LAP enables model definition, latent factor discovery, noise reduction, prediction, and finding latent causal relations. LAP annual users send email to demo@deepcybe.com to request support. Use case 1: LAP discovers more effective technical indicators for predicting stock trends with MCI (demo https://ranty.net/rsi/ai/). Use case 2: LAP container runs on NVIDIA chips to become Latent AI Chip (LAC) - enable Edge AI/MCI high-performance computing (HPC) for self driving (Tesla, Apple, NVIDIA DRIVE) and Edge AIHPC data center. Use case 3: LAP enables next-gen business intelligence and Enterprise AI by machine causal intelligence.