Analog quantum computing is a powerful paradigm for solving certain computational problems. Unlike digital or gate-model, which relies on discrete gate operations, analog quantum computers use continuous quantum systems such as neutral atoms (Rydberg atoms), trapped ions, or superconducting circuits (quantum annealing) to directly simulate physical processes. These quantum computers offer promising applications in quantum simulation, optimization, and machine learning. In this talk I'll review Pasqal and its technology that uses neutral atoms trapped in optical tweezers to perform quantum computing. Neutral atoms allow a scalable platform for analog and digital quantum computing. I'll demonstrate our roadmap and how it is designed to support analog computing today and add new features as well to enable two-qubit gates, or digital quantum computing in the future. I'll describe three use cases and their potentials and challenges for achieving quantum advantage.