PrivOS

Enterprise teams today rely on a patchwork of separate SaaS tools for chat, data management, documents, and automation, each charging per user per month. The page states employees lose 4+ hours per week toggling between these disjointed tools, and engineering time is spent building and maintaining fragile integrations like Zapier chains that break. Because data is siloed across vendors, AI cannot reason across tools, and each additional SaaS vendor and SSO integration adds a new attack surface and compliance audit burden. Regulated industries like healthcare, legal, finance, and government also face compliance requirements (GDPR, HIPAA, SOC2, NIS2, EU AI Act) that ordinary SaaS products are not built to meet.

PrivOS consolidates six core capabilities into one platform: team chat with room-scoped isolation, Smart Lists & Data (spreadsheet/Kanban databases), Documents & Files with markdown editing and AI parsing, AI Bot Agents, an MCP App Platform for custom integrations built on the Model Context Protocol, and a Sandbox for isolated code execution and testing. AI agents are treated as full team members, operating in a sense-think-act cycle, scoped to specific rooms so a sales agent cannot see HR data, with human-in-the-loop approval, full audit trails, and granular permission boundaries. The platform can be deployed as secured cloud (on Google Cloud, SOC2 compliant), self-hosted on a company's own infrastructure, or fully air-gapped with zero external connectivity, giving organizations control over data sovereignty. The page describes example automated workflows across sales, HR onboarding, support, supply chain, compliance, finance, and IT service desk use cases, and claims up to 75% SaaS cost reduction and up to 300% productivity gains by eliminating context-switching and tool fragmentation.