AI That Stays Within the Perimeter

Run observable agentic workflows in air-gapped, hybrid, and edge environments. Mission-speed AI velocity, complete operational control, no compromise.

Every actor governed

Every actor governed

Every human and non-human actor known, authenticated, and traceable. Federated identity management extends to agents so no autonomous action goes unmonitored or ungoverned.

Controlled agentic operations

Controlled agentic operations

Define what agents can access and how much they can consume, and set hard limits on autonomous behavior with fully traceable activity history and token consumption.

Full access, zero exposure

Full access, zero exposure

Give teams a walled garden over sensitive datasets: a governed sandbox where they build, test, and harden fully-connected AI apps and agents, shipping them mission-ready from day one.

Complete audit trails

Complete audit trails

Every model iteration, dataset version, deployment decision, and agent action tracked automatically. Full provenance, no gaps, no manual
effort.

Sovereign by design

Sovereign by design

AI infrastructure that stays inside your security boundary. Your data, models, and compute are never exposed to external systems or commercial
cloud providers.

Air-gapped, hybrid, edge

Air-gapped, hybrid, edge

One platform across every environment and program. Full capability in disconnected
networks, hybrid cloud, and tactical edge, with no separate tools for each.

One control plane. Every environment.

The Klique Orchestration Engine pools AI workloads across air-gapped networks, hybrid cloud, and tactical edge into a single control plane: no separate tools, no fragmented oversight. Human teams and autonomous agents operate under one governance framework, with activity tracked and reported at the program level.

Deploy anywhere. Expose nothing.

Klique deploys without exposing sensitive data to external systems. The Governance Engine applies authenticated, role-based access to every resource (compute, storage, models, and deployment endpoints) and extends federated identity to every agent in the environment. Developers build and iterate inside the walled garden using approved tools, including AI coding tools like Claude Code and Codex, with token consumption attributed to the project that generated it.

Built for environments where success is
mission critical.

Fine-tune on sensitive data

Fine-tune on sensitive data

Train and fine-tune models on classified and controlled datasets without compromising security. Your data stays inside the walled garden from ingest to deployment.

FinOps for AI workloads

FinOps for AI workloads

The AI Engine tracks, attributes, and controls token consumption and compute spend across every team, model, and workload. Throttle access and reroute models on the backend to keep costs in check.

Secure multi-tenancy

Secure multi-tenancy

Isolate programs and clearance levels on shared infrastructure with per-tenant networks, storage, identity, and usage reporting. Maximum utilization without operational or security risk.

Build on the infrastructure
you already own.

Klique’s secure multi-tenancy isolates programs, units, and clearance levels on shared infrastructure with per-tenant networks, storage, authentication, and RBAC. Teams develop and deploy AI capabilities simultaneously without separate deployments. Future-ready architecture gives IT full control over scaling without vendor lock-in.

Every decision. Every action.
All on record.

Operational accountability isn’t optional in defense. The Governance Engine records every model iteration, dataset version, deployment decision, and agent action with complete provenance, no manual logging. Program administrators get full visibility into compute, agentic activity, and token spend across every unit. When an inspector general or commander asks what happened, the record is already there. No gaps. No exceptions.

Klique is trusted by defense
agencies, military branches, and
prime contractors worldwide.

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