Zama's mission is to bring end-to-end encryption to AI. Using Zama's open source homomorphic inference solution, companies can process their users' data without seeing it. Zama's solution is based on a breakthrough in homomorphic encryption which enables evaluating deep neural networks over encrypted data, 100x faster than the state of the art, and without changing anything to the network architecture. Zama's cofounders are Dr Pascal Paillier and Dr Rand Hindi.