Lagrange is a leader in zero-knowledge proof generation for safe and private AI. Its flagship product, DeepProve, is the fastest zkML system available, enabling AI verification through zero-knowledge proofs. Lagrange also builds a decentralized ZK Prover Network and an SQL-based ZK Coprocessor. The Prover Network enables secure, low-cost proof generation for ZK rollups, operated by major validators like Coinbase Cloud and Kraken. The ZK Coprocessor allows smart contracts to offload complex, data-heavy computations and verify them onchain.
$LA Token Utility
$LA is the fuel for Lagrange’s cryptographic engine. It is a utility token that aligns the interests of clients, provers, and token holders for decentralized proving activities in the Lagrange Prover Network that are essential for use cases like DeepProve. The $LA token is primarily used by clients to pay for proof generation fees, but also plays a role in subsidizing the costs of provers while allowing token holders to stake and delegate. Lagrange’s tokenomics are built around a simple principle: proof demand = token demand.
Staking for Proof Generation
Provers stake LA tokens to join the network and bid to produce proofs.
LA tokens act as collateral to guarantee performance (liveness).
Penalties (e.g., slashing) applied for delays or malicious behavior.
Incentives & Rewards
Provers and stakers earn fees from proof generation.
More network activity = higher staking rewards.
Token use cases
ZK Prover Network – Use Cases
DeepProve
A zero-knowledge machine learning (zkML) inference framework built by Lagrange—proves neural network inferences with cryptographic proofs. The system allows someone to prove that “the output Y came from running the model on input X,” all the while keeping the model’s weights protected, bringing verifiability and privacy to AI models everywhere. DeepProve is up to 1000x faster at proof generation, up to 671x faster at proof verification, and up to 1150x faster at one-time setup than the baseline. Uses the Lagrange Prover Network.ZK Rollup Proof Generation
Enables decentralized, cost-effective, and secure generation of validity proofs for rollups. Supports rollup ecosystems in achieving higher liveness, lower latency, and greater decentralization. Reduces reliance on centralized proof systems for Layer 2 networks like ZKsync, Polygon, and Linea.
ZK Coprocessor – Use Cases
Onchain Historical Data Queries
Allows smart contracts to access and verify past blockchain state (storage, receipts, transactions).Gas-Intensive Computation Offloading
Handles complex calculations off-chain, returning verifiable proofs for onchain validation.DeFi Incentive Programs
Complex liquidity mining rewards
Volume-based trading discounts on DEXs
Derivatives & Perps Protocols
Funding rate calculations
Historical volatility or time-weighted average price (TWAP) computations
Cross-Chain State Proofs (future potential)
Could verify and prove data from other blockchains or layers without needing trust assumptions.
Summary
The LA token is staked into the Lagrange Prover Network to determine the eligibility of provers to generate proofs. The profits associated with the generation of those proofs accrue back to the LA token stakers. The Lagrange Prover Network generates proofs for large protocols including ZKsync, Polygon, LayerZero, 1Inch, Azuki, Caldera, AltLayer and EigenLayer, so we expect the amount of fees that accrue to the LA token to be large.
Additionally, the LA token may be used for governance of Lagrange. Changes in protocol fees and treasury management can be guided by votes of the LA tokenholders.
Technical guides
Coinbase Developer Guide: https://www.coinbase.com/developer-platform/discover/protocol-guides/guide-to-lagrange
Lagrange Blogs: https://www.lagrange.dev/blog
Lagrange Docs: https://docs.lagrange.dev/
EigenLayer DevRel: https://www.youtube.com/watch?v=jAdlPtTcGpA
Reckle Trees: https://eprint.iacr.org/2024/493Dynamic SNARKs: https://eprint.iacr.org/2024/1566
Robust Double Auctions for Resource Allocation: https://eprint.iacr.org/2024/1750.pdf
DocSend - Lagrange Purpose and Presenting Deck.
Token address - $0.53 | Lagrange (LA) Token Tracker | Etherscan
Key metrics (as at July 10th 2025):
1. What is Lagrange?
Project overview:
Lagrange is a leader in zero-knowledge proof generation for safe and private AI. Its flagship product, DeepProve, is the fastest zkML system available, enabling AI verification through zero-knowledge proofs. Lagrange also builds a decentralized ZK Prover Network and an SQL-based ZK Coprocessor. The Prover Network enables secure, low-cost proof generation for ZK rollups, operated by major validators like Coinbase Cloud and Kraken. DeepProve is a use case of the Prover Network. The ZK Coprocessor allows smart contracts to offload complex, data-heavy computations and verify them onchain.
Project mission
Lagrange believes that the future of AI must be verifiable by design. Verifiability isn’t a nice-to-have, it’s the foundational standard that will determine whether AI can be safely deployed across critical sectors. That’s why Lagrange built DeepProve: the world’s leading zkML system for verifying AI outputs, bringing trust and safety to our AI-powered world.
DeepProve is more than an emerging technology. It is the cryptographic backbone for an AI-powered world that is safe, decentralized, and trustworthy. Lagrange'smission is to make proof-based verification the default standard for how machine learning is deployed across industries—so that every individual, anywhere in the world, can trust that the AI shaping their society is acting in their best interests.
Project value proposition
DeepProve—a zero-knowledge machine learning (zkML) inference framework built by Lagrange—proves neural network inferences with cryptographic proofs. The system allows someone to prove that “the output Y came from running the model on input X,” all the while keeping the model’s weights protected, bringing verifiability and privacy to AI models everywhere. DeepProve is up to 1000x faster at proof generation, up to 671x faster at proof verification, and up to 1150x faster at one-time setup than the baseline.
$LA is the fuel for Lagrange’s cryptographic engine. It is a utility token that aligns the interests of clients, provers, and token holders for decentralized proving activities in the Lagrange Prover Network that are essential for use cases like DeepProve. The $LA token is primarily used by clients to pay for proof generation fees, but also plays a role in subsidizing the costs of provers while allowing token holders to stake and delegate. Lagrange’s tokenomics are built around a simple principle: proof demand = token demand.
Lagrange’s partnerships with industry leaders like Nvidia, Intel, Matter Labs (ZKsync), Mira Network, Lit Protocol, Caldera, AltLayer, Arbitrum, OpenGradient, Polygon, LayerZero, and EigenLayer underscore its cutting edge leadership at the intersection of zero-knowledge technology and AI verification.
Project Key Highlights:
Lagrange has a very active community engagement. The Lagrange community currently has over 150,000 members on both Twitter and Discord. Lagrange’s Turing Roulette, an online chat game where players had to decide whether the other participant is a human or an AI, attracted over 500,000 unique users. Lagrange's ZK Coprocessor product has been used by over 20,000 unique wallets. Lagrange Prover Network currently has over 45,000 stakers that have restaked ETH into it on EigenLayer. Given that Lagrange is the primary proof generation partner for the ZKsync ecosystem, Lagrange also may engage in a distribution involving their 2.3 million unique wallets.
Product: Lagrange’s DeepProve, ZK Prover Network and ZK Coprocessor are the result of substantial innovation in mechanism design and zero-knowledge proof systems. All of the core cryptography and mechanism design within Lagrange'sZK Prover Network, ZK Coprocessor and zero-knowledge machine learning (zkML) products is powered by published research from Lagrange'steam.
Operators on the Lagrange Prover Network bid as part of an auction to generate proofs. Operators collect a profit from each proof that they generate based on the cost of their setup. For large rollup ecosystems, like ZKsync, Lagrange anticipates that the Lagrange Prover Network will generate over >$10 million per year in revenue for operators. Profits paid to operators and stakers will likely be 15-20% of revenue.
Business Model: Lagrange builds the most mature decentralized Prover Network operated by 85+ top operators (including Coinbase, OKX, Kraken and others). We anticipate Lagrange’s ZK Prover Network will reach a run-rate of between $10 million to $20 million in protocol revenue per year once on mainnet. This is heavily driven by Lagrange'sproof generation for chains from Polygon, ZKsync, Caldera, Alchemy and AltLayer. Lagrange’s ZK Coprocessor is integrated with top apps including EtherFi, 1inch, Frax, Gearbox, Azuki and Sappy Seals. Lagrange’s partnerships with industry leaders like Nvidia, Intel, Matter Labs (ZKsync), Mira Network, Lit Protocol, Caldera, AltLayer, Arbitrum, OpenGradient, Polygon, LayerZero, and EigenLayer underscore its cutting edge leadership at the intersection of zero-knowledge technology and AI verification..
Research: Lagrange has authored a number of top papers including Reckle Trees (CCS’2024), Dynamic SNARKs, DARA: Robust Double Auctions for Resource Allocation (FC’2025) and (WIP) Perseus: Verifiable SQL via Decomposition.
Strong team: Lagrange has 25 full-time team members. There are 17 team members focused on engineering and research. There are 8 team members with PhDs in Applied Cryptography or Computer Science. Lagrange also employs 2 professors, including Babis Papamanthou, Ph.D who co-chairs the Cryptography Lab at Yale University.
Existing Products:
Lagrange builds three core products: DeepProve (a zkML system), a decentralized Prover Network and a ZK Coprocessor.
DeepProve—a zero-knowledge machine learning (zkML) inference framework built—proves neural network inferences with cryptographic proofs. The system allows someone to prove that “the output Y came from running the model on input X,” all the while keeping the model’s weights protected, bringing verifiability and privacy to AI models everywhere.
Lagrange ZK Prover Network powers proof generation for ZK rollups and for Lagrange’s ZK Coprocessor. Lagrange launched the first production-ready ZK prover network in the industry, operated by top operators including Coinbase, Kraken, OKX and more. Now, Lagrange’s ZK Prover Network is expanding to address key challenges faced by rollups and advance ZK adoption and utility. Decentralized proving enables rollup ecosystem to operate with higher liveness guarantees, more security and lower cost.
Lagrange’s SQL-based ZK Coprocessor, an infrastructure that enables DeFi protocols to verifiably compute over historical onchain storage, receipt and transaction state. Rather than being constrained by gas limits, smart contracts can directly request proofs of complex data-heavy computations and then verify the results asynchronously back onchain. Examples of use cases built with Lagrange’s ZK Coprocessor include, complex liquidity-mining incentive program, volume-based trading discounts on DEXs and funding rate calculations for options or perps protocols.
2. Technical Infrastructure
How DeepProve Works
Preprocessing: First, a trained ML model is exported as an ONNX file, along with sample inputs. During preprocessing, the ONNX graph is parsed (prepared for efficient proof generation), the sample inputs are used to compute the quantized version of the model, and prover/verifier keys are generated. Preprocessing is a one-time step that does not need to be repeated.
Proving: After preprocessing, DeepProve runs the model on a given input and records how each node of the neural network processes data (also known as an "execution trace"). For every node, DeepProve generates a cryptographic proof that the computation was done correctly. These individual proofs are then aggregated into a single, succinct proof that represents the entire model's correct execution.
Verification: Once the succinct proof is generated, verification is completed using the model’s input and output, the model’s commitment (that uniquely represents the model without revealing any of its internal details), and verification keys. This process confirms that the inference was computed correctly—without ever revealing the input data or the model itself.
In simpler terms, all developers need to do is: Export your model to ONNX → Complete a one-time setup → Generate proofs → Verify AI inferences anywhere.
Scalability and Specialization
Although proving AI outputs with ZK cryptography is critical to safe AI, it is a resource-intensive process. DeepProve ensures that verifiable AI is as resource-efficient as possible by leveraging the Lagrange Prover Network (LPN) to offload and distribute the heavy lifting of proving. The result is an AI verification process that is fast, scalable, affordable, and widely accessible.
At its core, the Lagrange Prover Network is made up of specialized nodes (provers) that generate ZK proofs on demand. These provers act like a decentralized cloud, while lightweight verifiers check the results. By distributing proof generation across many provers, LPN a) eliminates bottlenecks, b) decreases the cost-per-proof, c) guarantees decentralization and d) enables provers to optimize for specific models or hardware. In detail, DeepProve is able to split an AI inference into multiple parts, prove each part independently with parallel machines utilizing the LPN, and aggregate those parts into a single, compact proof to present to the user.
DeepProve further benefits from the LPN's ability to deploy specialized groups of provers, in that a dedicated, modular layer of provers can be designed to specifically support DeepProve’s zkML workloads. This allows provers to optimize for different models and hardware setups—like GPUs or ASICs—enabling faster, more efficient proof generation. By tailoring the network to the unique demands of verifiable AI, LPN ensures DeepProve remains scalable, performant, and adaptable as AI and ZK systems continue to evolve.
Clients and provers who utilize DeepProve also benefit from the LPN’s double-auction mechanism known as DARA (Double Auction Resource Allocation mechanism). Using a knapsack-based allocation algorithm, DARA selects the highest-value matches by ranking proof requesters by willingness to pay and provers by cost per compute cycle. The mechanism enforces truthful bidding through a threshold pricing model—clients pay just enough to win their bids, while provers receive payments tied to market-clearing prices (as opposed to arbitrary offers). This design ensures that both sides maximize utility: clients minimize costs without gaming the system and provers receive market-competitive prices. By aligning incentives and guaranteeing fair pricing, DARA creates an efficient, non-extractive marketplace for cryptographic proofs.
In short, LPN ensures that DeepProve can continue to deliver cryptographic guarantees at speed and scale as the demand for verifiable AI grows, far beyond what any single system could support.
Also see:
3. Token sales and economics
Token distribution
Excludes ongoing inflation from emissions to validators.
Token Release Schedule
*100% represents the total token supply at genesis of 1,000,000,000 $LA.
*Airdrop includes 6.86% public airdrop and 0.14% for Binance marketing affiliate.
*Binance spot allocation of 2.5% includes 1.5% HODLer and a further 1.0% marketing budget to be announced later.
4. Risk Analysis:
Initial Circulating Retail:Institution Ratio:
5. Roadmap & Updates:
Link to original whitepaper:
External_Whitepaper_Lagrange_Prover_Network_A_Decentralized,_Scalable.docx
Link to current whitepaper:
External_Whitepaper_Lagrange_Prover_Network_A_Decentralized,_Scalable.docx
ROADMAP OVERVIEW
Lagrange’s DeepProve began with a bold question: How can we verify the integrity of AI? More practically: What if every AI decision could be proven? Since then, we’ve made that vision real, expanding DeepProve’s abilities to prove inferences for LLMs and deploy verifiable AI across real-world applications.
Milestones Reached:
Q1 2025
Introduction of DeepProve—a zero-knowledge machine learning (zkML) inference framework built by Lagrange—proves neural network inferences with cryptographic proofs. The system allows someone to prove that “the output Y came from running the model on input X,” all the while keeping the model’s weights protected, bringing verifiability and privacy to AI models everywhere. DeepProve is up to 1000x faster at proof generation, up to 671x faster at proof verification, and up to 1150x faster at one-time setup than the baseline.
Lagrange proved that cryptographic verification doesn’t have to live in the lab—it can work at scale, and it can power real products. That’s exactly what Lagrange showcased with Turing Roulette—the world’s first live, gamified AI prediction challenge, powered by DeepProve. Players competed with AIs and each other to determine whether or not their opponent was machine or human. The game drew over 500,000 unique players who generated over 3.75M proofs, demonstrating DeepProve’s ability to verify real-time inferences.
Q2 2025
Work begins on expanding the capability of DeepProve by research into LLM models and applying DeepProve to them.
DeepProve rapidly expanded adoption. DeepProve is already being integrated by major players across Web2 and Web3, including:
Enterprise AI partners like NVIDIA and Intel, with more major partnerships on the way
AI x Crypto leaders like Sentient, 0G, Gaia, Mira, Billions and OpenLedger, and others.
Milestones Ahead
Q3 and Q4 2025
The Lagrange Roadmap: AI's Next Frontier (2025)
Product & Research
→ Verifiable Inferences for LLMs
DeepProve is scaling to support the world’s most important machine learning models. Support for LLaMA, Gemma, Claude, Gemini, and other large foundation models are on the way. This leap will enable:
Verifiable inference for the most popular multimodal models
zkML for DeFi, healthcare, defense, and more
Confidential proofs, ensuring that proprietary models and sensitive inputs remain private
DeepProve’s flexible graph architecture makes it extensible by design—capable of supporting a wide range of AI models and workloads as the frontier of AI evolves. In other words, DeepProve’s internal design makes it not only powerful for today’s AI, but for whatever comes next. Moving forward, DeepProve will enable the cryptographic verification of popular LLM models used across major enterprise applications.
→ Expanded Proving Capabilities
Inference is just the beginning. Lagrange is conducting novel research to pioneer new types of proofs for the next generation of AI systems. Soon, DeepProve will support a variety of proof types that are essential to safe AI, regulatory compliance, and trust in critical infrastructure:
Proofs of Training: Proofs that enable private, collaborative training with verifiable outcomes, attesting to the correct execution of the entire model training process. This will allow for verifiable model training across multiple parties (e.g., hospitals, banks, government agencies) and within single parties whilst protecting the privacy of sensitive datasets.
Proofs of Fine-tuning: Proofs that confirm a pre-trained model was updated on an authorized dataset with specific training constraints. This verifiably ensures that the updated AI model is specialized to handle specific tasks and use cases.
Proofs of Fairness: Proofs that verify a model’s outputs satisfy a predefined fairness constraint (e.g. demographic parity, equalized odds) without revealing the model or the training data. This is imperative for verifying that AI meets ethical and bias standards—for example, when deploying AI models across finance, education, and HR, where compliance with fairness regulations must be demonstrated verifiably.
Proofs of Reasoning: Proofs that trace and verify why a model made its decision without revealing sensitive internal weights or user inputs. This will prove critical for systems in defense, healthcare, and policy, making it possible to deploy interpretable LLMs in regulated settings where decisions must be justifiable and the logical flow of a model’s decision-making verified.
→ Hardware Acceleration & Cloud Integrations
To support real-world adoption, DeepProve will be optimized for both centralized and decentralized environments.
We're working with ecosystem partners (including Intel and NVIDIA) to:
Accelerate proofs with custom silicon and GPU primitives
Integrate with cloud providers and data centers
Enable developers to access DeepProve through simple APIs (plug-and-play)
→ Horizontal Scaling with Parallel Proving
The global adoption of verifiable AI will depend on its speed and scalability. In order to scale DeepProve, we’re pioneering new research for the development of a fully parallelized proof system that:
Splits large inference traces into parallel tasks and distributes them across the Prover Network
Aggregates proofs into a single, succinct proof for high throughput and minimal latency
Reduces proof generation time by 5-10x (with more to come)
This will make DeepProve suitable for low-latency environments like high-frequency trading, autonomous vehicles, and smart contract execution.
→ Private Inferences for Confidential AI
We’re evolving DeepProve to enable private inferences where users can submit encrypted inputs and receive encrypted outputs with a proof verifying that the result is correct. This will open up a variety of critical use-cases for:
Regulated industries like healthcare and finance
Government use cases involving classified data
Any user who values privacy by default
Ecosystem
→ Real-World Deployment for Mass Adoption
DeepProve is already being deployed in the real world. As more and more industries adopt AI-first systems, verifiability will be crucial to ensuring that the innovations we develop are safe and free from error. Here are the key areas DeepProve will expand to:
Defense: Modern defense infrastructure is rapidly adapting to the use of AI for autonomous systems, fleet management, and cyber operations. DeepProve brings cryptographic guarantees to these mission-critical systems—proving that drone decisions, battlefield AI, or satellite intelligence systems operate securely and correctly. It also enables encrypted coordination between agent systems while preserving command confidentiality.
DeFi: As decentralized finance becomes increasingly agent-driven, the need for verifiable strategies is critical. DeepProve ensures that AI agents trading on-chain can prove their actions were executed correctly—without revealing their underlying strategies. This enables new levels of trust in high-frequency trading, market-making bots, and decentralized asset management.
Finance: From algorithmic risk models to compliance AI, the financial sector is under immense pressure to prove that its decision-making systems are trustworthy. DeepProve allows institutions to deploy AI with built-in transparency—verifying decisions like loan approvals, fraud detection, and portfolio optimization, all without compromising sensitive user or institutional data.
Healthcare: In medical AI, trust can be a matter of life or death. DeepProve allows hospitals and health tech platforms to validate AI diagnoses—ensuring they’re generated from FDA-compliant models on clean datasets—while keeping personal health information private. This opens the door for broader adoption of AI in clinical diagnostics, imaging, and personalized medicine.
Media & Moderation: In the era of misinformation and synthetic content, platforms need to know if AI-generated media is accurate—or if moderation tools are acting fairly. DeepProve powers content verification and moderation systems that can prove their integrity, detect deepfakes, and ensure consistent, bias-free enforcement across massive online communities.
→ Industry-Leading Partnerships & Integrations
Lagrange is actively collaborating with the pioneers shaping the future of AI, cryptography, and decentralized infrastructure. As Lagrange's ecosystem grows, so will the number of integrations, SDKs, and supported use cases. You can expect continued rollouts across major enterprise partners in Web2 and Web3.
Web2 Giants: Lagrange's strategic alliance with NVIDIA unlocks deep access to the world’s most advanced AI hardware and research tooling. With upcoming partners, we’ll be accelerating DeepProve at the silicon layer, bringing zero-knowledge proofs into direct alignment with the next generation of high-performance chips. These partnerships are foundational to scaling verifiable AI into real-world enterprise applications—and we’re just getting started.
Web3 Infrastructure Partners: Onchain, we’re working closely with protocols like 0G Labs, Gaia, and others to deploy DeepProve into rollup ecosystems and modular networks. These integrations bring verifiability into the heart of decentralized applications, powering transparent DeFi execution, fair gaming systems, and secure, auditable AI tooling for onchain governance and autonomous agents.
→ Staking Rewards for The $LA Token
The $LA token aligns the interests of clients, provers, and token holders for decentralized proving in the Lagrange Prover Network, powering the proofs needed for verifiable AI via DeepProve. Put simply, proof demand = token demand—proof fees are converted to $LA and distributed to provers, reinforcing the demand for $LA alongside protocol emissions and subsidies. Upon launch, the $LA token listed on major exchanges including Coinbase, Binance Futures, Binance Alpha, OKX, Upbit, Bybit, HTX, Bitget, Bithumb, Gate, Kucoin, MEXC, Crypto.com and more.
The Lagrange Foundation is continuing to build value for token holders and will be rolling out the final pillar of decentralization: empowering $LA holders to delegate their tokens to provers across the network. This mechanism will directly shape the network’s computing power and play a critical role in its economic design.
Community
The future of AI won’t be built by engineers alone—it will be shaped by a global community that demands transparency, accountability, and trust. At Lagrange, community is core to Lagrange's mission. That’s why we’re investing heavily in culture, access, and on-the-ground momentum.
→ Global Expansion
Lagrange's community in Asia—especially Korea ♥︎—is growing rapidly, with some of the most engaged $LA holders in the world. We’re actively working with leading enterprise AI and infrastructure partners across the region to expand our footprint across Korea, Japan, China, and beyond. We’re also doubling down on regional events, translated content, and in-person activations to maintain and grow the community’s momentum. Expect to see Lagrange show up in more APAC cities throughout 2025, with language-localized programs and region-specific integrations on the horizon.
→ Experiences for $LA Token Holders
The official Discord for the Lagrange Foundation has become the beating heart of the $LA ecosystem. With token-gated roles across three key tiers—Goldfish (1,000 $LA), Whales (10,000 $LA), and VIPs (100,000 $LA)—$LA holders can now unlock access to private channels, protocol updates, and exclusive experiences. Stay tuned for $LA-only private gatherings, limited-edition merch, curated rewards, and community raffles you won’t find anywhere else.
→ Online and IRL Events
Throughout the year, we’ll be curating more unforgettable events that bring the Lagrange community together. From online summits to the world’s largest Web3 and AI conferences, our activations are designed to connect and amplify the people shaping the future of verifiable AI.
Catch us at:
Korea Blockchain Week (Sept 22–28),
TOKEN2049 Singapore (Oct 1–2)
Devconnect Argentina (Nov 17–22)
Commercial and Business Development Progress:
Nvidia - Lagrange became the first company at the intersection of AI and crypto to join the NVIDIA Inception Program.
Intel - Lagrange was selected to join the Intel Liftoff for Startups program.
Matter Labs (ZKsync) - Matter Labs and Lagrange have reached a deal to direct up to 75% of Matter Labs’ outsourced proof demand for the Lagrange Prover Network (LPN) over the next two years.
Mira Network - Mira Network is building a decentralized network for AI output verification—where nodes validate the results of models using crypto-economic incentives. With DeepProve, Mira unlocks a new layer of verifiability: Inputs and model internals remain private; Each output comes with a zero-knowledge proof; 1000x faster proof generation than other zkML systems.
Lit Protocol - With DeepProve integrated, Lit gives developers the tools they need to build autonomous, verifiable AI agents.
Caldera - Lagrange is Caldera's proof-generation partner, bringing powerful decentralized proving to Caldera’s rollup ecosystem in its mission to build the metalayer.
AltLayer - Lagrange is the exclusive proof-generation partner for AltLayer’s rollup ecosystem. In addition, verifiability is required for the next era of decentralized infrastructure and that’s why AltLayer partnered with Lagrange to expand verifiable use-cases with DeepProve—bringing scalable, trustless zkML to rollup ecosystems everywhere.
Arbitrum - Lagrange is bringing DeepProve to Arbitrum to pioneer the foundations of DeFAI (DeFi + AI).
OpenGradient - Lagrange and OpenGradient are teaming up to bring verifiability to the AI agent economy
And many more partnerships.
6. Community:
Twitter: https://x.com/lagrangedev
Twitter: https://x.com/LagrangeFndn
Website: https://www.lagrange.dev/
Website: https://www.lagrangefoundation.org/