Crypto news

17.06.2026
21:14

Acrab startup raised a record $350 million to build infrastructure for agentic AI

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Singapore-based startup Acrab, founded in 2024, announced it has raised over $350 million in total funding. The funds will be used to build a next-generation computing infrastructure focused on artificial intelligence agent systems. This is one of the largest investment deals in AI hardware in recent years, highlighting the growing demand for specialized solutions for autonomous agents.

Full-cycle platform for AI agents

Acrab is developing a full-cycle computing architecture covering all key components: from proprietary AI chips and operating systems to multimodal interfaces and agent management technologies. The company's flagship product is the GΞLIX platform, designed for local deployment of large language models (LLMs) in agent AI tasks. According to the developers, the solution has already been validated in real-world conditions and is at the stage of preparation for its first industrial deployment and mass production.

Strategic priorities

The raised capital will be used to scale the platform, deepen research in computing systems, expand the partner network, and enter international markets. Special emphasis is placed on local LLM deployment, which is critical for ensuring data privacy and reducing latency in autonomous agent operations. This area is becoming increasingly in demand amid tightening regulatory requirements for personal data processing.

Analytical commentary

From a market dynamics perspective, Acrab's success reflects a fundamental shift in the industry: while cloud solutions previously dominated, investors are now betting on decentralized and local computing infrastructure. Raising such significant funding at an early stage indicates that the market sees agent AI as the next major technological frontier. However, the key challenge for Acrab will be not only technical implementation but also the ability to compete with giants like NVIDIA and Google, which are already actively investing in similar developments.