In a move that signals regulatory confidence, Hold Me Ltd., a Tel Aviv-based technology company, has signed a binding letter of intent (LOI) to acquire Synthetic Darwin LLC, a US-based firm focused on autonomous, self-improving AI agents.
The deal, announced July 24, points to growing confidence in AI technologies designed to evolve without human oversight and their expanding role within blockchain ecosystems. The proposed share-based transaction awaits regulatory clearance and definitive agreements.
AI Agents Designed to Evolve
Best known for its innovative platform, DarwinsLab, an AI ecosystem, Synthetic Darwin has been focused on recursive self-improvement. Notably, the system would allow AI agents to design, test, and evolve independently, using genetic algorithms inspired by natural selection.
These agents operate in complex simulation environments wherein they adjust and improve over time, without the need for human involvement. According to Gabriel Fridman of Synthetic Darwin, the platform seeks to accelerate development across various sectors, including R&D, AI governance, on-chain coordination, algorithmic trading, robotics, and defense.
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Strategic Confidence Behind the Deal
The transaction is structured as a share-based acquisition and remains subject to regulatory approvals. The strategy of the acquisition aims to position the firm Hold Me at the convergence of AI, Web3, and capital markets. Following the completion of the deal, the company plans to raise growth capital to support technological development and market expansion.
A key part of the strategy is the integration of blockchain infrastructure, particularly using a Solana-based utility token. If successful, this would make Hold Me Ltd. the first publicly traded company to operate an AI ecosystem powered by such a token.
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Cross-Sector Deployment and Token Economy
The company’s vision includes deploying AI agents in industries such as healthcare, financial services, and defense, as well as supporting on-chain governance.
Blockchain-based reward systems and compute layers are expected to drive token-based economies for training and incentivizing AI agents. MMoreover, the firm believes that this move would enhance its global visibility and attract institutional investors, which would help scale up critical infrastructure such as reinforcement learning environments, computing capacity, and cross-chain blockchain integration.
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