Authorized reprint from TechFlow
Original: https://www.techflowpost.com/article/detail_28606.html

A breakthrough from Brevis, a zero-knowledge full-chain data computing platform, has drawn widespread attention from Ethereum's core community, including endorsements from Vitalik Buterin, Ethereum's official accounts, and researcher Justin Drake.

On October 15, 2025, Brevis announced that its zkVM Pico Prism achieved real-time Ethereum proving on consumer hardware. Using 64 RTX 5090 graphics cards, the system completed 99.6% of Ethereum Layer 1 block proofs within 12 seconds, with 96.8% meeting the Ethereum Foundation's 10-second standard. During September testing under Ethereum's 45 million gas limit, Pico Prism averaged just 6.9 seconds for proof generation.

Ethereum's official account called the development "a major step toward Ethereum's future," highlighting the technology's potential role in the network's scaling roadmap.

The enthusiasm from Ethereum's leadership and veteran community members has sparked widespread curiosity about the significance of Pico Prism's breakthrough and the technical innovations behind Brevis's achievement.

Prior to the Pico Prism announcement, TechFlow spoke with Brevis co-founder and CEO Michael about the platform's development and industry positioning.

When discussing the technology that generated such community interest, Michael emphasized the broader implications for Ethereum's infrastructure. "This breakthrough establishes us as the world's fastest zkVM," he explained. "For the Ethereum community, this represents major progress that could enable significant scaling, potentially achieving truly infinite scalability. Real-time Ethereum proving substantially improves blockchain processing efficiency and confirmation speeds, marking what could be a pivotal network upgrade in the coming year. We may see Ethereum transition entirely to a zkVM-centered architecture."

Michael outlined three key differentiators that set Brevis apart from other zero-knowledge projects. The platform prioritizes real-world implementation and has achieved widespread adoption across multiple use cases. Brevis also maintains strong future scalability to accommodate evolving and diverse requirements. Perhaps most importantly, the platform offers accessibility advantages that allow developers to generate proofs and leverage powerful off-chain computing without requiring deep expertise in zero-knowledge cryptography.

Addressing Brevis's alignment with Ethereum's development trajectory, Michael described the relationship as natural but not exclusive. "Ethereum represents both the most mature technical path and an open, verifiable culture that respects developers and innovation," he noted. "While this aligns closely with our philosophy, Brevis operates as a natively multi-chain architecture. Our vision is that within a decade, 99% of Ethereum and EVM-related computing will occur off-chain through Brevis-enabled verifiable computation."

ZK's Impulse Wave: From Experiment to Application

TechFlow:

Thank you for your time. Please introduce yourself and share what Brevis is currently doing.

Michael:

Hello everyone. This is Michael, co-founder and CEO of Brevis. I'm glad to have this opportunity for deep engagement with all of you.

My background is technical. Both my undergraduate and PhD work centered on computer science, specifically distributed systems and network computing. For the past seven years, I've been laser-focused on building blockchain infrastructure. Before founding Brevis, I co-founded Celer Network, a widely-adopted multi-chain interaction and cross-chain bridge platform.

I entered the blockchain space quite early, starting research and development in 2015. Nearly a decade later, I'm still driven by the same fundamental vision: enabling massive blockchain adoption at global scale.

We call Brevis a "Web3 infinite computing layer" solution. Put simply, our mission is to enable blockchain applications to execute arbitrarily complex computations while preserving the same decentralization and security guarantees as the underlying blockchains, thereby exponentially scaling blockchain capabilities.

Blockchain has always been envisioned as a world computer. We've seen numerous scaling attempts and meaningful progress over recent years, but the reality remains frustratingly clunky. The core issue is fundamental: when computation happens on-chain, every single node must repeat every operation, making on-chain computation painfully slow and prohibitively expensive.

Here's what Brevis does differently: when you encounter computation too complex for smart contracts, you move it off-chain, then generate a zero-knowledge proof. This is an ironclad mathematical proof that verifies the correctness and reliability of off-chain computation. The on-chain contracts don't need to perform complex computation themselves, they simply verify this mathematical proof in milliseconds. This approach preserves blockchain's decentralization and security while delivering traditional computing performance to applications.

Brevis is no longer experimental, it's production-ready and battle-tested. We're powering many of the leading DeFi, infrastructure, and stablecoin projects, including PancakeSwap, Metamask, Linea, and Uniswap. We've generated over 100 million ZK proofs on mainnet, serving over 190,000 users across our partner ecosystem, helping grow approximately $4 billion in TVL and enabling over $300 million in verifiable reward calculations.

The vision is clear: Brevis gives smart contracts infinite computing capabilities for the first time in Web3 history, transforming blockchain from a system that can only handle simple computations and basic financial rules into a truly powerful, intelligent computing platform.

TechFlow:

We know Brevis's ZK exploration began in 2023 when ZK was still pretty early stage. How did you pick this path back then?

Some leading ZK projects like Starknet and zkSync seem to have lost steam, and now the market's getting pretty pessimistic about ZK projects in general. Did this whole thing affect you guys? Why did you stick with this direction when everyone else was getting cold feet?

Michael:

I believe any technology wave has its own rhythm. Usually, the first wave of new technology applications is pretty narrow, while the second wave really opens up application scenarios.

If you look at every new technology in internet history - they all went through this same cycle. For example, mobile internet had two waves: from those basic early apps to moving the entire internet to mobile, and that's when we got things like short video platforms. AI was similar - initially it could only handle specific small problems, then we got these new breakthrough cycles like large language models when computing power exploded.

ZK follows the exact same pattern. Around 2021, ZK became super hot in blockchain, but the real-world use cases were pretty limited - mainly just ZK-based layer-2 networks. We believe ZK as L2 solutions, while definitely a good use case, has pretty narrow applications and has to compete with Optimistic Rollups.

By 2023, ZK hit a rough patch. But for infrastructure teams like us, that's not really the main concern. We don't just see ourselves as a ZK project. We're not technology-driven - we're demand-driven. We want to solve real problems that people actually have in the industry, and ZK just happens to be an effective solution. The problem we're solving is getting large-scale computation to be both verifiable and executable on blockchain. ZK isn't the end goal - it's just a tool.

What sets us apart from other ZK projects is that we actually bring ZK into real scenarios and use cases. For example, when we worked with PancakeSwap we discovered that projects need to give customized experiences to different users, like offering different fee rates for large traders based on their trading volume. You just can't do this with traditional smart contracts. Through ZK technology, we help large traders generate proofs about their trading volume, then smart contracts can execute different fee rates based on these proofs, so you get differentiated user experiences.

When we worked with Euler, the project wanted to distribute rewards using really complex time-weighted models instead of just simple lending incentives. This was completely impossible to implement on smart contracts before, but now we handle it through ZK.

Another example is the Linea platform, which used ZK to implement a complex time-weighted incentive distribution model, making sure incentive distribution stays compliant, secure, and transparent. You couldn't build this incentive distribution scheme with traditional smart contracts, but with ZK technology, we actually deliver on this requirement.

From these real-world applications, you can see ZK technology doesn't just solve complex computational problems - it helps create customized services that actually meet what users need. We now have thousands of users across multiple fields using these systems.

So we're really a demand-oriented, demand-driven tech development project. We believe this is the only way to bring ZK into broader application scenarios and kick off the ZK 2.0 era.

Applicable, Scalable, Accessable: Brevis' Core Competitiveness

TechFlow:

ZK has a steep learning curve, and there are plenty of ZK projects out there besides Brevis. If we had to use three keywords to explain what makes Brevis stand out, what would they be?

Michael:

First, It sould be applicable. Most ZK projects are stuck in the academic or conceptual phase, focusing on niche use cases that don’t really impact users. Brevis is different. From the start, we’ve been driven by real-world demand, solving actual problems with practical applications. We’re already processing thousands of user requests daily across multiple scenarios. For us, it’s not just about what ZK could do in threary. It’s about making it work at scale, right now. Our focus is on taking ZK to mainnet, processing millions of proofs daily, and delivering tangible value to users.

For example, when we built zkVM, we did not aim to create something that could compute everything. Instead, we designed a modular system tailored to the needs of projects like PancakeSwap, MetaMask, and Linea. This approach allows our VM to connect with specialized Coprocessors to handle different application scenarios. That is the difference. We are not theorizing. We are turning ZK technology into practical tools that drive productivity.

Second, it's scalable in future. We didn’t stop at building a single zkVM or Coprocessor. Instead, we created a modular system that can evolve as needs change. Right now, our architecture has two core components: Pico zkVM and ZK Coprocessor. Pico zkVM ensures computation correctness, while the ZK Coprocessor handles complex tasks, like verifying blockchain history or user behavior.

This modular design lets us do more than just the basics. We’re already supporting applications like data privacy and blockchain verification, but we can also easily integrate new technologies. For example, we’re about to launch ZK-TLS and are actively exploring AI-driven ZK Coprocessors. This scalability ensures we’re ready for the multi-dimensional demands of the future.

Finally, we want Brevis to be accessible to all developers, not just cryptography experts. The goal is simple: developers shouldn’t need to understand the intricate details of ZK technology to use it. They should be able to generate proofs and verify them on-chain with minimal effort and cost.

To make this happen, we built our system around zkVM and designed it so developers can write in Rust—no need to learn complex ZK tools. This dramatically lowers the barrier to entry, allowing developers to seamlessly integrate ZK into their applications while leveraging powerful off-chain computation.

https://x.com/brevis_zk/status/1972619666951684283/photo/1

Senarios of Brevis: The Infinite Computing Layer for Everything

TechFlow:

Recently, due to ZEC's exceptional strength, people are again paying attention to privacy and ZK-related tokens. You mentioned early ZK was quite limited. Compared to old ZK narratives like ZEC, what upgrades does Brevis's ZK technology apply?

Michael:

First, we need to clarify the concept of "zero-knowledge proof (ZK)." It’s often abbreviated as "ZK proof," but its full meaning is "zero-knowledge succinct proof."

ZK technology applies to two main areas: privacy protection and succinctness. Privacy ensures that transactions and data remain hidden from outsiders, guaranteeing data confidentiality. Succinctness enables ZK technology to offload complex computational tasks to off-chain systems, generate succinct proofs, and then verify these proofs on-chain. This process significantly improves blockchain’s computational efficiency and scalability.

In blockchain, ZK applications have shifted focus toward succinct proofs. For instance, we can help PancakeSwap verify whether users conducted certain transactions or validate data authenticity on cross-chain platforms. By generating proofs through off-chain computation and verifying them on-chain, blockchains can handle more complex computational tasks without compromising decentralization or security.

In terms of privacy protection, ZK’s advantages are clear. For example, we recently collaborated with Kaito to launch a ZK-based Yapper leaderboard function. The current "mouth mining" culture is very popular, where users improve rankings and earn rewards by posting tweets. However, many individuals claim to be big traders with massive trading volumes, but how do they prove it? Publicizing their wallet addresses risks exposing their privacy and making them targets.

To address this, we designed a solution with Kaito that allows users to prove ownership of wallets meeting specific conditions through ZK without revealing wallet addresses. For example, a user can generate a proof showing they hold $1 million worth of tokens without exposing their wallet. This method preserves privacy while proving user identity or reputation, increasing their leaderboard weight.

ZK’s privacy protection extends beyond identity proof applications. It can be widely applied in scenarios like DeFi. Users can prove through ZK that they are long-term holders of specific tokens or active traders of certain DeFi protocols. This allows future DeFi projects to offer customized incentives, such as better lending rates or rewards, to these users, enhancing user engagement and loyalty.

Another typical example of ZK application is in perpetual options contract exchanges. In DEX like Hyperliquid, users’ trading, order books, and position data are usually public, which can lead to issues like "targeted liquidation" or malicious attacks. While centralized exchanges use dark pools to protect trading information, decentralized exchanges struggle to balance privacy and transparency.

Through ZK technology, we can provide privacy protection similar to centralized exchanges without publicizing users’ specific trading data or order details. Every trade, order match, and user balance can be proven correct through ZK without exposing detailed data. We are currently working with some leading perpetual options platforms to launch this functionality.

ZK tech started with privacy protection, but at Brevis, we’ve turned it into an infinite computing layer, boosting blockchain’s computational power. In the future, ZK 2.0 will integrate privacy and computing to unlock new possibilities.

TechFlow:

As the "infinite computing layer for everything", how do we understand "infinite" here? In what dimensions does this "infinite" specifically manifest?

Michael:

When we talk about "infinite," it begins with Brevis’s computing capability.

The core issue with blockchain computing lies in its limitations. Traditional blockchains are constrained by computational costs because every node must repeat the same computation to reach consensus. While this ensures security, it is highly inefficient. For example, even a simple 1+1 calculation repeated across thousands of nodes becomes unnecessarily expensive. Computational complexity and cost grow with the number of nodes, creating a significant bottleneck.

Brevis addresses this problem using advanced ZK verifiable computing. Instead of requiring every node to perform the same computation, only one node needs to complete the task and generate a succinct zero-knowledge proof. Other nodes can simply verify this proof, which is much faster and cheaper. What previously required the resources of thousands of nodes now costs just a fraction, potentially one-millionth of the original cost. This reduces complexity and enables blockchains to handle far more advanced tasks, effectively removing traditional limits like Gas, TPS, and block time. This is what we mean by "infinite computing capability."

Beyond computing power, Brevis also enables infinite application scenarios. Our technology is already being applied across a wide range of use cases, including stablecoin cold starts, RWA, perpetual DEXs, InfoFi, MEV, Rollups, and smart DeFi. With products like Pico zkVM and the ZK Coprocessor, we have made verifiable computing practical and scalable for all these areas, allowing blockchain to expand into new possibilities.

What truly sets Brevis apart is its focus on developer accessibility. Traditional ZK development is complex and requires expertise in cryptography, circuit design, and proof systems. This complexity has been a major barrier for most developers. Brevis eliminates these challenges by offering high-level abstraction through zkVM. Developers can use familiar programming languages like Rust or Go to write their logic without needing to understand the intricate details of ZK technology.

As a result, ZK development becomes faster, simpler, and more accessible. Developers can quickly get started, experiment with new ideas, and build innovative applications. By making development more flexible and efficient, Brevis enables developers to unlock infinite potential across industries.

TechFlow:

What changes can this "infinite" bring to Web3 and even Web2 (Offchain IT techs)?

Michael:

From a macro perspective, privacy technology doesn't just solve performance problems. Its deeper role lies in completely transforming trust models. Traditional internet computing architecture has always been centralized, with all data processing and computation completed by centralized entities. Users can only trust these centralized computing methods. While this model is effective, it has many limitations.

Web3 aims to overturn this centralized trust structure by promoting decentralized computation and asset management. However, decentralization introduces performance challenges. Computational complexity increases decentralization costs, which becomes a bottleneck for the development of Web3. Brevis addresses this issue by combining decentralization with powerful computing capabilities. This combination creates an infinite computing layer for Web3 and resolves the contradiction between decentralized trust and computing efficiency.

Existing smart contracts are often limited in functionality despite their name. For example, smart contracts cannot access users' historical transaction data or execute complex logical computations. Tasks such as calculating a user's contribution index across multiple protocols cannot be performed on blockchain systems. Brevis’s infinite computing layer removes these limitations and makes smart contracts truly intelligent. It enables advanced functions like dynamic incentives, personalized rates, time-weighted rewards, and other features that were previously impossible.

This evolution allows Web3 to move beyond simple transaction processing and support more complex application logic. It can integrate intelligent decision-making, artificial intelligence, and other advanced functionalities. With these capabilities, Web3 can realize a decentralized, intelligent, on-chain ecosystem.

Brevis also has significant potential in centralized systems. For instance, current AI model training primarily relies on public domain data obtained through platforms like Reddit or Google. While this data is widely available, it is less valuable compared to private domain data. However, privacy concerns make it difficult to manage or trade private data effectively. Users cannot directly share their private data because it contains sensitive information.

Brevis solves this problem through verifiable computing. Using zero-knowledge proofs, users can validate the authenticity of their data without revealing specific details. For example, a user can prove their trading campaign over the past month without exposing individual transaction details. This approach introduces new methods for managing and sharing private data, fundamentally transforming traditional data usage and trust models.

Decentralized AI applications can also benefit from verifiable computing. For example, a medical AI model may analyze medical images and assess disease severity. If the model’s output is generated by an unverified low-quality system, users cannot trust the results. Brevis ensures that every AI model’s output is verifiable and originates from high-quality systems. This capability makes decentralized AI practical and trustworthy, enabling it to deliver reliable, high-quality services.

Brevis plays a key role in breaking trust barriers between centralized systems and Web3. It allows data and computation to be verified and processed in decentralized environments while maintaining privacy. This innovation represents not only a technical breakthrough for Web3 but also introduces new trust models and data usage methods for centralized systems.

Whether in AI model training, decentralized finance, or smart contract execution, Brevis’s technology is revolutionizing data circulation and computation methods. It is paving the way for a future that is both decentralized and intelligent. By providing robust computing capabilities and privacy protection mechanisms, Brevis is driving this transformation.

TechFlow:

Among current cooperation partners, can you help readers understand how Brevis is transforming ecosystems with specific examples?

Michael:

Absolutely. Let me break it down into categories to make it clear.

First, Smart DeFi. Brevis helps DeFi protocols create more dynamic and personalized user experiences by leveraging zero-knowledge proof technology. For example, PancakeSwap has introduced new trading models powered by Brevis. Users can generate proofs of their trading volumes to unlock different levels of fee discounts. If you're a CAKE holder, you can get even bigger discounts in specific pools. We're also collaborating with other DeFi protocols to make the entire DeFi experience more adaptive, personalized, and efficient.

Another exciting project we're launching is the Gas Fee Rebase initiative with Uniswap. Here, users can generate proofs based on their gas consumption in trading pools and receive rewards in return. It’s a game-changer for making DeFi more rewarding and engaging.

Second, stablecoin growth. Brevis plays a critical role in helping stablecoins integrate deeply into the DeFi ecosystem. Stablecoin adoption requires strong, continuous incentive systems. That’s why we’ve partnered with Usual Money, OpenEden, and MetaMask to build decentralized incentive mechanisms. These systems reward users automatically based on historical behavior proofs—whether they’re providing liquidity or trading in various protocols. The process is transparent, secure, and fully verifiable.

Third, blockchain growth. Blockchain ecosystems need effective reward distribution to scale sustainably. Brevis ensures these rewards are transparent, automated, and verifiable. For instance, we’ve teamed up with Kernel to enable secure proof and reward distribution for cross-chain assets. This kind of collaboration drives blockchain adoption while maintaining trust and security.

Fourth, privacy and AI integration. Privacy is another area where Brevis shines. Take our partnership with Kaito, for example. In the InfoFi space, Brevis allows users to prove their credentials while safeguarding their privacy. And in AI, Brevis opens up entirely new possibilities by enabling secure and private interactions between users and systems.

Brevis isn’t just a concept—it’s already solving real-world problems across multiple scenarios. From personalized DeFi to stablecoin adoption, blockchain growth, and privacy, our partnerships are making Brevis a cornerstone of innovation in the ecosystem.

Pico Prism Ethereum Real-time Proving: Ethereum's zkVM Singularity Transition

TechFlow:

In your vision of creating the "infinite computing layer for everything," what key technical breakthroughs has Brevis achieved? Can you share some of the most important progress?

Michael:

Over the past couple of years, we’ve made some groundbreaking advancements. The most notable one is the launch of Pico zkVM’s Prism version, a cutting-edge zero-knowledge proof virtual machine. This technology allows us to prove any computation, no matter how complex. It’s one of our flagship innovations, enabling computation to be verified through ZK proofs seamlessly.

Let me highlight something even more exciting, which is our Pico Prism multi-GPU version. This version has achieved 99.6 percent real-time proof coverage for Ethereum mainnet blocks on consumer-grade hardware, with an average proof generation time of just 6.9 seconds. That makes it 70 percent faster than the second-fastest zkVM solutions out there, while cutting costs by 50 percent. Overall, we have increased performance efficiency by four times.

Why is this breakthrough so significant?

For starters, it makes Brevis the world’s fastest zkVM, delivering unmatched speed, cost-efficiency, and scalability. But more importantly, this is a huge leap forward for the Ethereum ecosystem.

Ethereum has always prioritized decentralization and security, but it struggles with scalability. The traditional Ethereum network requires thousands of nodes to compute the same tasks, which increases computational loads and drives up costs as block capacity expands.

With Brevis, we have flipped the model. Now, only one node needs to generate a block’s ZK proof, which can then be verified by millions of nodes across the network. The computational power required for verification is just a fraction of the original block computation.

Here is where it gets even better. ZK proofs are unique because their generation time remains almost constant, regardless of the complexity or scale of the computational task. This means that as data complexity increases, we can still process it efficiently without slowing down.

What does this mean for Ethereum? We are looking at a tenfold to hundredfold improvement in scalability immediately. By simply adding more GPUs to proof-generating nodes, Ethereum’s transaction processing capacity skyrockets. Our projections show that we could achieve a thousandfold scaling boost for Ethereum in the near term.

And because Pico zkVM supports multi-GPU parallel computing, we can optimize the entire Ethereum network without requiring massive amounts of additional resources. This brings us closer to achieving true infinite scaling for blockchain.

Real-time proving is another game-changer. With real-time proof generation, blocks can be verified instantly after they are created. This drastically improves blockchain processing efficiency and confirmation speeds, laying the foundation for Ethereum’s next major evolution. In fact, we believe Ethereum could transition to a zkVM-centered architecture, replacing the current repetitive computation model entirely. Within the next year, this shift could become a defining milestone for Ethereum upgrades.

Modularity is another key innovation. Our zkVM is designed with a powerful plugin system, enabling developers to extend its functionality for specific use cases. For example, we have introduced the ZK Data Code Processor, which gives smart contracts memory capabilities. Traditionally, smart contracts cannot access historical data, but with this coprocessor, they can backtrack and analyze past data, enabling far more complex logic.

This modular approach allows developers to customize features while boosting computational efficiency and reducing costs. To put it simply, with the ZK Data Code Processor, smart contracts can process complex data like transaction histories one hundred times more efficiently, while cutting costs significantly.

Brevis is not just pushing boundaries. It is redefining what is possible for blockchain scalability, efficiency, and innovation.

Before TGE: Brevis's Vision for a zkVM-Driven Future

TechFlow:

With TGE approaching, Brevis has also launched the Brevis Proving Grounds campaign where users can earn Brevis Sparks by completing tasks. This is also an important way of determining TGE airdrop allocation. As ordinary users, how can they participate more effectively?

Michael:

That’s a great question. The Brevis Proving Grounds activity is designed with straightforward rules, but its purpose goes far beyond completing tasks for rewards. Through this initiative, we aim to help users gain a genuine understanding of ZK technology and the boundaries of verifiable computing capabilities.

Rather than simply clicking a few buttons, we want participants to immerse themselves in real-world applications, such as smart DeFi, reward distribution, and other use cases. By engaging with these practical scenarios, users can experience the tangible benefits that ZK technology brings, gaining a deeper appreciation of how our services are built and how they contribute to the broader ecosystem.

Ultimately, this campaign is about exploring the potential of ZK technology together with the community. It’s not just about completing tasks but about fostering meaningful engagement with Brevis’s product-market fit. Unlike traditional testnet activities, this initiative offers a deeper, hands-on experience of ZK technology’s capabilities.

TechFlow:

Can you share what Brevis's work priorities will be next?

Michael:

On one hand, we will continue expanding our developer and partner ecosystems. We already have many developers and partners planning to use ZK or Brevis’s PICO, ZK Coprocessor, and other technologies to build various applications.

On the other hand, a key priority is launching validator networks. We do not plan to bind ourselves to specific chains or perform full verification. Instead, we aim to decentralize the entire ZK verification process by building distributed verification networks. This will be one of our core focus areas moving forward.

TechFlow:

It seems your team’s focus has always been on EVM or Ethereum. Are you personally a loyal "Ethereum Maxi"? How do you view Ethereum and EVM's future?

Michael:

Much of Brevis’s work, including Real-Time Ethereum Proving, aligns with Ethereum’s future roadmap. This is because Ethereum currently represents the most mature and robust technical path. It is not just a public chain but also an open, verifiable culture that respects developers and innovation. This philosophy aligns closely with Brevis’s values.

From a technical perspective, EVM was created ten years ago and remains the blockchain industry’s most vital execution environment. Even BNB Chain and various Rollups are built on EVM. Each technical iteration has not completely replaced the old systems but has evolved based on EVM. I believe this is one of the main reasons for Ethereum’s sustainable innovation.

At Brevis, our goal is to leverage the EVM ecosystem to drive sustainable innovation. We aim to bring new changes in scaling and computational models through technical advancements while maintaining strong compatibility with existing ecosystems. For example, decentralized exchanges like PancakeSwap and Uniswap, despite using different architectures, ultimately rely on EVM chains for settlement.

Ethereum has a high demand for zkVM, especially for promoting privacy protection and verifiable computing. From the perspective of clients and partners, if Ethereum’s underlying network transitions to a zkVM-driven architecture, it will become the largest client of zkVM technology. This makes Brevis’s focus on Ethereum a natural choice.

That said, it is important to emphasize that Brevis is not built exclusively for Ethereum. Our architectural design is inherently multi-chain, supporting various non-EVM chains such as Mone, Solana, Cosmos, and even emerging VM systems. A key feature of our platform is that most computations happen off-chain, with only the verification process occurring on-chain. The on-chain verification part is simple, and we only need to adapt the verification contract for different blockchains. This makes Brevis easily compatible with a wide range of blockchains.

Many Ethereum Maxis pursue open standards and long-term development. Spiritually, we might be considered "Ethereum Maxis," but in terms of implementation and large-scale adoption, we are an open platform.

Finally, I am personally very optimistic about Ethereum’s future. I believe Ethereum is a shining example of Web3 security and innovation. Brevis aims to empower Ethereum, gradually transforming it from a platform where all logic executes on-chain to one where the focus is purely on verification. In the next ten years, we hope 99 percent of Ethereum or EVM-related computing happens off-chain through Brevis, enabling verifiable computation at scale.

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