The launch of Mavrik-1 is part of a broader rollout strategy, with additional integrations planned for later this year. The AI-driven platform aims to make on-chain data more accessible through natural language processing.
Mavrik-1 is specifically tailored for blockchain-based applications. It has been trained on real-time onchain data, covering areas such as DeFi protocols, stablecoins, and other financial primitives within the ecosystem.
The engine also allows users, both individual and institutional, to query blockchain data and interact with DeFi systems simply by using everyday language. This functionality is expected to reduce the learning curve for users unfamiliar with traditional blockchain analytics tools.
One of the key benefits of this new engine is the ease of access to crucial DeFi indicators. Users can explore data such as:
This data, typically difficult to obtain without technical expertise, is now streamlined through Validation Cloud’s interface.
Hedera DeFi metrics, Including TVL, DEX Volume, & Stablecoin Activity
Source: DefiLlama
According to the company, over 50% of all blockchain activity is DeFi-related, yet accessing this data remains challenging for most users. The goal of Mavrik-1 is to bridge this gap by allowing simplified, user-friendly data interaction.
While many blockchain companies have experimented with AI chatbots and smart contract assistants since at least 2023, the journey hasn’t been without hurdles. Widespread use of AI in blockchain has been restricted by high gas fees, unpredictable execution costs, and limitations in smart contract automation.
Despite the challenges, AI is on track to become a $15 trillion industry by 2030, and its overlap with Web3 is becoming increasingly evident. A 2024 report by Ernst & Young supports this trend, suggesting that the two technologies can be mutually reinforcing.
In an official statement, the firm said:
“Web3 could help AI tackle its trust issues, and AI could help overcome Web3’s adoption challenges. This reciprocal benefit is drawing attention from developers and investors alike.”
AI’s utility within blockchain continues to expand. An “AI-native bank” by a Circle co-founder, supported by $18 million in venture capital was recently launched. This initiative reflects the increasing appetite for merging decentralized systems with AI-driven services, especially in the financial sector.
These innovations also almost perfectly align with growing interest from both Web3 and traditional tech sectors to explore how machine learning and large language models can enhance everything from customer service bots to intelligent smart contracts.
No matter how one looks at it, investor interest in AI continues to surge. According to data from PitchBook, venture capitalists funneled $73 billion into AI startups during the first quarter of 2025 alone. Notably, more than half of that total came from a single round, OpenAI’s record-breaking $40 billion fundraising effort in March.
A Surge In Venture Capital Dollars Pouring Into AI
Source: PitchBook
While general enthusiasm is high, some crypto-focused investors remain cautious. Many are watching to see how AI technologies mature before committing fully to AI-integrated blockchain projects. The consensus is that although the promise is massive, practical implementations are still catching up.
The deployment of Mavrik-1 on Hedera represents a meaningful yet cautious step forward in bringing blockchain analytics and DeFi access to a broader audience. With more integrations expected throughout the year, Validation Cloud’s technology could become a core tool for simplifying the Web3 experience for everyone, from developers to casual users.
As the line between AI and blockchain continues to blur, projects like Mavrik-1 show how combining these two transformative technologies can deliver powerful, user-centric solutions in the Web3 era.
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