Back to Projects

RunOS

An AI-native operating system for enterprise and cross-border logistics governance.

OngoingRunOS

Overview

RunOS is not built as a chatbot layer. It addresses fragmented information, accountability, and evidence in enterprise workflows. Around cross-border logistics, it connects identity, workflow, document, gateway, agent, and portal modules so LLM capabilities can operate inside auditable business processes.

Highlights

  • Builds an integrated governance foundation across orders, documents, warehousing, transportation, and risk control.
  • Combines modules such as RunID, RunLoop, RunDoc, RunGateway, RunWorkers, RunAgents, and RunHome.
  • Uses dynamic ontology, context packs, and auditable workflows to connect LLMs with business operations.
  • Targets enterprise deployment with explicit permission boundaries, event streams, retrieval, and observability.

Motivation

Cross-border logistics involves customers, forwarders, warehouses, carriers, customs, finance, and risk control. Traditional systems often cover only isolated functions, leaving decisions in chats, spreadsheets, and personal experience rather than reusable organizational knowledge.

What We Built

The project builds a composable operating system: RunID manages identity and authorization facts, RunLoop manages workflow state, RunDoc manages documents and evidence, RunGateway controls model and tool access, RunAgents and RunWorkers execute tasks, and RunHome provides the user entry point.

Outcomes

The project has produced a running multi-module prototype and verified end-to-end flows across orders, documents, workflow, retrieval, and agent collaboration in logistics scenarios. It remains ongoing, with the next focus on production stability, governance, and business-metric validation.

Outputs