Memory is scattered
Agents lose task state across sessions, systems, and handoffs unless memory is treated as runtime infrastructure.
Intelligence Runtime Infrastructure
Where intelligence runs.
NovoCube builds the runtime layer for AI systems that need memory, orchestration, policy, observability, and persistent execution beyond a single model call.
Input AI-native systems
Agents, workflows, model services, business tools, and live context.
Runtime AIR
Memory, orchestration, permissions, observability, and operations.
Unit HyperNode
Runtime units optimized for long-running intelligent workloads.
Problem
AI projects do not fail only at the model layer.
The harder part starts after a model responds: keeping context alive, coordinating tools, enforcing permissions, tracing decisions, and recovering work when long-running tasks change state.
Actions need boundaries
Tool calls, approvals, and sensitive operations need one policy layer instead of custom checks in every workflow.
Production needs observability
Teams need to inspect cost, latency, quality, exceptions, and traces while intelligent work is still running.
Products
A runtime stack for AI-native systems.
The product architecture is intentionally simple: AIR provides the software runtime layer, while HyperNode extends the runtime to persistent intelligent workload units.
AIR
AI Infrastructure Runtime for agents, memory, orchestration, permissions, observability, and operations.
Open console demoHyperNode
A new generation computing building block for intelligence that needs to stay online and close to business context.
Read business planArchitecture
A clear runtime layer between models and business systems.
AIR is the software runtime. HyperNode is the persistent runtime unit. Together they give AI-native systems a place to run, resume, govern, and be observed.
Models LLMs and multimodal models
Agents Tasks, plans, and workflows
Tools APIs, apps, and business data
AIR AI Infrastructure Runtime
Memory, orchestration, permissions, trace, evaluation, exception handling, and runtime operations.
Runtime Unit HyperNode
Deployment Cloud, private, and edge environments
Users Teams, operators, and business systems
Scenarios
Built for intelligence that cannot stop at one call.
NovoCube targets workflows where context, governance, traceability, and continuous operation matter as much as model quality.
Enterprise agents
Cross-tool task flows for sales, operations, support, and engineering teams.
AI operations
Continuous monitoring for quality, cost, latency, policy, and exception states.
Industry platforms
Reusable runtime capabilities for vertical applications and specialized workflows.
Edge intelligence
Runtime units deployed closer to business sites, systems, and real-time data.
Company