LYS Labs
Solana on-chain data graph and AI analytics infrastructure
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LYS Labs is a Web3 data infrastructure for the Solana ecosystem that transforms raw on-chain data into structured, queryable knowledge graphs using Graph + RAG technology. It provides real-time data streams, standardized APIs, and natural language query interfaces, supporting use cases such as transaction monitoring, risk detection, governance analysis, and AI model training. Its core mechanisms include protocol-level decoders, event normalization, graph pattern matching, and anomaly detection, aiming to improve the interpretability and composability of on-chain data.
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About LYS Labs
LYS Labs is a data infrastructure company building an operating system for machine-driven finance on Solana. Its core business transforms raw blockchain data into structured, context-rich datasets in under 20 milliseconds, with delivery latency as low as 2–3 milliseconds. The platform combines knowledge graphs and retrieval-augmented generation (RAG) to enrich data for AI agents, robots, and trading models. It also offers an ontology builder that lets users define custom data schemas for tailored information delivery.
The company's key competitive edge lies in its ultra-low-latency data pipeline and intelligent execution engine. Its upcoming LYS Flash product abstracts away the complexity of Solana's decentralized exchanges—such as varying contract logic, token account structures, and fee mechanisms—enabling machines to move from signal to settlement in 36 milliseconds. This positions LYS Labs as a critical layer for high-frequency trading and automated strategies.
The market problem LYS Labs addresses is the difficulty of accessing clean, actionable data on Solana, where each block contains a high volume of transactions. Most users struggle to extract meaningful insights from raw blockchain data, and executing trades efficiently requires navigating complex DEX-specific parameters like priority fees, bribes, and MEV protection. LYS Labs solves this by providing near-real-time, contextualized data and simplifying execution.
Over the past six months (March 2026 – September 2026), LYS Labs completed the first development phase, making its structured Solana data publicly available. It integrated with QuickNode Marketplace, offering data with latency as low as 14 milliseconds, and joined the Chainlink Build on Solana Program for enhanced technical support and security. The company also launched its developer portal and builder program, attracting hundreds of developers. In its first month, the platform recorded over 620 active users, processed 16 billion events, and transferred more than 14 terabytes of data, demonstrating strong market demand.
Over the past six months (2026-03-04 to 2026-09-04), LYS Labs secured $4M in funding (including a $2M angel round and $2M seed round) from investors such as Alchemy Ventures, Delphi, and individuals from 0G Labs and Ocean Protocol. The company continued advancing its LYS Flash smart relay engine for Solana, targeting 36ms signal-to-settlement execution, and expanded its structured data offerings via QuickNode (14ms latency) and Chainlink Build on Solana. Official roadmap focuses on becoming the operating system for automated global finance, with AI-ready contextual insights and intelligent execution at blockchain speed.
Co-founders and current core executives of LYS Labs:
Marian Oancea (Co-founder & CTO): An initial developer-team member of the Ethereum Foundation, he helped build the world's first decentralized crowdsale (Ethereum crowdsale) and web3.js, invented Ethstats, and co-founded the Ethereum analytics platform Alethio. He co-founded LYS Protocol in 2023 .
Andra von Lys (Co-founder & CBDO): Also known as Andra Nicolau, she serves as Chief Business Development Officer, leading ecosystem partnerships and growth .
Viorel Babagianu (Co-founder): Participated as "VB" in founding LYS Labs; a core member of the founding team .
Headquartered in Bucharest, Romania, the company has ~5 employees and ~$4M total funding. Former Chief Scientist Calin Constantinov departed in February 2026 .