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 →

Cloud and AI for Aerospace and Defense.
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.
Applications, data services, and AI inside a customer-approved boundary, layered over government cloud.
Your teams still need approved environments, controlled access, repeatable deployments, and ongoing operations. Liminaid brings that work into one platform.
Give developers a curated catalog instead of another infrastructure project. Provision reviewed configurations for applications, data, and AI.
Explore the Catalog →Apply customer-approved policies to deployments, access, and connections. Detect configuration drift and preserve evidence as workloads change.
See the Guardrails →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.
Align developers, platform engineering, security, and export compliance around the environment the workload actually needs.
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 →Approved catalog cards for application runtimes, databases, storage, and AI. Concept only, not a product screenshot.
Approved access and restricted outbound connections around a workload boundary.
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 →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 →Approved information sources → retrieval → approved model → governed output.
Illustrative timeline of changes, operational reviews, and supporting evidence.
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 →Give each team a clearer way to move approved workloads forward.
Build on approved services instead of waiting for a new environment design.
Reuse deployment patterns and controls across workloads and programs.
See configuration drift, access changes, and unapproved connections within the managed scope.
Give valuable use cases an approved path from source information to model execution.
Connect approved requirements to technical controls and supporting evidence.
Choose the balance of ownership and operations that fits the organization.
The same core catalog and guardrails, with a choice of infrastructure ownership and operational custody.
Liminaid provides the environment and operates the platform. Your team focuses on approved workloads.
Explore Managed Platform →Keep your cloud account, data, and final authority. Liminaid operates the platform within your environment.
Explore Managed BYOC →Deploy Liminaid in your environment and operate it with your own team, without standing Liminaid human administration.
Explore Private Edition →Understand the platform, ownership, and AI decisions behind your next workload.
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