When a London startup founded by a 23-year-old ex-JPMorgan analyst reaches a $1.3 billion valuation before its tenth year, it does not happen by accident. It happens because the problem it solves is enormous, the timing is right, and the technology underneath is genuinely hard to replicate.
On 31 March 2026, 9fin announced a $170 million Series C funding round, led by global private markets firm HarbourVest and backed by the Canada Pension Plan Investment Board (CPP Investments), alongside returning investors Redalpine, Highland Europe, Spark Capital, and Seedcamp. The round values the company at $1.3 billion, officially placing 9fin among the ranks of UK tech unicorns, and brings its total funding raised to over $250 million.
The announcement landed with unusual weight. Not simply because of the size of the cheque, but because of what 9fin actually does, who is now paying attention to it, and what this capital injection signals for the future of artificial intelligence in financial services.
What Is 9fin? The London Platform That Thinks in Credit
9fin was founded in London by Steven Hunter, a former J.P. Morgan banker, and Hussam El-Sheikh, an engineer who previously worked at Deutsche Bank. The company was born from a simple but costly observation: the information that credit professionals need every single day is buried. It lives in data rooms, inside PDFs, scattered across email threads, locked inside subscription databases that do not talk to each other. Debt markets, unlike equity markets, have historically been opaque, slow, and heavily reliant on manual research.
9fin built an AI-native platform that centralises all of this fragmented intelligence and puts it to work. The platform aggregates and analyses data across bond markets, leveraged loans, high-yield debt, distressed credit, and private credit, covering both US and European markets. It uses machine learning and large language model-powered workflows to help investment professionals identify deal opportunities faster, assess credit risk more accurately, and monitor existing positions in near real time.
Today, more than 300 of the world’s leading banks, asset managers, law firms, and advisory houses use 9fin as their primary intelligence layer for debt markets. That figure was closer to 200 as recently as December 2024, when the company closed its $50 million Series B. The growth curve speaks for itself.
The $170M Round: Who Is Behind It and What It Signals
The identity of the investors matters just as much as the dollar figure. HarbourVest, which led the round, is no speculative venture firm. It manages over $150 billion in assets and has spent more than four decades backing companies with the potential to become core infrastructure for institutional markets. When a firm with that profile decides to lead a fintech Series C, it is not betting on a feature. It is betting on a platform.
Perhaps even more telling is the participation of CPP Investments, one of Canada’s most sophisticated institutional investors. CPP Investments was not just a new financial backer: it was already a paying client of 9fin before writing a cheque. That is a signal that is difficult to fake. When the institution managing retirement savings for millions of Canadians decides to use your product daily and then invest in the company behind it, it reflects a level of product confidence that no press release can manufacture.
Michael Guiness, Principal at HarbourVest Partners, described the round as a deliberate bet on the next generation of market infrastructure, noting that 9fin had built precisely what institutional finance is looking for: proprietary data combined with embedded AI workflows, rather than AI as an add-on layer bolted onto legacy data.
London as a Fintech Launchpad: Why Geography Still Matters
9fin is headquartered in London, with additional offices in New York, Hong Kong, and Belfast, and teams operating across Latin America and Asia. That geographic spread is not incidental. It reflects the architecture of global debt markets themselves, which are split between European and US credit ecosystems that operate on different timelines, different legal structures, and different risk cultures.
London remains the nerve centre of European leveraged finance and one of the world’s most important cities for structured credit, syndicated loans, and high-yield bond issuance. For a company building tools for debt market professionals, London is not just a convenient headquarters. It is the native habitat of its earliest and most demanding users.
The involvement of the British Business Bank, a UK government-backed development finance institution, adds another layer of significance. The BBB’s participation is a deliberate signal from UK economic policy that backing homegrown AI infrastructure in financial services is a strategic priority, not just a commercial bet. The UK has watched several previous generations of fintech unicorns scale abroad once American capital became dominant, and there is clear institutional appetite to prevent that pattern from repeating.
What 9fin Is Building: AI That Actually Works for Credit Professionals
There is a well-worn criticism of AI in enterprise finance: it is impressive in demos and disappointing in practice. 9fin has built its reputation by inverting that dynamic. The platform is not selling a general-purpose AI assistant with a finance skin. It is selling a purpose-built intelligence layer trained on a proprietary dataset assembled specifically for credit markets over several years.
The company’s AI capability is built around four core use cases. First, deal sourcing: surfacing relevant debt transactions, refinancings, and issuances before they become widely known in the market. Second, credit analysis: automatically extracting key terms, covenants, and risk flags from bond indentures, loan agreements, and earnings documents. Third, portfolio monitoring: tracking developments across existing credit positions, including regulatory filings, management commentary, and secondary market signals. Fourth, distressed intelligence: providing early-warning signals on deteriorating credits in leveraged loan and high-yield markets before formal restructuring processes begin.
The data moat matters enormously here. A credit intelligence platform is only as good as the quality and breadth of the underlying data it is trained on and continuously fed. 9fin has spent years assembling a dataset that no competitor has been able to replicate from scratch, and the new funding will accelerate both its depth and its geographic coverage.
Growth Numbers That Justify the Valuation
Unicorn valuations invite scrutiny, especially in a market that has grown increasingly sceptical of growth-at-all-costs stories since the venture correction of 2022 and 2023. The numbers behind 9fin deserve a closer look.
The company has delivered multiple consecutive years of 100 percent annual recurring revenue growth. It has industry-leading retention rates, meaning clients are not just signing up but actively renewing and expanding their use of the platform year over year. Its US expansion has outpaced even its internal forecasts. And it grew its client base from approximately 200 firms to more than 300 in roughly 15 months.
These are the metrics of a company that has found genuine product-market fit, not a company inflating its story to reach a valuation threshold. For institutional investors with the sophistication of HarbourVest and CPP Investments, those numbers would have been stress-tested hard before a cheque was written.
The US Expansion Play: Where the Real Growth Is Coming From
A significant portion of the Series C capital is specifically earmarked for accelerating 9fin’s growth in the United States. This is a deliberate strategic move, not a peripheral ambition.
The US leveraged loan market alone is valued at several trillion dollars. The US high-yield bond market is one of the most actively traded credit markets in the world. US private credit has ballooned over the past decade as banks have retreated from leveraged lending under regulatory pressure, creating an enormous class of non-bank lenders who need the same kind of deep intelligence infrastructure that 9fin provides. The US expansion is not just a nice-to-have. It is the central growth thesis of this funding round.
9fin already has a New York office and US-facing product coverage. The new capital will allow it to hire aggressively on the sales, data, and engineering sides of that operation, compress the timeline to becoming the default intelligence platform for US credit professionals, and deepen the proprietary US data that anchors its AI advantage.
What This Means for the UK Fintech Ecosystem in 2026
The UK has produced a remarkable number of financial technology companies over the past decade, from payments and neobanking through to insurance and wealth management infrastructure. What has been notably thinner on the ground is deep, institutional-grade fintech built for the wholesale markets. 9fin’s rise fills that gap in a meaningful way.
Reaching unicorn status at a $1.3 billion valuation while remaining headquartered in London, retaining a substantial share of its engineering in Belfast, and growing organically from a team that understood European debt markets from the inside makes 9fin a genuinely useful data point for the broader UK startup narrative. It demonstrates that deep financial technology, built for institutional clients, can compete globally from a British base.
It also matters for the talent pipeline. Every time a company like 9fin reaches this scale, it attracts more engineers, data scientists, and finance professionals into the UK fintech ecosystem, and it creates a cohort of experienced operators who will go on to found or fund the next generation of startups.
The Bigger Picture: AI Is Reshaping Institutional Finance, Quietly
The conversation around AI in financial services has been dominated by two extremes. On one end, the breathless narrative of AI replacing bankers and fund managers wholesale. On the other, scepticism from practitioners who have seen too many technology cycles promised as transformative and delivered as marginal.
9fin represents a more interesting middle path: AI that is embedded into the actual workflows of credit professionals, that works because it is trained on the right data, and that is measured by retention and revenue growth rather than by demo impressiveness. The company is not building AI for AI’s sake. It is building tools that help experienced practitioners do their jobs better and faster, in a market where faster and better directly translates into competitive returns.
CEO Steven Hunter has framed the company’s ambition with unusual directness, describing 9fin’s goal as becoming the only platform credit professionals ever need. That is an audacious goal, but one that the company’s growth trajectory, product depth, and now its capital base give it a credible path toward achieving.
Final Thoughts: Why the 9fin Milestone Deserves More Attention Than It Got
Funding rounds at this scale in consumer fintech tend to generate significant media attention. When a neobank raises at a headline valuation, it trends. When a platform serving institutional credit markets raises at a $1.3 billion valuation backed by the institution managing Canadian pension capital, it tends to be covered in industry publications and move on.
That asymmetry in attention is itself a story. The financial infrastructure being built right now for institutional debt markets will shape how trillions of dollars in credit capital are allocated over the next decade. The companies building that infrastructure are making decisions today about which risks get financed, which businesses get access to credit, and at what price.
9fin’s Series C is not just a funding milestone. It is an early indicator of what AI in wholesale financial markets actually looks like when it is built with the right data, the right users in mind, and the right institutional backing behind it.
If you are tracking where AI is genuinely creating durable value in financial services in 2026, London’s latest unicorn is worth watching closely.
