NORYXLAB
Enterprise
NoryxLab is a Kubernetes-native data science and AI platform for enterprises and research teams. Give Python and R users self-service workspaces, jobs, applications and S3 datasets while keeping control of infrastructure, data and identity.
The same self-service platform can serve governed production environments and collaborative scientific computing without forcing either audience into a proprietary workflow.
Give data scientists and engineers the freedom to work while platform teams retain control over identity, resources, environments and deployment.
Provide reproducible, project-based computing for laboratories, engineering schools and research organizations without tying scientific work to a closed platform.
NoryxLab brings projects, compute, environments and data together in a focused control plane. Users stay productive; infrastructure remains explicit and operable.
Organize workspaces, jobs, apps, datasets and environments around the work — not around infrastructure primitives.
Launch curated Python and R environments directly on Kubernetes, with persistent storage and controlled resources.
Move from interactive exploration to repeatable jobs and deployed applications without switching platforms.
Use S3 as the data plane. Keep datasets outside the control plane and make them directly available to workloads.
Automate the same platform primitives exposed by the UI. Keep integrations explicit, inspectable and scriptable.
Add enterprise identity, access controls, quotas, auditability and image security without changing the core workflow.
NoryxLab does not require a vendor SaaS control plane. Deploy the platform inside infrastructure operated by your organization and keep compute, data, identity and software supply-chain choices under your control.
Run NoryxLab on Kubernetes you operate — on-premises, in a private cloud or in an environment selected by your organization.
Keep datasets in your own S3-compatible object storage. NoryxLab orchestrates access without imposing a proprietary data plane.
Keep authentication and organizational identity under your control through your OIDC infrastructure, including self-hosted Keycloak deployments.
Workspaces, jobs and applications remain standard Kubernetes workloads, with container images and registries operated inside your infrastructure.
Keep the same project, data and environment model from scientific exploration to repeatable production workloads.
Start from curated Python or R environments, add packages or a Dockerfile, and keep configuration close to the project.
environment: python-3.12
Launch interactive workspaces and scheduled or ad-hoc jobs directly as Kubernetes workloads with S3 datasets attached.
workspace → pod
Promote project code into an application deployment without introducing a second platform or a separate data plane.
app → deployment
NoryxLab deliberately keeps orchestration simple. The platform manages intent; Kubernetes does the compute.
Unlike proprietary enterprise platforms, NoryxLab has a public Community Edition codebase designed to be self-hosted and extended.
For research teams, technical organizations and contributors who want the complete core workflow on infrastructure they control.
For companies, institutions and research organizations that need governance, identity and operational controls around the same platform.