Duality Insights addresses the challenge of secure two-party computation between a model-owning organization and a data-owning organization, both of which are unwilling to disclose their respective assets. This scenario is tackled using two cryptographic methods: secret sharing and Fully Homomorphic Encryption (FHE). Secret sharing allows for efficient computational processes by treating the model as a Boolean circuit, although it requires significant bandwidth due to the exchange of AES keys. Conversely, FHE is bandwidth-efficient and allows computations on encrypted data, although its efficiency diminishes with complex operations. Duality co-founders have innovatively combined these approaches, leveraging their strengths by partitioning computations and translating between secret shared and homomorphic encodings. This combination, backed by new mathematical ideas and careful engineering, optimizes performance to facilitate secure digital collaboration, reflecting Duality's philosophy that the end justifies the means.