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.

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🔗 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.

Vertical AI startups are experiencing rapid growth by addressing industry-specific needs in sectors like legal, healthcare, and finance, with predictions of multiple companies reaching $100M+ ARR soon 4.

This specialization is critical as AI adoption matures. McKinsey found that high-performing organizations are more likely to embed AI capabilities across multiple business functions rather than deploying general-purpose solutions 5.

Centific’s network of 1.8 million domain experts for data validation and bias reduction reflects the growing recognition that high-quality, industry-specific data is essential for effective AI implementations 3.

The partnership between Centific and Virtue AI to enhance security and compliance further demonstrates how data governance is becoming a key differentiator in the competitive AI landscape 6.

3️⃣ Massive economic potential driving strategic AI investments

The substantial funding for Centific reflects broader economic forecasts that position AI as a transformative economic force worth trillions.

PwC predicts AI could contribute up to $15.7 trillion to the global economy by 2030, with $6.6 trillion coming from productivity increases and $9.1 trillion from consumption-side effects 7.

This potential explains why over 50% of global venture capital funding in 2024 was directed toward AI companies, with investors recognizing the transformative potential across industries 8.

Specific sectors show particularly high ROI potential – AI is projected to add $340 billion annually to finance alone, while in healthcare, AI could automate 28% of tasks, leading to substantial cost savings 9.

The funding emphasis on AI infrastructure companies like Centific reflects strategic recognition that organizations need specialized partners to overcome the challenges in scaling AI, as 40% of organizations plan to increase their AI investments specifically due to advancements in generative AI technologies 5.

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