Thanks, Craig. Good morning, everyone. Since inception, our investment strategy has been to invest in a broad range of established and high-growth technology companies. To date, software companies have presented the most attractive investment opportunities, and as a result, software comprises approximately 70% of our portfolio. The balance of the portfolio is made up of tech-enabled services, other technology sectors, life sciences and a small portion of nontechnology investments. We remain enthusiastic proponents of software. Software is an enabling technology that can serve every sector, end market and company in the world. It's not a monolith and neither is AI. Great software businesses provide mission-critical solutions that enhance productivity, drive efficiency and replace analog and error-prone ways of conducting business. The software industry has navigated significant shifts before. When the industry moved from on-premise license and maintenance models to cloud subscription-based pricing models, there were winners and losers, but the shift ultimately expanded markets and strengthened the category. Like the cloud transition, we expect Gen AI to drive significant long-term value through increased product utility, operating leverage and expanding enterprise software wallet share. Our underwriting thesis remains focused on sticky, mission-critical applications where AI serves as an additive layer rather than a replacement. We believe the most resilient winners will be incumbents to successfully integrate these capabilities to solve complex enterprise-grade challenges, thereby increasing switching costs and solidifying their status as essential corporate infrastructure. Given the heightened focus on software, it can be easy to think about it as a single homogenous sector. That isn't how we underwrite or manage our portfolio. Instead, we think about our software exposure across 3 core categories: applications, systems and infrastructure and fintech and payments, which together represent roughly 70% of the portfolio. I'll briefly walk through each one of these. First is application software, which represents about 50% of the portfolio and is the operating layer for core business functions, including ERPs, CRMs, supply chains and vertical-specific SaaS. We believe incumbents in these categories can be insulated because they control the proprietary data and complex workflows that AI needs to be useful in an enterprise context. As true systems of record, these platforms are extremely difficult to replace, and we believe will evolve into systems of action where AI increases product utility, deepens customer reliance and broadens opportunity to expand within their existing customer base. Second is systems and infrastructure software, about 20% of the portfolio, where cybersecurity is the largest component. This is the defense layer that protects enterprise data and networks to keep systems connected and operating reliably. We see this as structurally resilient and a beneficiary of the AI transition as businesses expand technology, services and complexity across the organization. Finally, fintech and payments is approximately 5% of the portfolio. These businesses provide the critical rails for the global movement of capital, a category we view as insulated from AI disruption. While AI can improve things like fraud detection and the customer interface, the core need for secure, regulated and reliable movement of funds remains unchanged and create significant moats for incumbents. The categories we prioritize each play a specific functional role that is difficult to bypass. Even as the technology landscape shifts, the need for auditability, control and data integrity remains constant. As such, we believe these companies are well positioned to remain as the foundational layer to which new AI-driven activity is governed and executed. While there will certainly be winners and losers as AI reshapes the landscape, we believe the market leaders we finance are using AI to stay on the winning side of that transition. We have navigated major technological shifts before, such as the transition to the cloud. However, AI feels fundamentally different because it is a daily presence. We interact with it personally. It's in our pockets, in our homes, which creates a unique sense of both its power and its potential risk. But as we move this technology into the enterprise, we must distinguish between personal utility and business-critical execution. The challenge with AI and current large language models is that while it is world-class at communicating, its underlying nature is probabilistic. It is a statistical engine designed to predict the next logical pattern. This is excellent for a personal assistant, but it is a problem for systems that need to be precisely accurate. A payroll calculation or bank transfer is either 100% correct or is a failure. And the corporate world almost right is completely wrong. This is why we believe established software leaders, the incumbents, occupy a much stronger position than the market currently discounts. These companies own the systems of record and the workflow. They have spent decades codifying the intricate rules of how a hospital operates or how a global supply chain moves. They don't just have the data, they have the operational context. We engage regularly with our nearly 200 portfolio companies and their sponsors. And what we're seeing is that AI isn't theoretical, it's already operational. Many of these businesses are backed by sophisticated private equity sponsors that are investing meaningful resources to embed AI into products and workflows in ways that strengthen their leadership positions. In our portfolio, the incumbents are using AI inside proven zero error frameworks, using AI to help with reasoning while relying on their proven deterministic software to execute. Importantly, that framing matters for us as lenders. A lot of the public debate right now is being expressed through equity market volatility, who wins the growth, who captures the upside and how valuations reset. Our returns don't rely on hyper growth. We underwrite for durability and downside protection first. The portfolio is predominantly senior secured, and we're typically sitting at low 30s LTVs, meaning that over 65% of the company's value would need to be impaired before our investment is impacted. There is inherently a margin of safety in our capital structure. And we're not taking loan bets. Our loans generally have an average duration of 3 to 5 years, which gives us a defined time horizon for how this evolution plays out. In addition, the portfolio turns over actively with about 1/4 of the book repaying each year, which means a large portion of today's portfolio has been underwritten in an AI world. Many of these businesses are built on multiyear contractual recurring revenue models, which supports stability through periods of change and we have contractual maturities, ultimately, we must be repaid. Underpinning all of this is our specialized dedicated technology investing team of over 40 professionals who have been continuously pressure testing our underwriting and portfolio as AI reshapes the landscape. With that, I'll jump into an overview of investment activity for the quarter. As we previewed on our last call, our pipeline was very strong. In the fourth quarter, we converted that backlog and meaningfully more, deploying $2.3 billion of new investment commitments, including $2 billion of new investment fundings, while repayments remained steady at $881 million. This activity drove a meaningful increase in net leverage over the period, which will translate into improving returns over time. And while we've been very active, make no mistake, the bar for new investments is higher than it has ever been as we factor in a rapidly evolving AI landscape. There are areas that were once investable several years ago that we are now passing on. Although we do not have full visibility into repayment activity, we have a meaningful backlog of approximately $900 million in transactions that we expect to fund next quarter, positioning us to continue deploying capital toward our portfolio growth targets. These investments remain subject to documentation and approvals, but our pro forma leverage based on these anticipated fundings and visible repayments would bring us to the bottom end of our target leverage range, slightly ahead of expectations at our listing. Looking ahead, we remain encouraged by the quality and momentum of our near-term pipeline, which continues to support disciplined portfolio growth through 2026. Now I'll turn the call over to Jonathan to discuss our financial results in more detail.