ChatDa is an AI-native memory layer for enterprises that ingests and structures scattered institutional knowledge — policies, decisions, processes, and the reasoning behind them — into a permission-aware system powered by a dual-graph architecture. It enables employees to search across their entire organization from one interface and gives AI agents the grounded, governed context they need to act reliably, eliminating the hallucinations and manual context injection that plague enterprise AI today.