LYS Labs Cuts 70% Data Bottleneck with 14ms Solana Insights

LYS Labs, a Web3 data infrastructure company focused on Solana, has announced significant progress in its mission to become the operating system for automated global finance. The firm recently completed Phase 1 of its development, making ultra-low latency, structured Solana data publicly available with latency as low as 14 milliseconds through its integration with QuickNode Marketplace. This enables traders and developers to access real-time wallet flows, token insights, and liquidity events from major Solana DEXes like Raydium and Pump.fun, closing the gap between analysis and executionLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1]. The company also joined the Chainlink Build on Solana Program, enhancing its technical support and expanding dApp integrationsLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[3].

A key innovation is LYS Flash, a new trading product designed to optimize transaction execution on Solana. The platform’s smart relay engine abstracts complexities in decentralized exchange (DEX) contracts, fee structures, and MEV protection, enabling machines to execute transactions in under 36 millisecondsLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1]. Co-founder Marian Oancea emphasized the project’s origins in addressing Solana’s unstructured data challenges, stating that the team’s focus on usability led to the development of LYS Flash, which can land transactions in 1ms and reduce settlement time to 36msLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1].

Developer adoption has surged since the launch of the LYS Developer Portal and Builders Program. In its first month, the platform recorded over 620 active users, processed 16 billion events, and transferred 14+ terabytes of dataLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1]. This traction underscores growing demand for structured blockchain data, particularly as LYS Flash prepares for its release. The firm’s data stack, which includes knowledge graphs and ontology-driven insights, is already in testnet with selected partnersLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1].

LYS Labs’ seed round, which included participation from Alchemy Ventures, Auros Global, and Frachtis, has further accelerated its expansionLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1]. The company’s mission aligns with Solana’s vision for internet capital markets, where transparency and speed enable new financial instruments to emerge. Co-founder Andra Nicolau highlighted the strategic value of the Chainlink collaboration, noting that the partnership has already added “massive value” in technical and security supportLYS Labs Moves Beyond Data and Aims to Become the Operating System for Automated Global Finance^[1].

The firm’s roadmap extends beyond Solana, with plans to develop cross-chain execution capabilities and agent infrastructure to support multi-chain alpha opportunities. LYS Labs aims to reduce data processing time by up to 50% and unlock 20% more efficiency in on-chain trading, positioning itself at the intersection of AI and cryptoLYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets^[4]. Analysts project that $3 trillion in tokenized assets will come on-chain by 2030, a trend LYS Labs is poised to capitalize on with its machine-ready intelligence layerLYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets^[4].

LYS Labs’ data pipelines, which operate at 4ms latency on Solana and sub-50ms on EVM chains, provide real-time insights for high-frequency traders, MEV searchers, and AI modelsLYS Labs Data Pipelines: Powering Real-Time Insights Across^[6]. The platform’s knowledge graphs map liquidity cycles, governance voting patterns, and wallet behaviors, enabling causal inference that goes beyond raw data tracking. These capabilities are further enhanced by a Python-based Sandbox environment, allowing traders to develop and deploy strategies using real-time data streamsLYS Labs Data Pipelines: Powering Real-Time Insights Across^[6].

The firm’s focus on structured, context-aware data addresses a critical bottleneck in on-chain finance, where unstructured data currently consumes up to 70% of teams’ resourcesLYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets^[4]. By transforming raw blockchain events into AI-ready insights, LYS Labs is laying the foundation for a new generation of programmable finance. As markets become increasingly machine-driven, the ability to act on contextualized data in milliseconds will determine competitive advantage—LYS Labs aims to be the operating system that enables this shiftLYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets^[4].