AI-native infrastructure tech startup Aidnoth said on Tuesday it had launched NOS (AI Native Intelligence Foundation), an enterprise-grade Meta-Agent operating system.

The company said Aidnoth NOS operates as an “Agent Mega Factory” solution and runs on 6 core modules:

PromptAid, which normalises developer requirements and natural-language drafts into a standard data schema called Requirement Structure, reduces rework caused by requirement mismatches by more than 30%.

CouplerAid, a legacy integration gateway, forms an RBAC and OAuth-based security bridge when linking internal core networks (ERP, CRM, DB) and external APIs. It ensures session token synchronisation and infrastructure coupling without data leakage.

ForgeAid, an intelligence production and CI/CD engine, combines AI-generated source code and manifests with ITIL processes. It automatically deploys to the production network via CI/CD only outputs that pass a Quality Gate and receive final approval from an administrator.

CloudAid and HostedOn, an infrastructure orchestration module, manages application and agent runtime infrastructure as code (IaC). It provides an on-premises isolated deployment package (HostedOn) that blocks external networks and meets national K-ICS network separation regulations.

IntelligenceAid, a centralised asset repository, turns company-wide development source code and agents into a central registry as the company’s proprietary knowledge assets, or Corporate DNA. It blocks duplicate development of 30% to 45% and runs a continuous retraining feedback loop based on execution logs.

MarketAid, a metering and value settlement module, meters API call traffic and infrastructure consumption in real time. It automatically controls department-level quotas and executes in-house knowledge asset trading and settlement of credits (AID).

In private beta PoC results, the company stressed that after introducing NOS it recorded quantitative gains of a 20% improvement in overall company-wide development productivity, a 40% reduction in deployment lead time, a 30% drop in rework of AI-generated code and an 80% decrease in the time needed to prepare for IT compliance and audits.

Aidnoth Chief Executive Jang Gi-hoon (장기훈) said, “AI’s fundamental problem is not the technology itself. Enterprises invest not in the ability to make more, but in the ability to trust what is made and operate it continuously. An increase in uncontrollable productivity immediately causes organisational bottlenecks.” He added, “This NOS launch will be an important milestone across the AI ecosystem, transforming fragmented, personal-tool-level AI coding into a standardised enterprise-level ‘knowledge asset automation factory.’”