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Metropolis Secures $1.6 Billion To Pioneer The AI-Driven Recognition Economy

Metropolis, a trailblazer in utilizing AI and computer vision for seamless vehicle recognition and autonomous parking payments, has raised $1.6 billion in a notable fundraising round. Valued at $5 billion, the company’s innovative technology enables frictionless transactions, eliminating the need for physical tickets, machines, or credit cards.

Expanding the Boundary of the Physical World

Based in Santa Monica, California, Metropolis currently operates the largest network of parking facilities in the United States, serving over 20 million licensed drivers across more than 4,000 locations. With plans to diversify into retail sectors such as gas stations, quick-service restaurant drive-thrus, hotels, and office buildings, the company is strategically positioned to redefine consumer interactions with the physical world.

Robust Financial Backing and Strategic Partnerships

The $1.6 billion capitalization includes a $1.1 billion senior secured loan alongside $500 million in Series D equity funding. Led by a fund from current investor LionTree, this round attracted other prominent investors including Eldridge, SoftBank, DFJ, Tekne Capital, Vista, and BDT & MSD Partners’ affiliated credit funds. This landmark deal comes on the heels of Metropolis’ record private acquisition of parking operator SP Plus in 2024, further cementing its industry leadership.

Revolutionizing the Customer Experience

Metropolis employs a proprietary computer vision platform that recognizes vehicles by developing a unique “fingerprint” based on distinctive characteristics. While users must register via the company’s app or website by providing minimal details such as a license plate number, the technology extends well beyond simple number plate recognition. The platform’s significant scalability is evidenced by its monthly addition of one million members and processing $5 billion in annual transactions.

Building the Future of the Recognition Economy

Alex Israel, CEO and co-founder of Metropolis, explained, “With this new capital, we’re continuing to scale our platform and forge the foundation of the Recognition Economy, building a new paradigm for how AI is deployed in the real world.” Continuing to expand into multiple retail environments, the company will adopt a software-as-a-service model. This strategy allows retail and real estate owners to license the technology, ensuring broad applicability without the need for direct operational control.

Data-Driven Insights and a Post-Device World

Courtney Fukuda, chief integration officer and co-founder of Metropolis, emphasized the transformative power of the company’s data analytics capabilities. “We know where people are actually moving in the real world, and we can start to put together essentially a member graph of their physical footprint and insights,” Fukuda noted during the CNBC AI Summit. This data is poised to provide commercial real estate owners and hotel companies with unprecedented transparency, transforming traditional cash collections into nuanced, actionable insights.

As Metropolis continues to scale, its pioneering approach to harnessing AI for real-world applications not only streamlines everyday transactions but also lays the groundwork for an entirely new recognition economy—one that operates beyond the constraints of traditional device-dependent interactions.

Women Make Up A Majority Of The EU’s Science And Technology Workforce But The Real Gap Is Elsewhere

Women now make up the majority of the EU’s science and technology workforce. According to Eurostat, in 2025, more than 81.6 million people aged 15 to 74 were employed in science and technology occupations across the EU. Of those, 52.5% were women, equal to 42.8 million women. The number of women in these occupations rose by 27.9% compared with 2015, an increase of more than 9.3 million over a decade.

On the surface, the numbers resemble progress. However, Eurostat’s category requires context before that figure can be read accurately. The data refers to HRST, or Human Resources in Science and Technology, specifically people employed in science and technology occupations. These are roles where the main tasks require professional or technical knowledge in physical and life sciences, but also in social sciences and humanities. That definition is wider and broader than engineering, ICT, laboratory science, or high-tech research alone.

Zooming In

The gender picture changes once the data moves from a wider definition of the workforce to the narrower scientist-and-engineer (research and manufacturing) subgroup.

Scientists and engineers represented almost a quarter of all people employed in science and technology in the EU in 2025. Eurostat describes scientists and engineers as often being the innovators at the centre of technology-led development, making them an important subgroup to focus on separately.

Women accounted for only 40.8% of scientists and engineers in 2025, despite making up more than half of the wider category. That share has increased by a mere 0.5 percentage points over the past decade. The absolute number of women working as scientists and engineers rose from 5.3 million in 2015 to 8.2 million in 2025, despite the push from national and international organisations to increase the number of women in the field. Europe has expanded the number of women in science and technology occupations over ten years. However, that expansion has not extended equally into the scientist-and-engineer subgroup, where much of Europe’s research and innovation work is conducted.

In 2025, of the 39.4 million women aged 25 to 64 working in science and technology occupations in the EU, 35.5 million worked in service activities. Only 2.7 million worked in manufacturing. Women accounted for 57.5% of science and technology employment in services, but only 31.3% in manufacturing.

In 2025, the highest shares of women employed in science and technology occupations were recorded in Latvia at 62.4%, followed by Hungary’s Great Plain and North region at 61.1%, Estonia at 60.5%, Poland’s Central macroregion at 60.4%, and Lithuania at 60.3%. No EU country recorded a majority of women among science and technology workers in manufacturing.

Break-down

Eurostat’s figures measure employment in broad science and technology occupations. They do not show job security, pay levels, management roles, promotion rates, research leadership, or whether women are concentrated in junior or senior workplace positions.

The classification of “senior” also requires additional explanation. Eurostat reports that 45.9% of science and technology workers aged 25 to 64 in the EU were classified as “senior” HRST in 2025. In this dataset, “senior” refers to workers aged 45 to 64. It does not mean senior manager, senior researcher, team lead, or decision-maker.

A high female share in the wider Human Resource Science and Technology (HRST) category does not parallel equal representation across scientists, engineers, manufacturing roles, senior posts, pay, research funding, or decision-making. These figures also reflect the occupational mix inside each country or region, not only structural progress across all areas of science and technology.

The Case Of Cyprus

Eurostat data places Cyprus’s overall science and technology employment at 37.2% of the labour force in 2025, slightly above the EU-27 figure of 36.9%, and above Greece at 26.8%, Malta at 33.9%, and Turkey at 18.2%. This figure covers the total share of the labour force employed in science and technology across all genders.

Progress Or Work-in-Progress?

52.5% in the broad category. 40.8% among scientists and engineers. 31.3% in manufacturing. Europe’s gender gap in science and technology hasn’t closed yet, and there is still work to be done to encourage and support more women to enter the field, especially in research and manufacturing.

Let’s not wait another decade for another couple of percentage points of hope.

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