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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.

LinkedIn Introduces Advanced AI-Powered People Search

Over the past two years, LinkedIn has steadily integrated artificial intelligence into its platform, enhancing everything from ad copies and personalized content to hiring assistance and job-hunting strategies. The latest innovation focuses on improving one of its most critical features: search. Following the successful rollout of a job search tool for U.S. members earlier this year, LinkedIn is now extending natural language search capabilities to people search.

Streamlined Queries For Targeted Connections

Utilizing natural language queries, users can perform searches such as, “Find me investors in the healthcare sector with FDA experience,” or, “People who co-founded a productivity company and are based in NYC.” This new system simplifies the process that once required precise titles or cumbersome filtering, ensuring a more intuitive and effective way to locate key professional contacts.

Enhancing Professional Networking

During early testing, LinkedIn observed that professionals leveraged the AI-powered tool not only to explore new job opportunities but also to foster business growth and career advancement. As Rohan Rajiv, Senior Director of Product Management at LinkedIn, explained, this upgrade transforms conventional search methodologies by delivering rapid, contextually relevant results that traditional keyword searches often missed.

Industry Trends And Competitive Dynamics

The move comes at a time when AI-enhanced search functionalities are becoming ubiquitous across the digital landscape. Platforms ranging from Google and Bing to startups like Happenstance AI and Clado are racing to deliver more intelligent and responsive search solutions. LinkedIn’s innovation not only reinforces its position as a leader in professional networking but also highlights the transformative impact of AI on everyday digital interactions.

Looking Ahead

Currently available to premium users in the U.S., the AI-powered people search tool will soon expand globally. Future updates are anticipated to refine the tool’s query understanding, ensuring even greater accuracy and relevance. As the digital landscape continues to evolve, LinkedIn’s commitment to integrating advanced AI capabilities underlines its dedication to providing professionals with the tools they need to connect, collaborate, and thrive in an increasingly competitive environment.

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