Cloud and AI for Aerospace and Defense.

Cloud and AI. Within your control.

Liminaid turns AWS GovCloud and Azure Government into a self-service platform for unclassified, export-controlled workloads. Deploy applications, data services, and AI with approved access, data movement, and operating controls built into the environment.

Government cloud is the foundation. Liminaid is the operating platform.

Your teams still need approved environments, controlled access, repeatable deployments, and ongoing operations. Liminaid brings that work into one platform.

Start from approved patterns.

Give developers a curated catalog instead of another infrastructure project. Provision reviewed configurations for applications, data, and AI.

Explore the Catalog →

Keep controls active.

Apply customer-approved policies to deployments, access, and connections. Detect configuration drift and preserve evidence as workloads change.

See the Guardrails →

Choose who operates it.

Use a Liminaid-managed environment, keep your own cloud account, or operate the platform with your own team.

Compare Platforms →

Stop rebuilding the operating foundation for every program.

A repeatable path from approved workload to ongoing operations.

Align developers, platform engineering, security, and export compliance around the environment the workload actually needs.

Approved ServicesControlled AccessGoverned AIContinuous Evidence

Give developers a platform, not a cloud console.

Request application runtimes, containers, databases, storage, and supporting services through a versioned catalog. Start with reviewed configurations rather than assemble every control from scratch.

Explore Platform Services →

Put approved boundaries into operation.

Translate customer-defined requirements into controls across identity, deployment, networking, and service access. Block disallowed actions where technically possible and surface changes that require review.

Explore Boundary Controls →

Make AI part of the controlled environment.

Connect approved information sources, retrieval components, model endpoints, and tools through governed deployment patterns. Include prompts, outputs, and logs in the operating design.

Explore AI Governance →

Maintain the platform as it changes.

Monitor configuration, access, deployments, and control operation over time. Add managed maintenance and operational support, or retain those responsibilities with your own authorized team.

Choose an Operating Model →

Less repeated work. More control where it matters.

Give each team a clearer way to move approved workloads forward.

For developers

Build on approved services instead of waiting for a new environment design.

For platform teams

Reuse deployment patterns and controls across workloads and programs.

For security teams

See configuration drift, access changes, and unapproved connections within the managed scope.

For AI leaders

Give valuable use cases an approved path from source information to model execution.

For export compliance

Connect approved requirements to technical controls and supporting evidence.

For enterprise leaders

Choose the balance of ownership and operations that fits the organization.

One platform. Three ways to operate.

The same core catalog and guardrails, with a choice of infrastructure ownership and operational custody.

01

Managed Platform

Liminaid provides the environment and operates the platform. Your team focuses on approved workloads.

Explore Managed Platform →
02

Managed BYOC

Keep your cloud account, data, and final authority. Liminaid operates the platform within your environment.

Explore Managed BYOC →
03

Private Edition

Deploy Liminaid in your environment and operate it with your own team, without standing Liminaid human administration.

Explore Private Edition →

Explore the Industries We Serve →

Practical guidance for controlled cloud and AI.

Understand the platform, ownership, and AI decisions behind your next workload.

Explore Platforms to learn about the Liminaid operating models.

Bring your next workload into a controlled environment.

Let's discuss the application or AI use case you need to run, the controls it requires, and the ownership model that fits your organization.

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