ContextOS

ContextOS closes the $100B Invisible Workflow Gap by transforming undocumented enterprise operations into governed, AI-executable workflows. Today, critical enterprise processes are trapped inside PDFs, SOP documents, tribal knowledge, disconnected systems, and manual approvals. While companies are rapidly adopting AI agents and automation, most workflows still lack visibility, governance, and operational context. This creates major risks including compliance failures, unauthorized actions, hallucinated automation behavior, and fragmented decision making. Users can upload PDFs, images, or text-based SOPs into the platform. Using Gemini-powered multi-agent orchestration, ContextOS analyzes the workflow, extracts entities and dependencies, identifies operational risks, and transforms the process into a visual Directed Acyclic Graph (DAG) representing the entire execution chain. Instead of blindly automating tasks, ContextOS introduces governance-first orchestration. Every workflow is executed inside a Digital Twin simulation environment where actions can be monitored before reaching production systems. During execution, the platform continuously evaluates policies using a Veea-inspired Zero-Trust Governance Layer capable of detecting risky autonomous behavior in real time. If a high-risk action violates enterprise policy, ContextOS immediately intercepts the workflow, freezes execution, and routes the action into a Human-in-the-Loop approval process with full explainability and auditability. The platform combines AI agents, workflow intelligence, digital twin simulation, policy enforcement, enterprise observability, and contextual RAG-based operational reasoning into a single orchestration layer. Built with React, TypeScript, TailwindCSS, React Flow, Google AI Studio, Gemini 3 Pro, Gemini 3 Flash, and REST APIs, ContextOS demonstrates a future where enterprise AI systems operate with visibility, governance, security, and accountability instead of blind automation.