EZKL develops an audited library and system for verifiable AI and analytics. It converts ONNX machine-learning models into zero-knowledge-proof-compatible circuits, generates proofs of correct model execution, and supports CLI, Python, JavaScript, and Rust workflows. Its managed Lilith service provides scalable proof generation through dedicated hardware and automatically generated APIs. EZKL serves developers, researchers, and organizations applying AI to sensitive, financial, enterprise, and on-chain use cases where model integrity and output verification matter.
