Data residency and internal control
Keep engineering telemetry, workflow data, and quality signals inside the infrastructure boundary your organization already governs.
Oobeya On-Premise
Engineering visibility for high-control environments
Oobeya’s on-premise deployment is a strategic advantage for organizations that cannot compromise on governance, data residency, or infrastructure control. That is why it is a strong fit for finance, banking, insurance, public sector, and defense teams.
AI LLM chat, kept local
For Oobeya AI LLM Chat, organizations can keep the model layer fully on-premise as well, using a local LLM model so engineering context stays inside the same controlled environment.
Built for banks, insurers, public sector, and defense
Deploy where your governance model requires
Keep engineering visibility without moving sensitive data out
Run Oobeya AI Chat with a fully local on-premise LLM model
Run Oobeya close to your existing toolchain
Deployment modes
Container-first, enterprise-ready
private control
DockerPodmanKubernetesHelmAKSEKSOpenShift
The Oobeya advantage
Why on-premise is a competitive differentiator
Many engineering intelligence tools assume cloud-only deployment. Oobeya gives organizations another path: modern delivery visibility without forcing a compromise on infrastructure control.
Local AI chat with local models
Run Oobeya AI LLM Chat with a fully on-premise local model so prompts, context, and responses stay inside the same controlled environment.
Security and compliance alignment
Support environments that have tighter network policies, private access requirements, or restricted cloud usage expectations.
Closer fit for regulated sectors
A strong advantage for banking, insurance, public institutions, defense, and other organizations with stricter deployment standards.
Setup options
Deploy Oobeya in the way your platform team already operates
Oobeya supports container-first and Kubernetes-native deployment models, including environments where Oobeya AI LLM Chat also runs against a local on-premise model.
Deployment path
Docker / Podman
A strong fit for VM-based or container host setups where teams want a direct, controllable installation model.
Deployment path
Kubernetes
Deploy Oobeya into your cluster with persistent volumes, ingress configuration, and namespace-level isolation.
Deployment path
Helm
Use Helm-centered operational workflows where your platform team standardizes packaging, upgrades, and environment management that way.
Deployment path
AKS / EKS / OpenShift
Run Oobeya in enterprise Kubernetes environments commonly used by platform teams in cloud or hybrid-control architectures.
Azure-ready procurement
Purchase from Microsoft Marketplace
Run on your private Azure Cloud.
For organizations standardizing on Azure, Oobeya can fit both sides of the decision: procurement through Microsoft Marketplace and deployment inside a private Azure-controlled environment.
Commercial path
Buy through Microsoft Marketplace
Align purchasing with the Microsoft ecosystem many enterprise platform and procurement teams already use.
Deployment path
Keep runtime inside your Azure boundary
Operate Oobeya in a private Azure cloud model while maintaining the infrastructure control your teams require.
Best-fit sectors
A preferred deployment model for regulated organizations
On-premise is not a niche checkbox here. It is a real adoption advantage when infrastructure standards, data handling, or security constraints shape how engineering platforms must be introduced.
Finance & banking
For organizations that need stronger control over engineering data, internal access boundaries, and deployment governance.
Insurance
A better fit where auditability, system ownership, and infrastructure policy matter across software delivery operations.
Public sector
Helps modernize engineering visibility while respecting public infrastructure, residency, and procurement realities.
Defense
Supports environments where cloud assumptions are not acceptable and infrastructure control remains non-negotiable.
Trusted by engineering teams
Teams use Oobeya when they need clarity beyond dashboards
Delivery, quality, workflow, and AI-assisted change become easier to act on when the operating picture is shared.
Ready to discuss deployment?
Talk through your on-premise environment with Oobeya
Share your infrastructure model, compliance expectations, and deployment questions. We will help you evaluate the cleanest path for your organization.
