01 / Token Production
HyperCube
Deployable AI capacity for private customer environments.
- Token capacity
- Private deployment
- Campus-ready
- Customer boundary
AI Production Infrastructure novocube / 2026
AI production, built to stay running.
Deployable capacity and a governed runtime for AI work that cannot stop at a demo.
Positioning
The production layer for enterprise AI.
Models answer. NovoCube keeps the work running, observable, and inside the customer boundary.
01 Deployment
HyperCube capacity
02 Runtime
AIR orchestration
03 Boundary
Customer-owned assets
Products
Capacity and runtime. One system.
HyperCube provides production capacity. AIR runs agents, tools, memory, policy, and observability.
02 / Agent Runtime
AIR
An agent runtime for memory, tools, policy, trace, and recovery.
- Memory
- Policy
- Tools
- Trace
- Evaluation
- Recovery
Architecture
A system that starts after the model.
AIR coordinates intelligent work. HyperCube supplies deployable capacity. Customer assets stay inside the boundary.
ModelsLLMs and multimodal models
AgentsPlans, tasks, and workflows
ToolsAPIs, apps, and business data
AIR AI Infrastructure Runtime
Memory, tools, permissions, trace, evaluation, and recovery.
HyperCubeProduction token capacity
DeploymentCloud, private, and edge environments
AssetsCustomer-owned intelligence state
Proof
The essentials of production.
Customer-owned intelligence
Memory, policy, traces, and workflow state stay attached to the customer.
Visible runtime
Teams can inspect cost, latency, approvals, quality, and exceptions.
Deployable capacity
Capacity, governance, and recovery become part of the deployment.
Scenarios
For work that must keep running.
NovoCube is built for enterprise AI workloads that need context, governance, traceability, and continuous operation.
Enterprise agents
Cross-tool task flows for business teams.
AI operations
Quality, cost, latency, and exception monitoring.
Industry platforms
Reusable runtime capabilities for vertical workflows.
Edge intelligence
Capacity deployed closer to business sites and data.
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