SATIS.AI
Finlay Hudson MSc has a diverse work experience in the fields of computer vision, robotics, and customer service. Finlay is currently working as a Lead Computer Vision Engineer at SATIS.AI, where they lead a team in developing a real-time visual analysis system for fast-food kitchens. Prior to this, Finlay worked as a Part-Time PhD Candidate at the University of York, where they are still pursuing their degree. Finlay also has experience as a Lead Computer Vision Engineer at Springbok AI, where they delivered customized AI solutions. Additionally, Finlay worked as a Computer Vision Engineer at VisioImpulse, leading deep learning projects for various clients. Finlay started their career as a Robotics Engineer at HayBeeSee and later worked as a Robotics Research Software Engineer at the University of York. Finlay also has customer service experience from their time as a Customer Service Assistant at Sainsbury's. Finlay began their professional career as a Warehouse Assistant at Tempower LTD, where they gained knowledge of power and electronics and developed skills in equipment repair. Finlay has also worked briefly as a guitarist for the Center Stage Company.
Finlay Hudson MSc pursued their Master of Science degree in Intelligent Robotics from the University of York. Finlay attended the university from 2017 to 2018. Prior to this, they completed their undergraduate studies at Anglia Ruskin University from 2014 to 2017. However, specific information regarding their degree name and field of study during their undergraduate studies is unavailable. Finlay successfully obtained their MSc certification from the University of York in September 2018.
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SATIS.AI
Satis.ai is a full stack operating system for autonomous restaurant kitchens aimed at improving decision making and reducing mistakes. We are using the opportunity created as a result of food delivery disruption and its two digit growth, to bring real technological innovation in a space which has already optimized most of its processes. Ourinitial focus is to address the c.$3.4Bn market of refunded orders in the EU & USA while keeping in mind our long term objective to build automated kitchens to address the c.$4Tn global food service market. We have proven the base technology and now have one running pilot, agreed pilots with two large global food chains and a queue with a couple of smaller ones. Satis.ai is a member of Nvidia inception programme and Techstars Farm to Fork accelerator, which is run in partnership with the world’s biggest private companies in the industry Ecolabs and Cargill.