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LYS Labs Reduces Data Bottleneck by 70% Using 14ms Solana Analytics

LYS Labs Reduces Data Bottleneck by 70% Using 14ms Solana Analytics

Bitget-RWA2025/09/26 15:04
By:Coin World

- LYS Labs completes Phase 1 of its Solana data infrastructure, delivering 14ms latency insights to enable real-time trading and DEX analytics. - The firm launches LYS Flash, a 36ms transaction execution tool that abstracts DEX complexities and reduces settlement times through smart relay technology. - Developer adoption surges with 620+ active users and 16B processed events, supported by a seed round featuring Alchemy Ventures and Chainlink collaboration. - LYS aims to cut on-chain data bottlenecks by 70%

LYS Labs Reduces Data Bottleneck by 70% Using 14ms Solana Analytics image 0

LYS Labs, a Web3 data infrastructure provider specializing in

, has revealed notable advancements toward its goal of becoming the foundational platform for automated global finance. The company has finalized the first phase of its roadmap, now offering highly-structured Solana data with latency as low as 14 milliseconds via its integration with QuickNode Marketplace. This development grants traders and developers immediate access to live wallet activity, token analytics, and liquidity events from leading Solana DEXes such as and Pump.fun, effectively narrowing the gap between data analysis and trade execution LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ]. The firm has also joined the Build on Solana Program, which has strengthened its technical resources and broadened dApp integration opportunities LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 3 ].

Among its latest innovations is LYS Flash, a trading solution crafted to enhance transaction efficiency on Solana. The platform’s intelligent relay engine simplifies the intricacies of DEX contracts, fee mechanisms, and MEV protection, allowing automated systems to complete transactions in less than 36 milliseconds LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ]. Co-founder Marian Oancea shared that the project originated from the need to address Solana’s fragmented data landscape, and that prioritizing user experience led to the creation of LYS Flash, which can process transactions in just 1ms and finalize settlements within 36ms LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ].

Since the debut of the LYS Developer Portal and Builders Program, developer engagement has risen sharply. In its initial month, the platform saw over 620 active users, handled 16 billion events, and moved more than 14 terabytes of data LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ]. This momentum highlights the increasing appetite for structured blockchain data, especially as LYS Flash nears launch. The company’s data infrastructure, featuring knowledge graphs and ontology-based analytics, is already being tested with select partners LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ].

LYS Labs’ seed funding round, which attracted support from Alchemy Ventures, Auros Global, and Frachtis, has accelerated its growth trajectory LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ]. The company’s vision aligns with Solana’s ambition for internet-based capital markets, where transparency and speed foster the creation of new financial products. Co-founder Andra Nicolau emphasized the strategic benefits of working with Chainlink, noting that the partnership has already delivered significant technical and security advantages LYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance [ 1 ].

The company’s future plans reach beyond Solana, aiming to build cross-chain execution tools and agent infrastructure to tap into multi-chain alpha opportunities. LYS Labs seeks to cut data processing times by up to half and boost on-chain trading efficiency by 20%, positioning itself at the convergence of AI and blockchain LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets [ 4 ]. Industry analysts estimate that by 2030, $3 trillion in tokenized assets will be on-chain—a trend LYS Labs is preparing for with its machine-optimized intelligence layer LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets [ 4 ].

Operating with 4ms latency on Solana and under 50ms on EVM-compatible chains, LYS Labs’ data pipelines deliver instant insights for high-frequency traders, MEV operators, and AI-driven models LYS Labs Data Pipelines: Powering Real-Time Insights Across [ 6 ]. The platform’s knowledge graphs track liquidity cycles, governance votes, and wallet activity, enabling deeper causal analysis beyond simple data monitoring. These features are further supported by a Python-based Sandbox, empowering traders to create and implement strategies using live data feeds LYS Labs Data Pipelines: Powering Real-Time Insights Across [ 6 ].

By focusing on structured, context-rich data, LYS Labs addresses a major challenge in on-chain finance, where unstructured information can consume up to 70% of team resources LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets [ 4 ]. By converting raw blockchain events into insights ready for AI, LYS Labs is paving the way for the next era of programmable finance. As markets become more automated, the ability to act on contextual data within milliseconds will be crucial—LYS Labs is positioning itself as the platform to power this transformation LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets [ 4 ].

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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