Data security is a major concern for companies like The Hartford that are entrusted with sensitive client data. Traditionally, to run analytics on encrypted client data, it would first have to be decrypted, thus increasing the risk of exposing client information. This project utilizes an encryption methodology named Fully Homomorphic Encryption (FHE) to address this issue. FHE computations can be performed on ciphertext, without the need to decrypt values. We implemented a full stack application with a React.js frontend and a Flask backend that uses the OpenFHE C++ library to estimate a customer's monthly car insurance price using personal client data. Through this, we are able to guarantee that only the client has access to their own data!