9fin: Inside the AI Platform Reshaping Global Debt Markets
Credit markets move fast, and for the professionals who live inside them, the cost of being a step behind is measured not in inconvenience but in missed mandates, miscalculated risk, and deals won by competitors who saw things earlier. For too long, the data infrastructure available to credit teams has not kept pace with the complexity or speed of the markets they navigate. Fragmented tools, slow manual research, and legacy platforms built for a pre-AI world have meant that even the most sophisticated institutions spend more time gathering information than acting on it. 9fin was built to end that gap.
The London-headquartered company describes itself as the AI-native intelligence platform for the global debt markets, and across its client base of more than 300 elite financial institutions, it is delivering on that description in ways that are measurably changing how credit professionals work.
A Unicorn Built on Proprietary Data and Deep Domain Expertise
On 31 March 2026, 9fin announced it had raised $170 million in a Series C funding round at a valuation of $1.3 billion, making it the latest addition to Europe’s growing fintech unicorn stable. The round was led by HarbourVest, the private equity investor, with participation from the Canada Pension Plan Investment Board and returning investors including Redalpine, Highland Europe, Spark Capital, and Seedcamp. The company had been valued at approximately $500 million as recently as 2024, when it raised $50 million, making the trajectory to unicorn status in under two years a reflection of both the scale of the market opportunity and the pace at which 9fin has been growing into it.
The capital will be directed at three priorities: advancing 9fin’s AI capabilities, deepening its proprietary data assets, and accelerating international expansion across geographies and asset classes. CEO and co-founder Steven Hunter framed the company’s ambition clearly: “AI will redefine the credit markets, but only if it’s powered by proprietary data and embedded into how professionals actually work. That’s exactly what we’ve built at 9fin. Our ultimate goal is to be the only platform credit professionals ever need.” That goal is no longer hypothetical. Across investment banks, asset managers, law firms, and advisory firms, 9fin has become the platform that credit teams reach for first.
The Problem 9fin Was Built to Solve
Global debt markets are among the most data-intensive environments in finance. A single leveraged buyout financing involves hundreds of pages of offering memoranda, loan agreements, covenant packages, and financial models. A distressed credit situation requires continuous monitoring of legal filings, restructuring developments, liability management exercises, and secondary market trading. A CLO manager overseeing a portfolio of hundreds of loans needs real-time insight into every position, every covenant trigger, and every credit event across a universe that changes daily.
And a private credit investor seeking to deploy capital into the direct lending market needs visibility into a market that is, by its nature, opaque and fragmented.
Before 9fin, credit professionals navigated this environment with a patchwork of tools: expensive data terminals providing limited functionality, email newsletters from brokers and advisors, manual document reviews conducted by junior team members, and networks of personal contacts that varied in reliability and reach. The result was that even the best-resourced teams were working with incomplete information, spending hours on research that should take minutes, and making decisions in conditions of greater uncertainty than the available data should have required.
9fin’s platform addresses all of these failure points simultaneously, bringing data, documents, news, and AI tools into a single connected workflow built around the way credit professionals actually operate.
9fin’s Platform: Three Pillars, One Connected Workflow
9fin’s platform is structured around three interconnected capabilities that together give credit teams complete visibility across the debt markets they operate in.
Data and Analytics
The data layer is the foundation of everything 9fin does, and it spans more than two decades of bond and loan information covering terms, pricing, trading history, covenant packages, and financial performance across thousands of issuers. Credit professionals can screen opportunities using pricing and relative value data, build comparable company analyses in minutes rather than hours, examine capital structures across multiple public and private credits on a single screen, and trace every data point back to its original source document.
For bond and leveraged loan coverage, 9fin offers near-complete records going back to 2005, giving analysts the historical context needed to benchmark what is truly market precedent versus what represents unusual risk or opportunity in any given deal.
Predictive analytics sit on top of this data foundation, enabling users to identify refinancing triggers, maturity walls, and likely issuers before deals are formally announced. For origination teams at investment banks, this capability functions, as one managing director described it, as a business development hit list: a continuously updated screen of companies approaching situations where new financing will be needed, allowing bankers to engage with potential clients months before a mandate becomes competitive.
The company’s deal prediction tools are built on two decades of market data and identify patterns in company behaviour, capital structure evolution, and market conditions that precede issuance activity, giving users a structural information advantage over competitors who are waiting for formal announcements.
AI Research Tools
AI is woven through the 9fin platform as a research accelerator rather than a replacement for professional judgment. The platform’s AI tools are designed to take the most time-consuming elements of credit research, document review, earnings call analysis, covenant parsing, company profiling, and comparative analysis, and compress them from hours to minutes without sacrificing the accuracy and transparency that professionals in regulated markets require.
Covenant analysis is one of the clearest illustrations of this value. A standard leveraged finance offering memorandum runs to several hundred pages. The covenant package alone, the section governing what a borrower can and cannot do with respect to additional debt, restricted payments, asset sales, and change of control provisions, can span dozens of pages of dense legal drafting. 9fin’s covenant AI tools parse these documents and deliver structured, searchable summaries that allow analysts to benchmark terms against precedent deals in seconds.
As one director at a global bank put it: “9fin’s AI-powered parsing of 500 to 700 page covenant docs saves entire days of work.” That is not a marginal efficiency improvement. It is a fundamental change in how much ground a credit team can cover in a given period.
The AI tools also handle earnings call transcription and summarisation, publishing a downloadable copy of a call’s content within minutes of it ending and generating AI-produced company tear sheets that show corporate structure, financial performance, capitalisation, and key risks without requiring an analyst to build that summary from scratch.
Across these applications, 9fin’s AI maintains a consistent commitment to transparency: every AI-generated output is linked back to its source, so professionals can verify, challenge, and build on what the AI has produced rather than treating it as a black box.
News and Analysis
The third pillar of 9fin’s platform is its editorial and analytical content, produced by a team of journalists, lawyers, and credit analysts with deep domain expertise across every market the platform covers. This is not a generic financial news feed. It is specialist intelligence: deal scoops ahead of public announcements, covenant analysis on live transactions, legal insight into restructuring situations, and sector-level analysis of how conditions are shifting across different parts of the credit market.
The combination of speed and depth is what distinguishes 9fin’s news offering from both traditional financial news services and from the broker research that credit professionals have historically relied on. As one leveraged DCM professional at a tier-one investment bank noted: “9fin is the first thing I look at in the morning and I’m on it all day.”
Who 9fin Serves: A Platform Built for Every Credit Team
9fin serves four distinct professional communities across the credit markets, each with its own workflow requirements and intelligence needs, and it has built dedicated product experiences for each.
Banks: Origination, Sales and Trading, Restructuring, and Securitisation
For investment and commercial banks operating in credit markets, 9fin provides intelligence across the full range of banking activity. Origination teams use the platform to identify potential clients early, build pitch materials rapidly, and track sponsor and issuer behaviour across markets. The predictive analytics tools are particularly valued here, enabling bankers to spot refinancing opportunities and approach companies with relevant ideas before competitors are aware a conversation is happening. Sales and trading teams use the platform for real-time market monitoring, pricing intelligence, and the kind of fast, targeted credit analysis that supports client conversations in fast-moving market conditions.
Restructuring teams have access to 9fin’s comprehensive distressed credit database, including early warning signals, liability management exercise tracking, and legal analysis of restructuring situations across multiple jurisdictions. Securitisation teams benefit from the platform’s granular CLO data and asset-based finance coverage, including breaking news, covenant data, and expert analysis across structured finance markets.
Buyside: From Performing Credit to Distressed and CLO Management
Asset managers and credit investors across every strategy find purpose-built intelligence on 9fin’s buyside platform. Performing credit investors, those managing high yield bond and leveraged loan portfolios, use the platform to monitor new issuance, screen opportunities, access financial and covenant data, and stay ahead of credit events. Private credit investors, increasingly active in a direct lending market that has grown dramatically over the past decade, benefit from 9fin’s Business Development Company holdings data, which covers portfolios from more than 150 BDCs and provides visibility into a market that is notoriously difficult to monitor from the outside.
Distressed and special situations investors have access to 9fin’s restructuring tracker, liability management exercise monitoring, and the kind of early warning analysis that identifies stressed credits before they become publicly distressed, providing the time advantage that this strategy demands. CLO managers have a dedicated intelligence layer covering manager performance, deal structures, portfolio composition, and the market developments that affect pricing and issuance dynamics across the structured credit universe.
The AI-Native Difference: Built From the Ground Up, Not Bolted On
The distinction between an AI-native platform and a legacy platform with AI features added is not merely marketing language. It reflects a fundamentally different architecture, and in 9fin’s case, a different set of choices made at the founding about what kind of company to build. Many financial data providers have responded to the AI moment by layering language model capabilities over existing products, producing tools that can summarise content the platform already holds but that do not change the underlying experience of using the platform.
9fin was designed from the beginning around the assumption that AI would be central to how credit professionals access, process, and act on information, which means the AI capabilities are integrated into the data and research workflow rather than existing as separate features that users must actively invoke.
The proprietary data asset that underlies 9fin’s AI is also distinctive. AI models are only as useful as the data they are trained and grounded on, and in credit markets, the most valuable data is not what is publicly available but what has been structured, verified, and enriched by domain experts over time.
9fin’s two decades of bond and loan data, its comprehensive covenant library, its private credit visibility, and its real-time news coverage together constitute a proprietary data asset that generic AI tools cannot replicate.This is precisely why 9fin’s CEO framed the company’s competitive position in terms of proprietary data and professional workflow integration, not just AI capability in the abstract.
“9fin has been instrumental in giving us access to high-quality analytics, which we leverage to structure our transactions intelligently and operate with greater efficiency.”
Thierry Aoun, Partner, Capital Markets — IK Partners
A Global Platform With a London Heart
9fin is headquartered in London, at 100 Bishopsgate in the heart of the City, with a Belfast office focused on data operations and engineering, and operations spanning New York, Asia, and Latin America. The geographical spread reflects the global nature of the debt markets it serves: leveraged finance operates across both sides of the Atlantic; distressed situations arise in every major jurisdiction; private credit is a worldwide phenomenon; and CLO markets have significant presences in both the US and Europe.
The company’s editorial and analytical teams are correspondingly global, with journalists and credit analysts covering European, US, and increasingly Asia-Pacific and Latin American markets with the same depth and speed that made 9fin’s reputation in the leveraged finance space.
The company’s client base of more than 300 elite financial institutions includes names visible across the logos on its platform: BNP Paribas, Lloyds Bank, NatWest Markets, UBS Asset Management, Apollo, Baillie Gifford, Invesco, Allen Overy Shearman Sterling, Milbank, Greenberg Traurig, and dozens of other firms that collectively represent a significant cross-section of the global credit industry.
That breadth of adoption is itself a signal: in a market where data and intelligence products succeed only if they are materially better than alternatives, 9fin’s penetration across investment banks, asset managers, law firms, and advisory houses reflects genuine product-market fit across very different professional contexts.
What Comes Next for 9Fin and The Future of AI in Debt Market Intelligence?
The $170 million raised in the Series C round is earmarked for a clear set of priorities. AI development will continue to be the central investment, with 9fin building deeper and more capable AI tools that reduce the time credit professionals spend on information gathering and increase the time they spend on judgment and action. Proprietary data will be expanded across asset classes and geographies, deepening the advantage that comes from having the most comprehensive, most structured, most professionally curated data set in the market.
And international expansion will extend 9fin’s reach into markets where it is already present but not yet as deeply embedded as it is in the US and UK leveraged finance markets.
For the credit professionals who use it daily, 9fin’s ambition is simple to articulate and demanding to deliver: to be the only platform they ever need. In a world where the complexity of global debt markets is increasing, where public and private credit are converging, where the volume of relevant information is growing faster than any team can manually process, and where the competitive advantages of speed and information quality compound directly into financial outcomes, that ambition points toward something genuinely significant.
9fin is not building a better financial data terminal. It is building the intelligence infrastructure for a new era of credit markets, and with a billion-dollar valuation, three hundred elite clients, and the most comprehensive AI-native platform in the space, it is further along that journey than most of its competitors have yet recognised.
The development of AI-native platforms like 9fin reflects a broader transformation in how financial markets operate. As data becomes more abundant and complex, traditional methods of analysis are becoming less effective. AI offers a way to process this data at scale, providing insights that were previously difficult to obtain. In debt markets, this can lead to improved transparency, faster decision-making, and better risk management.
While challenges remain, particularly around data quality and model reliability, the direction of travel is clear. Financial institutions are increasingly adopting AI-driven tools to enhance their capabilities. The evolution of platforms like 9fin suggests that the future of financial intelligence will be shaped by the integration of data, analytics, and artificial intelligence. AI-native intelligence platforms such as 9fin represent a meaningful shift in financial infrastructure, particularly in complex and traditionally opaque markets like credit, where speed, accuracy, and insight can significantly influence outcomes.