OrbitronAI has launched NovaOS, a platform designed to deploy and manage AI agents in regulated industries such as aerospace, energy, government and industrial enterprises, without requiring organisations to replace existing infrastructure.
The platform operates as a control layer on top of legacy enterprise systems. Rather than demanding migration to new architecture, it provides governance, auditability and human oversight for AI agent operations running against existing ERP, CRM and operational technology stacks.
NovaOS is built around a six-layer value stack in which every agent action passes through policy enforcement, approval gates and a complete audit trail. High-risk actions require human approval before execution, a design choice aimed squarely at regulated environments where autonomous AI decision-making remains legally and operationally problematic.
The bottleneck holding enterprises back from AI is not model quality. It is governance, isolation, and operational control. Regulated industries can now deploy AI agents that are fully auditable, human-supervised, and compliant by design.
Capabilities and deployment
Core capabilities include a visual workflow builder (NovaOS Studio) with pre-built components and natural-language copilot; enterprise integrations via Model Context Protocol (MCP) Gateway, enabling connection to ERP and CRM systems without custom code; and knowledge intelligence (RAG) that converts internal documents into actionable agent context.
The platform supports persistent cross-session memory, an agent marketplace for managing deployments across business units, and full observability with evidence export. Deployment options span managed cloud, bring-your-own-cloud (AWS, Azure, GCP), on-premise, air-gapped and hybrid configurations, with production regions currently active in the Middle East, Europe and North America.
NovaOS is model-agnostic, supporting whichever large language model an organisation chooses to run. SOC 2 and ISO 27001 compliance are among the platform’s target requirements, with Arabic NLP readiness on the roadmap for Q3 2026.
