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Granite Asia leads $60m series A for enterprise AI firm Centific
Centific, an AI solutions company, announced the completion of its US$60 million series A funding round on June 25, 2025.
The round was led by Granite Asia, an investment firm that has previously invested in several successful startups.
Founded in 2020, Centific specializes in infrastructure and expertise for developing AI systems.
The company provides tools for enterprises to advance large-scale AI applications, including foundational models and multimodal systems.
The funding will be allocated to enhance Centific’s platform and expand its research and development efforts.
The company also plans to strengthen partnerships with technology firms, including Nvidia, Microsoft, and AWS.
🔗 Source: Centific
🧠 Food for thought
1️⃣ AI infrastructure spending surges as enterprises transition from experimentation to deployment
Centific’s $60 million funding reflects a broader market shift toward AI infrastructure investments as organizations move beyond proofs-of-concept.
The percentage of organizations using AI in at least one business function jumped dramatically from 55% in 2023 to 78% in 2024, creating massive demand for deployment infrastructure 1.
Despite this widespread adoption, over 80% of companies still report minimal financial impact from generative AI implementations, highlighting the critical gap between experimentation and effective deployment that companies like Centific aim to address 1.
This funding follows a pattern of major investments in AI infrastructure, exemplified by CoreWeave securing $1.1 billion specifically for GPU infrastructure to support growing enterprise AI workloads 2.
The investment in Centific, which operates across various environments including cloud and edge while integrating with Nvidia’s computing hardware, demonstrates how the market is prioritizing the foundational layers needed for successful AI implementation 3.
2️⃣ The rise of specialized vertical AI and data quality as competitive differentiators
Centific’s focus on data quality and domain expertise aligns with the emerging trend of vertical AI applications designed for specific industries and use cases.
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