Compass Labs leverage the open-source nature of the blockchain to build extremely realistic simulation environments for decentralized finance.
Decentralized finance has the potential to digitize, democratize and transform global finance. However, the complexity involved when interacting with protocols makes the space inaccessible and hinders mass adoption.
Compass Labs combine the on-chain, open-source, code-based nature of blockchain with explainable AI. Their platform implements an agent-environment loop that combines principles from reinforcement learning and agent-based modeling for ultra-realistic and risk-free visibility into smart contract interactions and flow of funds. This flexible framework enables users to simulate, train and optimize a diverse range of scenarios that reflect DeFi dynamics at the smart contract level.
Elisabeth is a physicist and nanoscientist by training with a PhD in Condensed Matter Physics from the University of Oxford. She is a Faculty Machine Learning fellow.
Rohan graduated with a Master’s in Electrical Engineering and Management from Imperial College London, receiving Dean’s List Honors. He is currently pursuing a PhD in Modern Statistics and Machine Learning. He began his career as a data scientist at JPMorgan.
Founded at Entrepreneur First
Seed led by Polygon