Satis.AI is an AI operational platform for restaurant kitchens aimed at improving decision making and reducing mistakes. Core of the platform uses computer vision to a) Detect Object, b) Track Object and c) Recognise Actions. This then enables understanding the state of the kitchen to provide real time feedback to staff and connected devices. They have secured pilots from two global QSR and the two major ghost kitchen platforms, focused on errors happening in delivery orders, c.$3.4Bn refunded in the EU & USA, with magnitude more in unhappy customers return impact. Long term objective is to build the base software layer for autonomous kitchens, orchestrating the food preparation between human and various robotic components, targeting the c.$4Tn global food service market. The founder was part of the early & leadership team in Babylon Health. The company has proven base computer vision technology, is part of the Nvidia Inception Programme and Techstars Farm to Fork.