Zero-knowledge machine learning (zkML) used to be slow — Lagrange changed that with DeepProve.
Here’s what makes it stand out:
158× faster proof generation compared to zkVM-based solutions
Supports CNNs, MLPs, and ONNX models
Keeps both inputs and model weights private
Runs on a distributed Prover Network for scalability
This leap in speed isn’t just technical — it unlocks new real-world applications:
Real-time LLM access control
Verifiable AI trading systems
Transparent decision-making in defense and healthcare
More speed means more use cases — and greater demand for $LA , which is burned as gas for every proof.
What’s one zkML use case you think needs this kind of performance boost?
Do your own research — not financial advice.
$LA #lagrange @Lagrange Official
