Nearfield Instruments: The Largest Deep-Tech in the Netherlands for AI Chip Metrology

What happened?

Nearfield Instruments, a spin-off from the Dutch research institute TNO founded in 2016, has closed a $380 million Series D round (approximately €357 million), the largest deep-tech round in the history of the Netherlands, according to an official press release dated June 22, 2026. The oversubscribed round was led by Fidelity Management & Research Company and included Temasek, Qatar Investment Authority, Walden Catalyst Ventures, Innovation Industries, M&G Investments, Invest-NL, TNO Ventures, and ING. The company is valued at $1.6 billion (approximately €1.504 billion).

This financial milestone far surpasses previous Dutch deep-tech rounds, such as the $100 million raised by Lightyear in 2021 or the $150 million by Axelera AI in 2024. For context, Nearfield's round is comparable to the largest European deep-tech rounds, such as the $500 million Series C of German Celonis in 2021, but in a semiconductor hardware sector where rounds are typically smaller. The participation of sovereign investors like QIA and Temasek underscores the geopolitical interest in securing the chip supply chain.

Why is it important?

Metrology is the process of measuring with atomic precision the three-dimensional structures etched into silicon during chip manufacturing. With the transition to Gate-All-Around (GAA), CFET architectures, and 3D stacking, traditional methods like SEM/TEM are either destructive or insufficient. Nearfield's QUADRA platform, based on high-frequency scanning probe microscopy (AFM), enables non-destructive 3D measurements at the nanoscale inline within the fab, without damaging the sample. Its new Sidewall Imaging Mode, presented at SPIE Advanced Lithography 2026, measures the sidewalls of high-aspect-ratio structures, essential for GAA transistors and 3D chips.

The historical context is key: for decades, semiconductor metrology relied on optical and electron beam techniques. But as nodes advance below 3 nm, structures become so small (a few atoms wide) that visible light can no longer resolve them, and electron beams damage samples. High-frequency AFM, originally developed at TNO for nanotechnology applications, offers a non-destructive solution that can operate in real-time within the production line. According to CEO Hamed Sadeghian, quoted in the press release, "metrology is transitioning from a technical requirement to a strategic asset."

The market impact is direct: without precise metrology, chip manufacturers cannot control wafer yield, leading to higher defect rates and lower productivity. With wafer costs at advanced nodes exceeding $30,000 per unit, a 1% improvement in yield can mean hundreds of millions of dollars in annual savings for a foundry like TSMC. Therefore, Nearfield's technology is not only critical for the technical viability of AI chips but also for the economics of manufacturing.

Consequences and implications

This capital injection will allow Nearfield to scale production and expand globally, with a particular focus on Asia and the United States, where major foundries are concentrated. The company positions itself as a strategic supplier for manufacturers like TSMC, Samsung, and Intel, which need advanced metrology to maintain yield at the smallest nodes. Metrology is transitioning from a technical requirement to a strategic asset, and Nearfield is at the center of that shift.

For investors, the round demonstrates growing interest in European deep-tech, especially in the Dutch ecosystem, which already boasts ASML as a lithography giant. The combination of ASML in lithography and Nearfield in metrology could consolidate the Netherlands as a critical hub for advanced chip manufacturing, similar to Silicon Valley's role in design. For chip manufacturers, having non-destructive metrology tools reduces waste and accelerates time-to-market. For end users, this translates into more powerful and efficient AI chips, such as those powering Nvidia's data centers or Apple's processors.

Moreover, the round has geopolitical implications. The participation of Temasek (Singapore) and QIA (Qatar) reflects the growing importance of semiconductor supply chain security. As the US and EU push for local chip production with laws like the CHIPS Act, companies like Nearfield become strategic assets to reduce dependence on Asian metrology suppliers. Indeed, the company has already announced plans to open an office in Austin, Texas, near Samsung and Intel facilities.

What readers should know

Nearfield Instruments is not a household name, but its technology is an invisible and critical link in the semiconductor supply chain. Without precise metrology, AI chips cannot be manufactured with the yields needed to meet demand. The company competes with giants like KLA, Applied Materials, and Hitachi High-Tech, but its focus on non-destructive AFM gives it a differential advantage. KLA, for example, dominates the optical metrology market, but its systems cannot measure internal 3D structures without destroying the sample. Hitachi offers high-resolution SEM, but these are destructive and slow for mass production. Nearfield, in contrast, combines speed, non-destructiveness, and 3D capability, making it a unique option for the most advanced nodes.

For industry professionals, it is important to closely monitor the adoption of QUADRA by major foundries. If TSMC or Samsung integrate the platform into their production lines, it could become a de facto standard, similar to how ASML's lithography systems became indispensable. Additionally, the company has announced that its Sidewall Imaging Mode is already being evaluated by undisclosed customers, suggesting that commercialization is advanced.

"Metrology is transitioning from a technical requirement to a strategic asset" — Dr. Hamed Sadeghian, CEO of Nearfield Instruments.

In summary, Nearfield's $380 million round is not just a financial milestone but a signal that advanced metrology is becoming a pillar of the semiconductor industry. For TheVortiq readers, this means that the next generation of AI chips, from those powering ChatGPT to autonomous vehicles, will partly depend on a company few know, but whose technology is invisible and essential.