Anthony Eden

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There are founders who find their edge in elite institutions, warm networks, and the right introductions at the right moment. Anthony Eden is not one of those founders. His edge was forged somewhere else entirely.

He grew up in what Londoners call the “Compton” of London - a neighbourhood historically defined by its high crime rates. His parents had come from Nigeria, as many families in those communities had, and Anthony ended up at the school he describes as the worst in the area by ranking. It was his fifth choice. He remembers watching his mother cry when the placement came through.

The school was, by his account, not really a school. It was a place children went because their parents told them to and the law required it. The operative question was not how to learn. It was how to survive. Gang violence was constant. The alumni outcomes were explicit: jail, supermarkets, early deaths. Getting through was considered success.

Anthony looked at that environment and made a decision that would define everything that came after. He was not going to conform to what it said was possible.

He left with the best grades in the school's history. A year after he graduated, the school shut down. Parents had stopped sending their children there.

The Empire Builder

What Anthony understood about himself early was that he was wired to build small empires inside whatever environment he occupied. The language he uses is deliberate. Not "start a business." Build an empire. The references he cites are not startup founders. They are Rockefeller, Carnegie, Musk. People who reshaped the material conditions of an era.

The instinct showed up young. In elementary school, he started hand-drawing trading cards and selling them to classmates at recess. He owned the game. Everyone on the playground was playing in the system he had built. By 13, he had learned to code, joined a gaming studio, and was building games and selling them, first to people he knew and then to strangers online. The digital-to-physical arbitrage was intuitive. Distribution was a puzzle to solve, not a barrier to accept.

When he got to Imperial College London, one of the best engineering universities in the United Kingdom, he launched a collectibles business. Making thousands in revenue. Sustaining his college life. The school was the opposite of where he had started, and he occupied it the same way he had occupied the worst school in London: by building something inside it that he controlled.

From Morgan Stanley to the Insight

After Imperial, Anthony went to Morgan Stanley as a machine learning engineer. His mandate was to help the institution migrate its payments infrastructure to the cloud. It was a meaningful project. It was also, by his accounting, extremely late for something so important. The pace at which a systemically significant institution moved on critical infrastructure told him something about where the real opportunity was.

He moved to Cerberus Capital Management, the private equity firm. His role there was different from the standard PE analyst track. Cerberus owned banks and lending companies. Anthony's job was to figure out how to make those portfolio companies more efficient using machine learning. Specifically: credit underwriting. The process by which a lending company decides who gets capital, and on what terms.

He built automations that handled the entire loan underwriting and originations process. He flew to France to deploy it inside a bank, working alongside a PhD scientist who had written some of his undergraduate textbooks. Within a year of deployment, the bank grew made millions of dollars from the system.

That was the moment he quit.

The second moment was when he started looking at a specific market. Invoice finance is the practice of businesses receiving capital against the value of their outstanding invoices rather than waiting to be paid. In most economies, invoice finance volume runs at roughly 15 percent of GDP. In the United States, it sits at 2 percent. Anthony looked at that gap and asked the obvious question: is the US the anomaly, or is something structural going on?

Something structural was going on.

What Iridium Is

Invoice finance is expensive for lending companies to offer. The underwriting is manual, the operations are labor-intensive, and the cost of servicing small and mid-sized businesses is high enough that many lending companies simply do not bother. The market stays underserved not because the demand is absent but because the unit economics of serving it do not work.

Iridium automates the entire process. Underwriting, operations, risk assessment. A lending company provides a credit policy and capital. Iridium handles the rest. The result is that invoice finance becomes cost-efficient to offer at scale, and the businesses that lending companies previously would not have serviced become profitable customers.

The unlock is not incremental. The US has approximately $7 trillion in outstanding invoices at any given time. The infrastructure to efficiently intermediate that capital does not currently exist. Iridium is building it.

Anthony describes the vision in one sentence: the Klarna for invoice finance. Any lender that wants to get yield on invoice finance does it out of the box through Iridium, the way lenders generate yield on buy now pay later through platforms like Klarna. Supply the policy, supply the capital, and the engine runs.

Go to Market Through the Infrastructure Layer

The sales motion at Iridium is built around three channels, each chosen for its structural leverage.

The first is system-of-record providers. The largest platforms where invoice finance lenders store and manage their data. Iridium has partnered with the two biggest in the space, who now refer their customers. The distribution is built into the infrastructure layer of the market.

The second is the sister-company channel. Many invoice finance lending companies are owned by banks or larger financial institutions. When Iridium performs for one of them, the institution refers them to its portfolio of related companies. That eliminates cold sales cycles, skips compliance reviews that have already been done, and produces compounding distribution without a proportional increase in sales effort.

The third is thought leadership inside the industry. The beachhead market is roughly 800 invoice finance lending companies in the United States. Anthony is already speaking at industry conferences and publishing with the major associations. By his estimate, a third of those 800 potential customers know his name. In a market that small, that is a significant position.

The first customer came through a referral from a peer in the industry. That validation loop is beginning to close.

On Entrepreneur First

Iridium went through Entrepreneur First, the talent-driven co-founder matching program that has produced companies like Tractable and Faculty. Anthony did not come to EF. EF came to him, twice, sending representatives to his campus at Imperial two years before he eventually joined. He turned them down the first time because of the Cerberus opportunity, which he had already mapped out from an internship there.

His co-founder, Preesha Gehlot, is a former Bloomberg engineer who built recommendation models and published two academic papers. Also an Imperial graduate. By Anthony's account, unambiguously worth the program's cost.

That cost, he notes, is real. EF takes 7 to 8 percent equity. The question every founder considering the program should ask is honest and simple: is the co-founder I am going to find worth that percentage of my company? For Anthony, the answer was clear. But he offers one additional piece of advice for any founder navigating EF or any accelerator with significant equity stakes.

Incentives rule the world. EF's goal is to maximize the aggregate valuation of its portfolio, which is a legitimate goal and often aligned with the founders inside it. But "often aligned" is not "always aligned." When it comes to timing decisions, strategic pivots, and anything that touches the trajectory of your company, optimize for your company's value. Not the portfolio's.

Watch Anthony’s Iridium EF Demo Day Pitch here.

The Team and What's Next

Iridium's co-founding team is technical at its core. The co-founder who came out of EF brings machine learning depth from Bloomberg. Anthony's original co-founder from college, who turned down the EF cohort alongside him two years prior, is joining as Chief of Staff.

In a year, Anthony sees Iridium as the default infrastructure for invoice finance lending. Not merely the best option in a category. The out-of-the-box option, the way that payment infrastructure like Stripe becomes default for companies that don't want to think about payments. Lenders that want yield on invoice finance connect to Iridium, set a credit policy, and the machine runs. The $7 trillion in outstanding invoices becomes accessible.

The United States invoice finance market is not at 2 percent of GDP because there is no demand. It is at 2 percent of GDP because the infrastructure to serve it profitably has not existed. That is the gap Iridium was built to close.

Why Founders and Investors Should Pay Attention

Anthony Eden does not have the background you would pattern-match to. He did not come up through the traditional pipeline. He built his way through it, starting from a school that shut down a year after he graduated, through Imperial, through Morgan Stanley and Cerberus, to a specific insight about a structural gap in one of the largest addressable markets in financial services.

The pattern that matters is not the resume. It is the behavior. He identifies markets where the infrastructure is missing, builds the thing that fills the gap, and does it with enough technical precision that institutions pay for it in the first year.

Iridium is the largest version of that pattern yet.

Anthony Eden is the co-founder and CEO of Iridium, a financial infrastructure company automating invoice finance for lending companies. He was previously a machine learning engineer at Morgan Stanley and Cerberus Capital Management. Iridium went through Entrepreneur First.

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