Lagrange Releases DeepProve-1: AI Inference Enters the Verifiable Era @Lagrange Official #lagrange $LA

On August 18, 2025, the Lagrange team announced the launch of DeepProve-1, the world's first production-ready zkML system capable of verifying the complete reasoning of large language models (LLM) through zero-knowledge proofs (ZK). Lagrange successfully proved the reasoning process of OpenAI's GPT-2 model, moving verifiable AI from theory to practical application.

DeepProve-1 expands support from basic models like MLP and CNN to Transformer architectures, including key components such as attention mechanisms, layer normalization, and embeddings. It is compatible with GGUF format and comes equipped with a dedicated LLM inference engine, enabling token-by-token proof generation.

This makes AI systems auditable, scalable, and trustworthy: outputs can be verified without exposing inputs or model intellectual property; compliance with regulatory requirements is ensured; and it confirms that weights, models, and data have not been tampered with.

The technology has wide applications in high-risk areas: proving decision fairness in finance; auditing without disclosing patient data in healthcare; and confirming model compliance in defense.

Lagrange stated that the next step will be to optimize proof size and generation speed for open-source LLMs like LLAMA, supporting high-throughput scenarios. This milestone marks the beginning of the AI trust revolution, making cryptographic verification a reality and driving the transformation of AI systems from black boxes to transparency.

In the future, Lagrange will continue to advance zkML innovation, ensuring a balance between AI safety and privacy.