Files trapped in the wrong storage — cross-system semantic reorganization

Many knowledge workers and teams today spend substantial time hunting for files that live in different SaaS silos—individual contributors, project managers, and IT admins all feel this pain in organizations large and small; there are roughly 300 million knowledge workers globally, suggesting a large addressable base. The symptom is predictable: duplicated content, missed context when files are left in the “wrong” storage, and slowed projects when access and provenance are unclear. You could build a light-seat SaaS that connects to major endpoints (Drive, OneDrive, Box, Slack, Notion, Figma, email stores), computes vector embeddings and semantic metadata, and exposes a project-centric virtual workspace that reclassifies and surfaces files without forcing a costly migration. Priced around $200/year per seat — consistent with the $60B TAM estimate — the product would combine secure, permission-aware connectors, fast semantic search, suggested reorganization actions, and admin controls for compliance; the market score (92/100) and revenue potential (86/100) reflect strong demand and monetizability given current trends. This market is attractive now because cloud fragmentation, mature vector/LLM tooling, and remote/hybrid work create both the technical feasibility and the buyer urgency to pay for regained productivity. To stand out you should prioritize non-invasive virtual organization (so users keep their source storage and permissions), enterprise-grade security and auditability, and active learning loops so suggestions improve with user feedback; these are defensible differentiation points against medium-competition incumbents. Honest challenges include heavy engineering to build and maintain many secure integrations, the cost of scalable embedding and vector storage, and the need to demonstrate clear time-saved ROI to overcome enterprise procurement friction.