Lagrange is a blockchain platform focused on scaling computational capabilities through the ZK Prover Network and ZK Coprocessor, supporting decentralized applications (dApps) in DeFi, verifiable AI, and cross-chain compatibility.

The project aims to provide robust infrastructure for Web3, enabling large-scale data processing while safeguarding privacy and security.

Founded by Ismael Hishon-Rezaizadeh, Lagrange collaborates with leading node operators like Coinbase, Kraken, and OKX, while integrating with EigenLayer to leverage over $29 billion in staked ETH—ensuring decentralization and security.

With technologies such as Reckle Trees and DeepProve, Lagrange is redefining how blockchain handles complex computations, from AI verification to cross-chain governance.

Lagrange Labs is supported by a team of experts in cryptography, blockchain, and AI. Alongside CEO Ismael Hishon-Rezaizadeh, the team includes notable figures such as Babis Papamanthou - a renowned cryptographer leading research on Reckle Trees and advanced ZK technology.

The project team consists of around 200 engineers and researchers, with publications featured at prominent conferences such as SBC'2023.

Lagrange has partnered with 85 node operators and formed key alliances to expand its ecosystem:

  • ZKsync: Delegating 75% of its proof demand to the Lagrange Proving Network over two years.

  • Polymer Labs: Supporting cross-chain interoperability through the IBC protocol.

  • Base, Frax Finance, Mantle Network, Omni Network, AltLayer: Integrated ZK co-processor for DeFi applications.

  • Crestal Network, OpenLedgerHQ, Hetu Protocol, LayerOnEth, Holonym: Collaborating on verifiable AI, focusing on AI ownership and transparent research.

Lagrange is making a significant impact in the AI and Web3 space with over 3.7 million verified AI inferences and 11 million proofs generated, demonstrating large-scale capabilities in processing and validating AI. The platform has attracted over 140,000 independent DeepProve users, reflecting real-world applications and trust from the community.

Lagrange technology is deployed in leading projects such as NVIDIA, Intel, Sentient, 0G, Gaia, Mira, Billions, OpenLedger, and many other organizations, demonstrating flexible and efficient integration capabilities within the AI and Web3 ecosystem.

Lagrange also receives support from some of the most prominent investors in the industry, including Founders Fund, Polychain Capital, 1kx, Hack VC, CMT Digital, DAO5, NGC Ventures, and Delphi Digital, reinforcing the project's technological and financial position in the global market.

About the LA token

LA is the utility token of the Lagrange project, issued by the Lagrange Fund to support network operations and encourage community participation.

It plays a central role in the ecosystem—from payment for ZK proofs to participation in decentralized governance. The LA token is designed to encourage fair participation, prevent the dominance of whales or bots, and align with the project's decentralized philosophy.

  • Token name: LA

  • Symbol: LA

  • Blockchain: Integrated with chains like Ethereum and ZKsync

  • Total supply: 1,000,000,000 LA

Allocation:

  • Airdrop: 10%

  • Lagrange Fund: 11.3%

  • Investor: 18.54%

  • Community and ecosystem: 34.78%

  • Contributors: 25.39%

Utility:

  • Proof fees: Payment for ZK proofs on the network

  • Governance: Participate in decisions made by the Lagrange Fund

  • Incentives: Reward for operators and node users

  • Ecosystem integration: Supporting DeFi and verifiable AI applications

Lagrange's DeepProve: Unlocking trust in AI through cryptographic proofs

Lagrange Labs introduces DeepProve — an AI computing framework using Zero-Knowledge (ZK) technology to verify model outputs — delivering unprecedented reliability and security in decentralized artificial intelligence.

The challenge of trust in AI

As artificial intelligence (AI) becomes increasingly integrated into everyday life, the question of the reliability of the results produced by AI becomes urgent. How can we ensure that the outputs from AI models are accurate and trustworthy?

Traditional verification methods often require access to sensitive model information, posing risks of trade secret exposure. On the other hand, security-focused solutions are often too complex for the average user.

Previously, trust in AI primarily relied on assurances from organizations, lacking a transparent technical foundation. Lagrange Labs' DeepProve, launched in March, has changed this by using cryptographic proofs to verify AI outputs, ensuring accuracy without relying on promises or third-party policies.

DeepProve: Verifying AI using ZK technology

DeepProve is a Zero-Knowledge (zkML) machine learning computation framework proving "output Y was produced by running the model on input X" without revealing the model weights.

This technology provides the perfect combination of verifiability and privacy, suitable for any AI application. Compared to basic zkML solutions, DeepProve is up to 1,000 times faster in generating proofs, 671 times faster in verification, and 1,150 times faster in initial setup.

The DeepProve workflow consists of three main steps:

  • Pre-processing: The AI model is exported as an ONNX file along with sample input data. DeepProve analyzes the ONNX graph, creates a quantized version of the model, and generates keys for the prover and verifier. This setup step is done only once.

  • Proof generation: DeepProve runs the model on specific inputs, recording the execution trace of each neural network node. Each node is cryptographically proven, and individual proofs are aggregated into a single, concise proof.

  • Verification: Using input, output, model commitment (a unique representation of the model without revealing details) and verification keys, DeepProve validates the reasoning process without needing access to input data or the model itself.

This process simplifies integration for developers: export the model to ONNX, perform a one-time setup, generate proofs and verify AI inferences anywhere.

Lagrange Proving Network: Scalable performance and optimization

DeepProve leverages the Lagrange Prover Network (LPN), a decentralized cloud of specialized proving nodes.

These nodes generate ZK proofs on demand, while lightweight verifiers validate the results. LPN allows DeepProve to break down AI inferences into smaller parts, proving each part in parallel across multiple machines and consolidating them into a single proof.

This architecture not only eliminates bottlenecks but also reduces costs for each proof, ensuring decentralization and optimization for specific models or hardware such as GPUs or ASICs. As the demand for verifiable AI continues to grow, DeepProve maintains high performance and scalability.

DARA mechanism for optimal resource allocation

DeepProve uses the Dual Auction Resource Allocation (DARA) mechanism in LPN for efficient resource allocation. DARA employs a batch-based allocation algorithm, ranking proof requests by willingness to pay and proving nodes by cost per computation cycle.

This mechanism ensures fair pricing: customers pay the minimum amount necessary to win the bid, while Prover nodes receive competitive market prices. It creates a transparent and efficient market, unaffected by monopolies.

Core technology of Lagrange

Lagrange stands out with advanced technologies shaping the future of blockchain and AI:

  • Zero-Knowledge Proofs (ZK): Core technology that enables computation verification without revealing data, ensuring privacy and security.

  • Reckle Trees: Proprietary data structure that improves ZK proof updates; presented at cryptographic conferences such as CCS'2024.

  • DeepProve: A ZK machine learning library for rapid AI verification, supporting applications such as deepfake prevention and transparent AI research.

  • Integration with EigenLayer: Leveraging over $29 billion in staked ETH to enhance security and scalability.

  • Hyper-parallel computing: Distributing computational tasks across the network to optimize performance for dApps.

Through the seamless integration of these innovations, Lagrange addresses performance and cost challenges in blockchain while unlocking new applications in AI and DeFi.

♡𝐥𝐢𝐤𝐞💬 ➤ @Lagrange Official #lagrange $LA