tl;dr: Google has released HEIR, an open-source compiler that converts pre-trained AI models to run inference on homomorphically encrypted data, letting servers process ciphertexts without seeing the underlying inputs. The project has attracted partnerships with hardware accelerator startups (Belfort, Niobium, Cornami, Optalysys) and several universities, and Google is demonstrating it with four applications: recommendation models, credit card fraud detection, network intrusion detection, and hotword detection. Benchmarks are currently single-threaded CPU, with accelerator latency numbers promised soon.