Context-aware AI assistant that reads your screen to build private work memory

Context-aware AI assistant that reads your screen to build private work memory targets a $300B = 400M knowledge workers x $750 estimated annual value per worker (productivity gains + tooling spend) total addressable market with high saturation and a year-over-year growth rate of 30%+ annual growth in AI-enabled workplace productivity tools.

Key trends driving demand: LLM commoditization -- cheaper, higher-quality models enable contextual assistants to be accurate and responsive in-line with work.; Hybrid/remote work -- dispersed work contexts increase need for cross-app continuity and memory.; Memory & vector search adoption -- persistent personal memories and embeddings enable rapid context retrieval for answers and drafting.; Privacy-first product expectations -- enterprise buyers demand controls, auditability, and on-prem or encrypted-memory options..