If Lagrange's DeepProve is the core engine of verifiable AI, then collaboration with ecological partners is the key to expanding its application boundaries.
Recently, Lagrange announced a partnership with Mira Network to jointly establish a 'trust layer' for decentralized AI.
Mira's idea is to transform AI outputs into 'auditable, consensus-recognized facts' through a diversified network of verification nodes. But to achieve this, consensus alone is not enough; cryptographic-level verifiability is also required.
This is exactly where DeepProve's value lies — it can generate zero-knowledge proofs for every AI inference, allowing Mira's verification network not only to reach consensus but also to ensure that 'facts are computed correctly'.
The direct benefits of this collaboration include: models can prove their own logic, agents can verify outputs, proofs can be directly embedded into oracles, smart contracts, and compliance systems. In other words, this is a step for AI from 'possibly correct' to 'proven correct'.
In the narrative of decentralized AI, Lagrange is becoming an indispensable underlying infrastructure.
