Some blockchains are intended to do one thing and do it very well

In every industry, specialization ultimately trumps generalization. As the complexity of systems increases, the tools that do well are not the tools that try to do everything at once, but the tools that are designed to do one thing exceptionally well. It is striking that technology has always followed this path. Cloud computing is being broken down into storage, compute, and databases, chip design is being broken down into CPUs, GPUs, and TPUs, and the financial industry has become dependent on clearinghouses and administrators as dedicated infrastructure. Blockchain is no exception.

Over the cycles, the blockchain ecosystem has begun to fragment into purpose-built networks for data availability, stablecoins, tokenized assets, and settlement layers optimized for speed and security. As we follow this path, it becomes clear that evidence verification is the next domain ready to follow this path. It is a layer that should have been given its own specialized layer a long time ago.

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Authentication is the bottleneck

Zero-knowledge virtual machines, or zkVMs, and cryptographic applications now produce more evidence than ever before. Rollups, privacy-preserving apps, and zkML systems are in production, each generating massive amounts of proofs that need to be checked. Demand is only increasing, but the infrastructure for verifying evidence has not kept pace.

On Ethereum (ETH), a single proof verification consumes approximately 200,000-300,000 gas. In times of network congestion, this translates to $1-$10 or more per check. For applications that require thousands or millions of verifications, these costs are not scalable. Instead, they become unpredictable, because the economics of a product can seem viable one day and break down the next, depending on the volatility of gas.

Developers often try to work around these limitations by collecting proofs or converting them from STARKs to SNARKs to meet EVM limitations. While this is useful, it can introduce complexity and inefficiency. There is also some nuance here: newer proof types cannot always be verified on Ethereum. The bottom line is that our current infrastructure is collapsing under the burden of proof.

Just add a layer of verification

The solution? Specialization. A dedicated verification layer that can verify evidence at orders of magnitude higher volume can reduce costs and latency while protecting applications from the volatility of L1 gas markets. This framework of this approach encompasses more than just efficiency. Rather, it embodies a core ethos of web3 by placing importance on composability.

Specialization also means dedicated support for newer versions of existing verifiers; these are updated very regularly. Support for new trial types allows projects to adapt as the market evolves or stay ahead.

Imagine a specialized authentication layer as a shared resource that any application can tap into, whether it’s an identity protocol, zkVM, gaming platform, or any of the increasing use cases that ebb and flow from year to year. Instead of each project solving the same bottleneck individually, verification becomes a plug-and-play primitive for the entire ecosystem.

Who benefits?

A dedicated layer of verification has broad benefits for the entire ecosystem.

zkVMs

Systems like RISC Zero or SP1 can avoid the costly detour of converting their STARK proofs to SNARK just to fit within EVM constraints. A layer of authentication allows them to work natively, improving performance and reducing costs.

Identity and attestation protocols

Apps that regularly require proof of authenticity can achieve this predictably and at a lower cost. Layers of verification can support systems on a global scale where billions of microtests would otherwise be prohibitively expensive.

Gaming and entertainment

Online gaming often depends on randomness and fair play. With fast, cheap verification, games can integrate provable fairness into the mechanics without interrupting gameplay. Leaderboards, anti-cheating, and in-game economics: these all benefit from eliminating the need for trust.

AI and zkML systems

As AI becomes an increasingly prominent part of the tech landscape, machine learning often intersects with blockchain. Evidence about model integrity or correctness of inferences can be collected and verified cheaply in batches. As this pertains to AI agents and analytics systems, this opens the door for greater confidence in machine-driven decisions. Agents can communicate with each other and work together more effectively because there is no need for trust

Cross-chain applications

In a multi-chain world, redundancy is an increasing problem. A verification layer enables a “verify once, attest everywhere” framework, allowing a credential generated in one environment to be centrally audited and referenced across chains, potentially improving interoperability.

In short, wherever trust and efficiency intersect, evidence verification becomes a crucial factor.

The next wave of purpose-built chains

As multi-chain ecosystems expand, we are already witnessing the potential benefits of specialization.

Celestia and EigenDA are two such examples. Because they have optimized data availability, applications don’t have to reinvent the wheel. Even stablecoin-first chains like Arc and Tempo have tailored their infrastructure specifically for payments and exchange, illustrating how modularity and specialization can enable more effective scalability.

Layers of verification are the natural, long overdue step to becoming the next area of ​​specialized innovation. They fit in the composable stack next to oracles, DA networks, and settlement tiers. By treating evidence verification as a specialized function, they address one of the most pressing bottlenecks facing the blockchain industry today. They can provide proofs for $0.003 and integrate any proof type, avoiding the need for aggregation or STARK-to-SNARK conversion.

If general-purpose blockchains were to break the barrier, specialization will take future paths. Dedicated layers of verification will improve efficiency and open up entirely new design spaces for developers and users to ensure that the web3 infrastructure is not only functional but also optimized.

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