Get early access
THE EUROPEAN PAAS FOR APPS AND AI

Deploy your apps.
Run your AI.
One platform.

Deploy applications, run AI agents, and serve models on a European PaaS. Bring compute, databases, storage, and observability together—with less infrastructure to manage.

Become a founding partner Explore the platform ↗
Private preview · Welcoming founding partners
Explore NuPaas
THE INFRASTRUCTURE BEHIND YOUR APPLICATION

More building.
Less infrastructure to manage.

From an agent loop to the API and database behind it, bring the stack together on NuPaas.

COMPUTE

CPU for your apps. GPU for your AI.

Compute for web services, agent workloads, and model inference. Matched to what you run.

EUROPE FIRST

Build on European infrastructure.

Bring your apps and data to European infrastructure. Choose a setup around where they need to live.

YOUR STACK

Bring the code you already write.

Git repository or container image. Keep your stack, and bring the deployment workflow together.

GPU capacity and availability confirmed during private-preview onboarding.

MEET AI HARNESS

Run your agents.
Keep the loop in view.

Deploy the harness that coordinates your AI agents. Start repository-based runs, connect model inference, and follow task progress, token usage, and reported outcomes.

Explore AI Harness In private preview, with onboarding support.
HOW AI HARNESS HANDLES AGENTS

Give your AI agents
a place to run.

An agent needs more than a model call. AI Harness coordinates the execution loop. NuPaas brings deployment, model access, and operational visibility around it.

THE STARTING POINTYour repositoryTarget repo + ref
AI HARNESS / AGENT LOOP
MakerWork on the task
CheckerCheck the work
Model requests via NuPaas inference
IN VIEWRun progressTasks · Usage · Outcomes

Conceptual workflow · Available workflows and model integrations are confirmed during private-preview onboarding.

01 Agent orchestration

Run the loop, not just the prompt.

Start a repository-based agent run. The harness coordinates maker and checker work; NuPaas gives you a place to deploy it and follow its operation.

02 Model routing

Connect agents to inference.

Maker and checker requests go through the NuPaas inference gateway, using your organisation’s credentials and configured model access.

03 Token budgets & run control

Keep a handle on execution.

Configure a token budget, inspect reported usage, and cancel a run. Organisation inference quotas are checked before a run starts.

04 Agent observability

See progress and outcomes.

Follow run state, iterations, and task progress. Inspect reported results and halt reasons alongside the harness’s health and configuration.

Harness ≠ model gateway. The harness runs the agent workflow. The inference gateway routes its model requests. Together, they connect execution with model access.

Explore AI inference ↗
THE PLATFORM

Your application.
Its entire stack.

Deploy your app. Connect data, identity, and AI. See how it all runs together.

01

AI Harness

Run agent workflows. Follow the work from task to outcome.

Explore ai harness 02

Application hosting

Your code, built and deployed. Releases you can follow.

Explore application hosting 03

AI inference

One gateway between your application and its models.

Explore ai inference 04

Managed Postgres

Persistent data, connected to your application.

Explore managed postgres 05

Object storage

A home for uploads, datasets, and model assets.

Explore object storage 06

Authentication

Let users in. Keep their access in view.

Explore authentication 07

Observability

Follow the request. Find where things slow down.

Explore observability
FROM WEB APPS TO INFERENCE

From your code.
To your next release.

Keep the languages and frameworks you work with. Bring a Git repository or a container image; manage builds, configuration, and releases in one place.

Explore application hosting ↗
YOUR CODE → YOUR RUNNING SERVICE Illustrative workflow
THE RELEASE WORKFLOW
01CommitYour repository
02BuildContainer image + build logs
03DeployReadiness checks + traffic switch

Illustrative workflow

SHIP TOGETHER

Push the change.
Follow it into service.

See build output, inspect deployment history, and return to an earlier release when you need to. Keep the release and the tools to investigate it together.

Explore logs and traces ↗
BUILT FOR YOUR NEXT AI WORKLOAD

From agent loop
to running workload.

Run agents, connect models, and bring the compute and data around them together in NuPaas.

Observed in NuPaas.Our own logs, traces, metrics, and service maps—alongside the workloads you run.

Explore workloads in private preview. GPU capacity and model availability confirmed during onboarding.

BEYOND THE FIRST DEPLOY

The tools to keep it running.

Deployment, data, and visibility belong in the same workflow.

An endpoint for your application.

Expose your service over HTTPS, with HTTP/2 and gRPC for application traffic. Connect your domain and manage it alongside the deployment.

Explore hosting ↗

Scale with the workload.

Adapt application capacity as demand changes. Work through the scaling configuration your service needs during onboarding.

Explore hosting ↗

Release with health checks.

Build a new version, check readiness, and switch traffic. Keep deployment history and rollback controls within reach.

Explore hosting ↗

Postgres for application data

Connect your database to your services and manage connection details from your project.

Storage for files and datasets

Use S3-compatible buckets and scoped access keys for application files, datasets, and model assets.

Live logs, traces, and metrics

Follow application activity, investigate requests, and understand how services connect.

Git builds and container deployments

Start with source code or a container image. Follow build logs and versioned releases.

Identity for your application

Add sign-in and manage your application’s users and sessions from NuPaas.

EUROPEAN INFRASTRUCTURE. PRACTICAL CONTROL.

Your next build.
A European foundation.

Run your agents and application services with a platform built around European infrastructure. Bring your location, access, and workload requirements to the conversation.

Talk about your infrastructure ↗
01 / LOCATION

Make data location a deliberate choice.

Discuss where your application, data, and model requests run—including the providers involved in inference.

02 / COST

Spend on your workload, not cloud complexity.

Explore a lower-cost alternative to hyperscaler infrastructure. Bring your current setup and we’ll compare a suitable European deployment.

Savings depend on workload, provider, and configuration. GPU pricing is not yet published.
03 / OPERATIONS

Less infrastructure work on Hetzner.

Bring deployment, data services, and observability together, reducing the tools and configuration you manage separately.

EARLY ACCESS. REAL COLLABORATION.

Help shape the platform
you want to build on.

NuPaas is prelaunch. We’re looking for founding partners who want to explore the platform with us and help shape what comes next.

What does private preview mean?

The platform is under active development. We’ll work through your use case together and confirm which workflows are ready for you to try.

Who is it for?

Startup and SaaS teams looking to bring application hosting and supporting services together, especially teams with European hosting requirements.

Can I bring my existing infrastructure?

Cloud connectors and customer-owned server support are in development. Tell us about your setup so we can discuss what’s possible in the preview.

What will it cost?

We’ll discuss preview access and founding-partner terms directly. Public pricing will follow as the launch offer takes shape.

FOUNDING PARTNER PROGRAM

Build something real.
Help shape what’s next.

We’re opening the conversation with our first 10 founding partners. We’re looking for teams with a real workload, a clear use case, and time to share feedback. Tell us a little about yours.

  • Early access with onboarding support
  • A direct conversation with the builders
  • Your use case helps shape the platform

We review each application and follow up to discuss fit.