Just your code and the machine that runs it.
Cloud computing is overengineered. Layers of containers, orchestrators and pipelines between your app and the hardware. None of it is your product, all of it is yours to maintain. LILY starts over. Your app scales on its own, stays up on its own, and runs on a fraction of the compute.
We're built different.
Docker, Kubernetes, VMs. These are tools that manage infrastructure. LILY replaces it.
We operate below the container layer, directly above bare metal. At the level of executable instructions. There is no orchestrator, no scheduler, no cluster to run.
That's why every comparison chart misses the point. We don't slot into the old stack. We remove it.
No cluster to run. No cluster to pay for.
Easier to ship.
Scaling, parallelization, and the heavy lifting that normally demands a complex cloud like AWS or GCP, as effortless as going serverless. However complex your app, shipping it feels simple.
Safer by default.
No VMs, no containers. Your code runs as WebAssembly in an isolated runtime, treated like a batch job, with only host functions emulated. C, C++ and Rust compile to it in full today. A minimal surface with almost nothing to attack.
Simpler to run.
Scaling, monitoring, and fallbacks run themselves. The hard parts of the cloud are autonomous, so most things just work, out of the box, with nothing to configure.
Visible from day one.
Extract and surface data natively from your running code, a first. Because we can split systems apart and reassemble them, every piece of data stays visible in real time.
LILY removesIaCOrchestrationDeploymentCI/CDContainerCloudfor you.
Monitoring, cloud architecture, load balancing, on-call rotations. All behind you. From 0 to 100 million users, we just stay. No cluster to grow, no config to touch, no team to page.
But what does any of this get you?
Nothing between your code and the machine.
Isolation + scaling per part.
Every unit runs in its own context: own memory, own state, no shared dependencies. We don't scale applications, only the parts under load. If only your checkout is being hit, only your checkout scales.
Nothing idles.
Only the entry points stay hot in memory. The rest of your program waits in storage until something calls it.
Recovery.
A failed unit is restored from its last snapshot, full state included, and continues where it left off. The same flow runs on a second machine in sync. If one goes down, the other takes over.
Observation.
Read live values out of a running system without touching it. No instrumentation, no redeployment.
Ship deltas, not deployments. Migrate only the units that changed, into a running system.
Start small, scale to global traffic, and stay protected without managing infrastructure manually.
Platform that scales with you. Control, routing, and traffic handling are designed for multi-region from day one.
Read the docsMulti-region routing
Route requests to the nearest region for consistently low latency.
Automatic scaling
Capacity follows demand, with no knobs to babysit and no manual ops.
Predictable pricing
Start free, then scale up when you're ready and keep billing predictable as you grow.
Monitoring
Application tailored monitoring without invasion. Watch every metric without modifying your code in production.
Step into the world after the cloud.
Start for free, integrate in minutes, and scale when you need to.
What is coming after the cloud
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Amtsgericht Ludwigshafen am Rhein, HRB 70791
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