For CTOs, CIOs, Chief AI Officers, VPs of Engineering, AI architects, GCC engineering leadership and enterprise AI teams evaluating what it takes to run autonomous AI systems in production.
NC compiles to a single dependency-free binary. Run it on your own infrastructure — no vendor runtime, no forced cloud dependency.
Managed private-VPC deployment is not yet a packaged offering. Today, self-hosting the binary is how teams achieve the same isolation.
Splitting workloads between on-prem and cloud is achievable manually today; a first-class hybrid deployment mode is on the roadmap.
NC AI runs local models with no forced provider. NC's AI opcode is designed to be provider-independent rather than hard-wired to one vendor's API.
Local CPU inference means your data never has to leave your infrastructure to use NC AI.
Fine-grained role-based access control and audit trails for agent actions are planned as part of AgentOS — not yet shipped as a standalone enterprise control.
Policy compliance scoring and "production readiness" certification for deployed agents — see AI System Certification — is a research direction, not a shipped capability.
HiveANT and SwarmOps provide real operational observability and self-healing today for systems built on NC.
A formal checkpoint/reconcile/compensate guarantee for any agentic workflow is in design — see Recovery.
Tell us what you're building and what infrastructure it needs to run on.