Lagrange: Building Zero-Knowledge Infrastructure for Verifiable Computation
Lagrange Labs, founded in 2023, aims to become the decentralized zero-knowledge proof (ZK) infrastructure layer, focusing on improving blockchain data verification efficiency and AI model trustworthiness. Through innovative technical architecture, Lagrange decomposes complex on-chain computation tasks into parallel-processable subproofs, achieving verification capabilities of millions of TPS. After launching its ZK Prover mainnet in June 2024, it has attracted 85 top node operators including Coinbase and OKX, generating over 9 million ZK proofs and providing foundational verification services for Layer2 networks such as Base and Arbitrum.

This Token Insights article explores how Lagrange solves blockchain scalability and cross-chain verification problems via a decentralized ZK proof network, analyzing its technical architecture and token model.
Technical Architecture: Three-Module Synergy for Verifiable Computation
ZK Prover Network: Decentralized Proof Network
Lagrange’s core breakthrough lies in building the first production-grade distributed proving network. Operators (e.g., Coinbase, Kraken) stake assets to gain task assignment rights, committing to generating proofs within 0.1 seconds, with slashing for delays. The network integrates EigenLayer’s restaking mechanism, introducing $29 billion worth of ETH as the economic security layer, significantly enhancing anti-attack capacity. Data shows each proof generation takes less than 0.1 seconds—15x more efficient and 90% cheaper than traditional centralized solutions.
ZK Coprocessor: On-chain Data Query Engine
Addressing pain points in blockchain historical data queries, Lagrange developed an SQL-compatible coprocessor. Developers can write SQL queries to fetch full-chain historical states (e.g., Uniswap V3 liquidity changes) and generate incremental update proofs via Reckle Trees algorithm, avoiding full data recomputation. This technology is used by Azuki for NFT rarity verification and Gearbox lending protocol for real-time cross-chain collateral ratio calculation, reducing response time from hours to seconds.
DeepProve: Verifiable AI Inference Protocol
Amid the AI black-box trust crisis, DeepProve generates ZK proofs for AI inference processes, ensuring outputs match the original model expectations. The protocol supports mainstream models like GPT-4 and Llama-3, offering 158x faster verification speeds than peers, completing 3 million AI inference verifications. Medical diagnostics platform DiagnosTech uses this to generate compliant automated reports, meeting FDA audit requirements for AI in healthcare.
Ecosystem Progress and Partnerships
Key Milestones and Partnerships
In May 2024, Lagrange completed a $13.2M seed round led by Founders Fund, reaching a valuation of over $100M. In March 2025, it partnered with Matter Labs to handle 75% of ZKsync’s outsourced proof tasks, reducing transaction costs by 37%. Ecosystem collaboration spans three areas:
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Layer2 Scaling: Base, Arbitrum, Omni use its proving services;
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Restaking Protocols: Deep integration with EigenLayer, Ether.Fi sharing the security model;
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AI Projects: Provides verifiable computation frameworks for 0G Labs, Story Protocol.
2025 Airdrop Plan
The $LA airdrop launched in May 2025 targets active testnet users, allocating 13% of tokens (7.5% already distributed in Season 1). Participants qualify by three behaviors: running nodes on the ZK Prover network, querying on-chain data via the coprocessor, and verifying AI models via DeepProve. The remaining 5.5% will be released in Season 2 through partner campaigns.
Token Economics and Value Capture
Dual Utility of $LA
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Payment Medium: Developers pay in $LA to use ZK proof services (base rate $0.001 per proof);
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Governance Rights: Holders vote on protocol upgrades (e.g., adding supported chains) and fee rate bands (0.05–0.2%);
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Node Staking: Operators stake $LA to gain task priority, with an 8–12% annual return.
Distribution Mechanism and Economic Balance
Out of the 1 billion total tokens, 40% is allocated to community and ecosystem (4-year linear release), and 20% to early contributors (12-month lock-up, followed by linear release). The economic model balances supply and demand via dual mechanisms:
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Deflationary: Proof fees paid in ETH/USDC are used to buy back and burn $LA;
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Inflationary Subsidy: 4% annual token issuance rewards active nodes to sustain network expansion.
Industry Impact and Risk Outlook
Significance of Technological Innovation
Lagrange drives ZK proof into the “industrial era”:
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Ends L2 Fragmentation: Unified proving layer cuts cross-chain verification costs by 90%;
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Solves AI Black Box: Offers auditable AI outputs for regulated fields like healthcare and finance;
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Activates Modular Blockchains: Becomes EigenLayer’s core data layer, supporting Rollup security interactions.
Potential Challenges and Mitigation
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Technical Transparency: Reckle Trees algorithm is not fully open-sourced—community demands more auditable code. Full technical docs planned for Q4 2025.
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Regulatory Tension: US SEC may classify proof fees as unregistered securities. Lagrange reserves 20% tokens for DAO governance to align with “sufficient decentralization” exemption trends.
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Competitive Pressure: Chainlink’s CCIP protocol is entering the ZK proof market, but Lagrange holds early-mover advantage in AI verification.
Real-time regulatory updates available via JuCoin compliance tracker.
Development Roadmap and Ecosystem Evolution
Lagrange’s 2025 roadmap focuses on three directions:
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ZK Prover Scaling: Support ZK proofs for the Bitcoin ecosystem via Merlin Chain integration;
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DeepProve Upgrade: Optimize LLM inference verification for 200% speed improvement;
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LA Applications: Integrate with CoinbaseCommerce to enable merchants to pay for proof services using $LA.
If its “verifiable computation” model gains mainstream adoption, $LA may become the underlying bandwidth currency of the ZK proof sector, reshaping value distribution in Web3 middleware.