In an era where digital recognition systems categorise and label us, "Beyond Binary" delves into the complex interplay between technology and gender identity. This project probes the question: How do algorithms, particularly those used in big tech facial recognition systems, interpret non-binary and queer identities? The project, developed in collaboration with Giulia Carla Rossi, draws inspiration from groundbreaking queer artists like Arca, Linn da Quebrada, Raya, and Cássils. These artists challenge rigid gender norms and test the boundaries of digital platforms' algorithms through their online presence. Their work highlights the fluidity of trans identities, navigating between visibility and invisibility within the realms of social media. "Beyond Binary" embarked on an experimental journey by constructing a database of portraits, blending male and female features using machine learning to represent the diversity within the LGBTQ+ community. These portraits were shared on Instagram and analysed for gender labelling by an open-source face recognition library.