Lagrange — DeepProve & the Infinite Prover Network: verifiable AI at internet scale

Lagrange is quietly building the trust layer for AI + Web3: DeepProve proves that an AI inference was actually produced by a given model on a given input, with cryptographic guarantees — turning tricky ML outputs into verifiable, privacy-preserving assertions that smart contracts can trust.

What’s happening now (verified): DeepProve has already processed millions of inferences and proofs and onboarded hundreds of thousands of unique users, proving the tech works beyond lab demos. Those proof volumes are the raw demand signal that makes Lagrange more than an R&D project.

Real commercial velocity: Lagrange announced strategic integrations (including Matter Labs routing a material share of outsourced ZK proof demand) and a visible developer/partner push with NVIDIA (Inception program) and Inference Labs — concrete pathways to steady proof revenue. Those partnerships convert theoretical demand into billable workload for prover operators.

Token & economics to watch: $LA is capped at 1B supply with a ~4% annual emission aimed at prover rewards and network growth; only ~19–20% is circulating today, and client fees → LA conversions + buybacks are core to the team’s plan to align proof demand with token value. Pay attention to emission pacing vs. proof volume growth.

Risk vs. reward (short): upside is infrastructure-level capture of zk-compute demand (AI verification, rollup proofs, DA proofs). Downside centers on prover-capex concentration (GPU farms), token unlock/emission timing, and the need for broad integrator adoption to sustain demand. If proof revenue outpaces issuance, LA looks like foundational infra; if not, tokenomics become the squeeze test.@Lagrange Official #lagrange $LA