Eli Lilly's TuneLab and SWIFT's banking experiments proved federated learning works. Both stayed stuck at pilot scale in small trusted circles. The reason: data diversity drives robust AI models, but current deployments lack distributed trust, verifiability, and operational scalability.  EigenCompute solves this with TEEs and attestation,