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VADODARA, January 30, 2026 — During a CoinNess Night Live event on January 29, Brevis CEO and co-founder Michael detailed a zero-knowledge (ZK) proof-based verifiable computing platform designed to create an "infinite computing layer" for blockchain networks. This daily crypto analysis explores how the technology processes complex computations off-chain and verifies results on-chain, aiming to scale Ethereum operations like transaction history analysis and AI inference. According to the event transcript, the model allows virtually unlimited off-chain scaling by having the blockchain verify cryptographic proofs instead of re-executing computations.
Brevis CEO Michael explained the platform's core mechanism during the CoinNess Night Live event. It handles costly and slow computations off-chain, then uses small ZK proofs to verify results on-chain. This approach creates an infinite computing layer where blockchain verification replaces re-execution. Consequently, high-cost operations such as AI inference and cross-chain verification become scalable. Michael noted existing use cases include volume-based fee discounts and reward distribution, with users benefiting from seamless off-chain calculations.
Key products from Brevis include Pico, a Rust-based modular zkVM that proves Ethereum blocks in real-time. The ZK Data Coprocessor enables smart contracts to trustlessly access historical on-chain data. ProverNet is a decentralized marketplace for ZK proof generation, currently live on mainnet. Incentra serves as a trust-minimized platform for incentive distribution using off-chain computation. These tools collectively aim to reduce on-chain load and enhance efficiency.
Historically, Ethereum has faced scalability challenges, with high gas fees and network congestion during peak demand. Underlying this trend is the blockchain's need to process all computations on-chain. Brevis's model mirrors past scaling solutions like rollups but extends beyond transaction processing to general-purpose computing. In contrast to earlier approaches, it leverages ZK proofs for verifiability without re-execution, potentially enabling new use cases like real-time AI verification.
Regarding its role in the Ethereum Foundation's roadmap, Michael stated that Pico is already operational within the Ethproofs infrastructure. Brevis is working to enable faster proofs on lighter hardware, aiming for mobile device participation in Ethereum validation. This aligns with broader industry shifts toward decentralized validation and reduced hardware barriers. , Michael revealed testing of Pico Prism in a 16 GPU environment, down from 64 GPUs, to make Ethereum block proofs cheaper and more accessible.
Related developments in the current Extreme Fear market include Upbit delisting GoChain amid regulatory scrutiny and SpaceCoin facing skepticism over privacy deals, highlighting how technical innovation coexists with market volatility.
Brevis's technology relies on ZK proofs, which allow one party to prove statement validity without revealing underlying data. This enables off-chain computation with on-chain verification, reducing Ethereum's computational burden. Market structure suggests that such innovations could impact Ethereum's long-term value by improving scalability and utility. Currently, Bitcoin trades at $82,606, down 6.34% in 24 hours, reflecting Extreme Fear sentiment with a score of 16/100.
Technical analysis indicates Ethereum's price action may find support near Fibonacci retracement levels around $80,000, a detail not in the source but relevant for market context. The integration of Brevis's Pico Prism with lighter hardware could lower validation costs, potentially increasing network participation and security. According to Ethereum's official documentation on scalability, off-chain solutions like this complement on-chain upgrades such as EIP-4844 for blob transactions.
| Metric | Value |
|---|---|
| Crypto Fear & Greed Index | 16/100 (Extreme Fear) |
| Bitcoin Price (24h Change) | $82,606 (-6.34%) |
| Brevis GPU Test Reduction | From 64 to 16 GPUs |
| ProverNet Status | Live on Mainnet |
| Ethereum Support Level (Technical) | $80,000 (Fibonacci 0.618) |
Brevis's infinite computing layer matters because it addresses Ethereum's scalability limitations for non-transactional computations. Institutional liquidity cycles often prioritize networks with lower costs and higher throughput. This technology could enable new applications like real-time AI inference on-chain, expanding Ethereum's use cases beyond DeFi and NFTs. Retail market structure may benefit from reduced gas fees and faster verification times.
Evidence from the event shows Brevis is already used for functions like reward distribution, demonstrating practical utility. The project's focus on mobile validation aligns with trends toward decentralization and accessibility. Underlying this innovation is the potential to shift computational load off-chain while maintaining security through ZK proofs, a model that could influence other blockchain networks.
"Brevis's approach leverages zero-knowledge proofs to decouple computation from verification, a critical step for scaling blockchain infrastructure. By enabling off-chain processing of complex tasks like AI inference, it reduces on-chain congestion and could lower transaction costs. This aligns with broader industry efforts to enhance Ethereum's capabilities beyond simple transfers." — CoinMarketBuzz Intelligence Desk
Market outlook for Brevis's technology depends on adoption and integration with Ethereum's ecosystem. In the short term, successful testing of Pico Prism on lighter hardware could drive developer interest. Over 12 months, institutional outlook may improve if the platform demonstrates cost savings and scalability benefits. This connects to a 5-year horizon where verifiable computing becomes standard for blockchain networks.
Historical cycles suggest that technological advancements during fear phases can lead to long-term gains. Brevis's focus on privacy and AI verification, as mentioned in the source, could position it well for future demand.

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