PrivOS

PrivOS is an enterprise‑focused AI operating system that can run on a private cloud, on‑premise, or within an air‑gapped intranet. It replaces a set of SaaS tools with a single platform where AI agents appear as team members and collaborate on standard chat channels. The design places heavy emphasis on regulatory compliance, offering features that support GDPR, HIPAA, SOC 2, and EU AI Act requirements.

Teams use PrivOS by opening channel‑based rooms that isolate conversations between teams or functional areas. Within each room users chat, access an integrated markdown editor, and store documents in a shared, searchable repository. The documents feature automated AI parsing that extracts structured data and displays it in spreadsheet or Kanban views. The system also includes a flexible “Smart Lists & Data” database that lets users add custom fields and view the data in tables or boards, useful for inventory, ticketing, or CRM pipelines.

AI agents are deployed inside the rooms. Each agent runs in a sandboxed, permission‑bounded environment that logs every action for audit trails. Rich APIs such as Telegram‑style inline keyboards, custom webhooks, and visual event triggers let the agents execute complex workflows. When an agent needs human approval, it pauses and signals a human‑in‑the‑loop workflow. The platform's Model‑Context Protocol allows users to build MCP Apps, custom dashboards or integrations that connect to the core services, extending the system's capabilities without breaking isolation boundaries.

If you need a self‑hosted chat–doc–Kanban hub that can also run AI workflows, PrivOS offers a single interface. The “sandbox” feature permits safe testing and code execution, so developers can experiment without risking production data. The emphasis on room‑scoped isolation makes it easier to meet strict data‑segregation policies. The platform claims to replace 6 SaaS tools, potentially cutting costs and improving productivity, though exact figures are not disclosed on the site.

Key features

• Chat with channels, threads, and room-scoped isolation for compliance
• Smart Lists & Data with spreadsheet and Kanban views for custom data models
• Centralized document storage with markdown editor and AI‑powered parsing
• AI agents that run in secure sandboxes, support human‑in‑the‑loop approvals
• MCP Apps built on the Model Context Protocol for endless extensibility
• Sandbox environment for isolated testing and code execution