⚙️ DeepProve: Turbocharging AI with Verifiable zkML
Lagrange’s zkML engine, DeepProve, brings cryptographic integrity to AI inferences—a critical leap for sectors like healthcare, defense, and DeFi automation. With DeepProve, models trained on LLM or ONNX frameworks can generate inferences and wrap them in zero-knowledge proofs, ensuring the output is verifiable without exposing the input or model weights.
Built in Rust and leveraging Plonky2 for recursion, DeepProve is 158× faster than competing zkML protocols. This performance advantage is no accident: Lagrange routes heavy workloads to its decentralized Prover Network, turning proof generation into a parallelized, stake-driven task.
Key benefits include:
Privacy-preserving AI for enterprise and B2B use cases.
On-chain verifiability of decisions made by AI agents.
Programmability—developers can call DeepProve through Lagrange’s SDK, embedding AI-verification directly into smart contracts.
With DeepProve now in production and support for GPT-4 & Gemini on the roadmap, Lagrange is positioning itself as the proof layer for AI you can trust.
