Solana News Today: LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana

LYS Labs has secured $4 million in funding to develop a machine-ready intelligence layer for Solana’s internet capital markets, marking a significant step forward in the evolution of on-chain finance. The funding round was oversubscribed, with $2 million raised in an angel round and an additional $2 million in the seed round. The round was led by prominent figures in the crypto and AI ecosystems, including Michael Heinrich of 0G Labs, Piers Kicks of Delphi, Bruce Pon of Ocean Protocol, John Lilic of the former Telos Foundation, Forest Bai of Foresight Ventures, and Scott Moore of Gitcoin. Institutional backing also came from Alchemy Ventures, Frachtis, and Auros Global [1].

LYS Labs is focused on transforming unstructured blockchain data into actionable, machine-ready insights. This approach enables AI-driven agents to operate natively on-chain, significantly improving efficiency in financial analysis and execution. The company launched its developer portal in November 2023 and shifted its full focus to Solana in November 2024, identifying it as the optimal platform for scaling internet capital markets. LYS Labs now offers a low-latency data stream with sub-14ms latency and a structured data stack benchmarking at around 30ms for contextualized insights [1].

A key innovation by LYS Labs is the development of OG-RAGs (On-Chain Retrieval-Augmented Generators), which combine on-chain data with retrieval-augmented generation techniques to power Solexys, an AI-driven copilot for quants and analysts. Solexys is already live in the testnet with over 200 users and enables natural language querying, strategy backtesting, and real-time signal generation [1].

The growing shift of financial activity to on-chain markets is hindered by the inefficiencies of unstructured blockchain data. Teams spend up to 70% of their resources cleaning and reconciling raw data before gaining meaningful insights, which limits machine adoption. LYS Labs aims to address this bottleneck by providing structured, context-aware data optimized for AI and machine learning. This enables AI agents to move beyond basic data retrieval to advanced tasks such as anomaly detection, risk modeling, and autonomous execution. For institutional investors, this shift could mean the difference between competitive advantage and obsolescence [1].

According to industry forecasts, over $3 trillion in tokenized assets is expected to move on-chain by 2030. LYS Labs aims to reduce data processing time by up to 50% and improve on-chain trading efficiency by 20% [1]. The company’s focus on low-latency, high-context data streams is particularly relevant in machine finance, where even microsecond inefficiencies can create a competitive disadvantage.

“Markets are becoming machine-first before they are human-first,” said Marian Oancea, co-founder and technical lead of LYS Labs. “For AI agents to execute trades, detect anomalies, or build strategies autonomously, they need context-aware, structured data that can be processed instantly. That’s what we’re building—a data foundation where intelligence and execution can natively operate on-chain” [1].

LYS Labs’ mission aligns with Solana’s vision of becoming the backbone of internet capital markets. By providing a structured, machine-ready intelligence layer, the company aims to unlock new forms of capital allocation, faster trading, and innovative financial products. “Solana’s goal is to synchronize global information at the speed of light. We are here to support that,” said Andra Nicolau, co-founder of LYS Labs. “As intelligence and institutions come on-chain, the real unlock is not just raw data, but structured, machine-ready intelligence that allows new forms of capital allocation, faster markets, and entirely new financial products to emerge. Solana’s performance makes it the only chain capable of handling this at scale—and we’re building the intelligence layer that makes it usable” [1].

While Solana is the company’s immediate focus, LYS Labs is also developing infrastructure to capture cross-chain alpha in real time, enabling machines to reason across multiple blockchains. The company is further investing in the agent layer, where infrastructure remains underdeveloped. By building native support for agent execution—data pipelines, orchestration, and context layers—LYS Labs aims to close the gap between intelligence and action in machine finance [1].

Founded in 2023, LYS Labs is led by a team with over 30 years of combined experience in AI, 27 years in crypto, and over 20 years in risk mitigation and cybersecurity. The company is well-positioned to lead a paradigm shift in capital deployment and management within the crypto space [1].

Source: [1] LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets (https://coinmarketcap.com/community/articles/68a464e38ca02c5cdeb070b3/)