthy one, with a 99.9% uptime target and a public status page.
Automatic backups
Production databases are backed up automatically and encrypted, with snapshots kept on a rolling schedule.
Security and compliance
Data is encrypted at rest and in transit, and stored in the region you choose.
Running in production
What founders and startup teams say about using Modelence.
I picked Modelence to build Heolenn - an ESG reporting platform for EU SMEs. 5 months in, the codebase is ~150k lines across ~170 modules, and Modelence has scaled with everything I've thrown at it. As a solo founder, that's the difference between shipping and not shipping.
Patrice Marrec
Founder, Heolenn
Everyone can create a first demo now, but very few tools help you turn that demo into a real product that keeps running. At Seedradar Ventures, we run our internal platform on Modelence in production, and we keep coming back to it for new tools we build, from our investor portal to LP dashboards and internal workflows.
Hector Hulian
Founder, Seedradar Ventures
Starvik was built entirely with Modelence from database architecture to deployment. No traditional development team. No months of coding. What took years of business development experience to learn took days to build.
Ashot Barseghyan
Founder, Starvik
What impressed me the most was the level of support - when I encountered a blocker just before a client demo, one of the founders took the time to jump on a call with me on a Saturday. That kind of commitment is rare and speaks volumes about the Modelence team.
Urbain Ousmane Badiane
Founder, FormaImpact
Frequently asked questions
How does Modelence fit with Vercel and Supabase?
Many teams start with frontend on Vercel and database on Supabase, but ultimately need a full backend as they scale. Vercel functions and Supabase edge functions can't hold a persistent process, so anything long-running like agents or websockets needs a separate backend, background jobs, and additional databases or caches. Modelence provides all of these and runs your infrastructure in one place.
How is Modelence different from Railway or Render?
Platforms like Railway and Render give you a place to deploy services and databases, and from there the operating is on you: you set up the alerts, you notice when a cron job stops firing or act when a process crashes. Modelence takes over that part. It watches your processes and requests, detects when something goes wrong, and acts as your SRE, on-call 24/7, who takes action to keep your app running instead of delegating it to you.
Does Modelence scale for production apps?
Modelence handles all aspects that make your app enterprise-grade: automatic backups, failover, auto-scaling and monitoring. When something goes wrong while you're away, Modelence acts as your first responder instead of just letting you know and waiting.
Can I migrate to my own infrastructure?
Yes, Modelence entirely runs using standard AWS primitives and nothing proprietary, so if you decide to hire your own DevOps team or manually operate your app yourself, you are free to replicate your Modelence setup into your own AWS account.
Can I move an app I built on Lovable or Replit to Modelence?
Yes, when projects created with app builders become more complex, many users choose to move them to a separate production-grade cloud like Modelence. Export your code, then either connect it from the Modelence dashboard or paste the setup prompt into your coding agent, which will read your project and deploy it. You get a production environment with a real database, backups and monitoring, and you keep working on the code with your own coding agent.
Is Modelence free to use?
You can deploy hobby projects and prototypes for free. Paid plans give you additional resources, monitoring, higher usage limits, and priority support.
Put your production on autopilot
Let the platform take care of your deployment rather than being paged for it.
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