LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets

[PRESS RELEASE – Bucharest, Romania, August 19th, 2025]

LYS Labs, the trailblazing machine-ready intelligence platform for Solana’s web capital markets, has closed an oversubscribed $2M angel spherical and a further $2M seed spherical, signaling a seismic shift in on-chain finance. LYS Labs is constructing the essential infrastructure that transforms unstructured blockchain information into actionable insights, enabling AI-driven brokers to function natively on-chain. Backed by crypto’s elite, reminiscent of Michael Heinrich (0G Labs), Piers Kicks (Delphi), Bruce Pon (Ocean Protocol), John Lilic (ex-Telos Basis), Forest Bai (Foresight Ventures), and Scott Moore (Gitcoin), and institutional heavyweights like Alchemy Ventures, Frachtis, and Auros World, LYS Labs is poised to redefine how machines have interaction with blockchain.

From Uncooked Information to Machine-Prepared Finance

LYS Labs started constructing in November 2023, initially working throughout the EVM ecosystem, earlier than shifting its full focus to Solana in November 2024, recognizing it as essentially the most fertile floor and the most important problem for scaling web capital markets.

Immediately, the corporate has shipped its developer portal for uncooked information with sub-14ms latency and is already serving builders. Its structured, context-aware information stack is in testnet with a choose group of customers and benchmarking at round 30ms for its contextualized insights. LYS has additionally constructed a number of OG-RAGs (On-Chain Retrieval-Augmented Mills, which mix on-chain information with retrieval-augmented era methods) to energy Solexys, an AI-driven, context-aware copilot that permits quants and complicated analysts to obtain subtle alerts, backtest methods, and question blockchain information in pure language. Solexys can be dwell within the testnet with over 200 customers.

The Structural Bottleneck in AI and Finance

The monetary business is more and more shifting to on-chain, however unstructured blockchain information stays a barrier. Groups spend as much as 70% of their assets cleansing and reconciling uncooked information earlier than extracting insights, creating inefficiencies that restrict true machine adoption. This course of can take hours, days, and even weeks with out the right tooling.

In conventional markets, structured information is the muse of Bloomberg terminals, quant fashions, and algorithmic execution. On-chain finance, against this, has been held again by messy, unstructured ledgers that lack semantic context. Structured, context-aware information modifications the sport: it transforms uncooked blockchain transactions into data streams that machines can perceive, purpose over, and act upon. Machine-ready intelligence refers to information that’s structured, contextualized, and optimized for AI and machine studying algorithms to readily analyze and act upon. This permits AI-driven brokers to maneuver from easy retrieval to higher-order duties like anomaly detection, second-order threat modeling, and autonomous execution. For establishments, this shift mirrors the leap from ticker tapes to Bloomberg, the distinction between noise and intelligence, and finally between lagging behind and profitable markets.

As machine-driven buying and selling expands through bots, brokers, and complicated AI fashions, structured, context-aware information turns into the essential bottleneck:

• The amount of on-chain information doubles roughly each 12 months, making human-driven evaluation infeasible.
• Over $3 trillion in tokenized property is projected to come back on-chain by 2030, in keeping with business forecasts. LYS Labs goals to scale back information processing time by as much as 50% and unlock 20% extra effectivity in on-chain buying and selling.
• Low-latency, high-context information streams are important for machine finance, the place even microsecond inefficiencies create aggressive drawback.

“Markets have gotten machine-first earlier than they’re human-first,” stated Marian Oancea, co-founder and technical lead of LYS Labs. “For AI brokers to execute trades, detect anomalies, or construct methods autonomously, they want context-aware, structured information that may be processed immediately. That’s what we’re constructing—an information basis the place intelligence and execution can natively function on-chain.”

Unlocking Solana’s Web Capital Markets

LYS Labs’ mission aligns with Solana’s trajectory towards turning into the spine of web capital markets—a system the place all monetary devices, from memecoins to RWAs, exist on-chain with clear, machine-readable liquidity.

“Solana’s purpose is to synchronize world data on the velocity of sunshine. We’re right here to assist that,” stated Andra Nicolau, co-founder of LYS Labs. “As intelligence and establishments come on-chain, the true unlock isn’t just uncooked information, however structured, machine-ready intelligence that enables new types of capital allocation, sooner markets, and fully new monetary merchandise to emerge. Solana’s efficiency makes it the one chain able to dealing with this at scale—and we’re constructing the intelligence layer that makes it usable.”

Roadmap: Multi-Chain Growth and Agent Infrastructure

Whereas Solana is LYS Labs’ instant focus, the roadmap extends past a single ecosystem. LYS Labs is creating the infrastructure to seize cross-chain alpha in actual time, enabling machines to seamlessly purpose throughout a number of blockchains and floor alternatives invisible to human merchants. Equally necessary, they’re investing within the agent layer, the place infrastructure continues to be immature. By constructing native assist for agent execution – information pipelines, orchestration, and context layers – LYS Labs goals to shut the hole between intelligence and motion in machine finance. Their mission is evident: to make AI x crypto extra environment friendly, extra clever, and extra seamless than ever earlier than.

About LYS Labs

LYS Labs is constructing the machine-ready intelligence and execution layer for Solana’s web capital markets. Based in 2023, the corporate transforms unstructured blockchain information into institutional-grade intelligence, enabling AI brokers, quants, and establishments to function natively on-chain. LYS Labs is backed by main angels from 0G Labs, Ocean Protocol, Flashbots, Gitcoin, Ripple, and extra, together with institutional traders together with Alchemy Ventures, Frachtis, and Auros World.

Led by a seasoned group with a mixed 30+ years in AI, 27+ years in crypto, and over 20 years within the threat mitigation and cybersecurity area, LYS Labs is well-positioned to steer this paradigm-shifting method to capital deployment and administration within the crypto area.

Customers can go to https://lyslabs.ai to be taught extra.

Press Contact: enterprise@lyslabs.ai

The put up LYS Labs Raises $4M to Build Machine-Ready Intelligence Layer for Solana’s Internet Capital Markets appeared first on CryptoPotato.